<h1>Lab Details</h1>

<ol>
	<li>
	In this lab,&nbsp;you will learn how to create a Notebook and to connect to the Apache Spark pool and run Spark SQL queries against files and tables.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Apache Spark Pool?</h2>

<ul>
	<li>
	Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.&nbsp;
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, and analyze your data. A dedicated SQL pool offers T-SQL based compute and storage capabilities. After creating a dedicated SQL pool in your Synapse workspace, data can be loaded, modeled, processed, and delivered for faster analytic insight.
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, analyze, and distribute your data.&nbsp;
	</li>
	<li>
	Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big data analytic applications. Apache Spark in Azure Synapse Analytics is one of Microsoft&#39;s implementations of Apache Spark in the cloud.&nbsp;
	</li>
	<li>
	Azure Synapse makes it easy to create and configure a serverless Apache Spark pool in Azure. Spark pools in Azure Synapse are compatible with Azure Storage and Azure Data Lake Generation 2 Storage. So you can use Spark pools to process your data stored in Azure.
	</li>
	<li>
	An Apache Spark pool provides open-source big data compute capabilities. After you&#39;ve created an Apache Spark pool in your Synapse workspace, data can be loaded, modeled, processed, and distributed for faster analytic insight.
	</li>
</ul>

<h1>Architecture Diagram 
<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_472/notebook_synapse.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Synapse Analytics workspace
	</li>
	<li>
	Create an Apache Spark pool with Azure Portal&nbsp;
	</li>
	<li>
	Create a Notebook
	</li>
	<li>
	Run Spark SQL queries
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to perform exploratory data analysis by using Azure Open Datasets and Apache Spark and then visualize the results in a Synapse Studio notebook in Azure Synapse Analytics.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Apache Spark Pool?</h2>

<ul>
	<li>
	Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.&nbsp;
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, and analyze your data. A dedicated SQL pool offers T-SQL based compute and storage capabilities. After creating a dedicated SQL pool in your Synapse workspace, data can be loaded, modeled, processed, and delivered for faster analytic insight.
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, analyze, and distribute your data.&nbsp;
	</li>
	<li>
	Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big data analytic applications. Apache Spark in Azure Synapse Analytics is one of Microsoft&#39;s implementations of Apache Spark in the cloud.&nbsp;
	</li>
	<li>
	Azure Synapse makes it easy to create and configure a serverless Apache Spark pool in Azure. Spark pools in Azure Synapse are compatible with Azure Storage and Azure Data Lake Generation 2 Storage. So you can use Spark pools to process your data stored in Azure.
	</li>
	<li>
	An Apache Spark pool provides open-source big data compute capabilities. After you&#39;ve created an Apache Spark pool in your Synapse workspace, data can be loaded, modeled, processed, and distributed for faster analytic insight.
	</li>
</ul>

<h1>Architecture Diagram 
<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_472/notebook_synapse.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Synapse Analytics workspace
	</li>
	<li>
	Create an Apache Spark pool with Azure Portal&nbsp;
	</li>
	<li>
	Create a Notebook
	</li>
	<li>
	Download and prepare the data
	</li>
	<li>
	Analyze &amp; Visualize data
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to create an Azure Data Explorer cluster and database.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Data Explorer?</h2>

<ul>
	<li>
	Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.
	</li>
</ul>

<ul>
	<li>
	With Azure Data Explorer, you can ingest terabytes of data in minutes in batch or streaming mode. You can query petabytes of data, with results returned within milliseconds to seconds. Azure Data Explorer provides high velocity (millions of events per second), low latency (seconds), and linear scale ingestion of raw data.&nbsp;
	</li>
</ul>

Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_486/working_with_data_explorer.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a cluster
	</li>
	<li>
	Create a database
	</li>
	<li>
	Run basic commands
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you&#39;ll be working in the stand-alone Azure Data Explorer web UI to query the data.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Data Explorer?</h2>

<ul>
	<li>
	Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.
	</li>
</ul>

<ul>
	<li>
	With Azure Data Explorer, you can ingest terabytes of data in minutes in batch or streaming mode. You can query petabytes of data, with results returned within milliseconds to seconds. Azure Data Explorer provides high velocity (millions of events per second), low latency (seconds), and linear scale ingestion of raw data.&nbsp;
	</li>
</ul>

<h1>Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_491/query_data_in_azure_data_explorer.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a cluster
	</li>
	<li>
	Create a database
	</li>
	<li>
	Ingest the sample data
	</li>
	<li>
	Run queries
	</li>
	<li>
	Explore the results grid
	</li>
</ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps&nbsp;to create an Analysis Services server resource in your Azure subscription by using an Azure Resource Manager template.</li><li dir="ltr">Duration:&nbsp;30&nbsp;minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an Analysis Services server?</h2><ul><li dir="ltr">Analysis Services is a cloud-based platform for creating and deploying enterprise-level data models and business intelligence solutions in Azure.</li><li dir="ltr">An Analysis Services server in Azure is a dedicated instance of Analysis Services that provides data modeling and analysis capabilities for your business intelligence applications.</li><li dir="ltr">Analysis Services in Azure supports both traditional multidimensional and modern tabular data models.</li><li dir="ltr">The service is fully managed, meaning that Azure takes care of the hardware, software, and maintenance of the service.</li><li dir="ltr">You can create an Analysis Services server in Azure through the Azure portal or using PowerShell and other command-line tools.</li><li dir="ltr">An Analysis Services server in Azure can host Power BI reports and dashboards, allowing you to build end-to-end business intelligence solutions.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram <img src="https://labresources.whizlabs.com/041c8c8a0aceead5d3f3694c217c72d5/analysis%20services%20server_15_56.png" style="height: 466px; margin-left: 0px; margin-top: 0px; width: 800px;"></h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployment</li></ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab, you will learn how to create an Analysis Services server resource in your Azure subscription by using the portal.</li><li dir="ltr">Duration:&nbsp;30 minutes</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Analysis Services server?</h2><ul><li dir="ltr">Analysis Services is a cloud-based platform for creating and deploying enterprise-level data models and business intelligence solutions in Azure.</li><li dir="ltr">An Analysis Services server in Azure is a dedicated instance of Analysis Services that provides data modeling and analysis capabilities for your business intelligence applications.</li><li dir="ltr">Analysis Services in Azure supports both traditional multidimensional and modern tabular data models.</li><li dir="ltr">The service is fully managed, meaning that Azure takes care of the hardware, software, and maintenance of the service.</li><li dir="ltr">You can create an Analysis Services server in Azure through the Azure portal or using PowerShell and other command-line tools.</li><li dir="ltr">An Analysis Services server in Azure can host Power BI reports and dashboards, allowing you to build end-to-end business intelligence solutions.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram <img src="https://labresources.whizlabs.com/40a74988dd97a4d3c38ea0c93c01fa97/image4_28_37.png" style="height: 533px; margin-left: 0px; margin-top: 0px; width: 800px;"></h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Sign in to Azure Portal</li><li dir="ltr">Create an Analysis Services server</li><li dir="ltr">Add a sample model</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Launching Lab Environment</h1><ol><li dir="ltr">To launch the lab environment, click on the&nbsp;<img src="https://labresources.whizlabs.com/40a74988dd97a4d3c38ea0c93c01fa97/image13_29_06.png" style="height: 36px; margin-left: 0px; margin-top: 0px; width: 253px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the lab is started, you will be provided with a&nbsp;username&nbsp;and&nbsp;password.</li></ol>&nbsp;&nbsp;&nbsp;&nbsp;Note&nbsp;: You can only start one lab at a time.<div>&nbsp;</div>

<h1 dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; color: rgb(85, 85, 85);"><span style="color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap; font-family: Arial;">Lab Details</h1><ol style="margin-bottom: 0px; padding-inline-start: 48px;"><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">In this lab we will use Bicep to create an Analysis Services server resource in the Azure portal.</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Duration: <span style="background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">30 minutes. </li></ol><h1 dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="line-height: 1.2; color: rgb(85, 85, 85); margin-top: 0pt; margin-bottom: 0pt;"></h2><span style="font-size: 14pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">What is Azure Analysis Services server?<h2 style="color: rgb(85, 85, 85);"><ul style="margin-bottom: 0px; padding-inline-start: 48px;"><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services is a PaaS offering from Microsoft Azure that provides enterprise-level data modeling, analysis, and reporting capabilities in the cloud.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">It enables businesses to create and deploy semantic data models, multidimensional analysis, and tabular data models with ease.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services supports a range of data sources, including Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other relational databases.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">It offers robust security features, such as role-based access control, to ensure data privacy and protect sensitive information.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">With Azure Analysis Services, organizations can perform complex data analysis and gain insights from large data sets.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">It enables businesses to create interactive dashboards, scorecards, and reports that can be shared with users across the organization, including business analysts, data scientists, and decision-makers.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services is a powerful platform for organizations that want to leverage the cloud to create scalable and intelligent data solutions that drive business value.</li></ul></h2><h2 dir="ltr" style="color: rgb(85, 85, 85); margin-top: 0pt; margin-bottom: 0pt;">What is a Bicep file? </h2><ul style="margin-bottom: 0px; padding-inline-start: 48px;"><li aria-level="1" dir="ltr" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Bicep (short for "Bicep is a declarative language for describing Azure resources") is a domain-specific language (DSL) for Azure Resource Manager (ARM) templates.&nbsp;	</li><li aria-level="1" dir="ltr" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">A Bicep file is a file written in the Bicep language that defines the infrastructure and resources that make up an Azure deployment.	</li><li aria-level="1" dir="ltr" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Bicep files are used to create, deploy, and manage Azure resources using Infrastructure as Code (IaC) principles.&nbsp;	</li><li aria-level="1" dir="ltr" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Bicep files are easier to read and maintain than ARM templates, as they use a more intuitive syntax and allow for modularization and reuse of code. </li></ul><h1 dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; color: rgb(85, 85, 85);"><span style="color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">Architecture Diagram <img src="https://labresources.whizlabs.com/937c63fb28b3b8e0b3dc7e5e0a08ffab/analysis%20services%20bicep_42_34.png" width="25%" style="width: 728.2px; height: 450.991px;"> </h1> Task Details

<ol style="margin-bottom: 0px; padding-inline-start: 48px;"><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Sign in to Azure Portal	</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Explore the Bicep file	</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Deploy the Bicep file	</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Verify your deployment	</li></ol><h1 dir="ltr" style="margin-top: 20pt; margin-bottom: 6pt; line-height: 1.38; color: rgb(85, 85, 85);">Launching Lab Environment</h1><ol style="margin-bottom: 0px; padding-inline-start: 48px;"><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">To launch the lab environment, click on the <img alt="" src="https://labresources.whizlabs.com/3b2db94926f069a4e5058b17aea458e1/image11_05_10.png" style="width: 253px; height: 38px;"><span style="font-family: arial, helvetica, sans-serif; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;"> button.	</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Please wait until the cloud environment is provisioned.	</li><li aria-level="1" dir="ltr" style="list-style-type: decimal; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Once the lab is started, you will be provided with a <span style="font-family: arial, helvetica, sans-serif; background-color: transparent; font-weight: 700; font-style: italic; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">username<span style="font-family: arial, helvetica, sans-serif; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;"> and <span style="font-family: arial, helvetica, sans-serif; background-color: transparent; font-weight: 700; font-style: italic; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">password<span style="font-family: arial, helvetica, sans-serif; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">. 	</li></ol><span style="color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">&nbsp;&nbsp;&nbsp;&nbsp;Note<span style="color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;"> : You can only start one lab at a time.

<h1 style="color: rgb(85, 85, 85);">&nbsp;Lab Details</h1><ol><li>In this lab we will&nbsp;learn how to create an Azure Analysis Services server using Terraform.</li><li>Duration:&nbsp;30&nbsp;minutes.</li></ol><h1 style="color: rgb(85, 85, 85);">Introduction</h1><h2 style="line-height: 1.2; color: rgb(85, 85, 85); margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 16pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">What is an Azure Analysis Services server?</h2><h2 dir="ltr" style="color: rgb(85, 85, 85);"><ul style="margin-bottom: 0px; padding-inline-start: 48px;"><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services enables users to create and deploy semantic models that define the structure, relationships, and calculations for analytical data. These models can be built on top of various data sources, including on-premises databases, Azure data services, and other cloud-based platforms.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services supports both multidimensional and tabular models. Multidimensional models are based on the traditional OLAP (Online Analytical Processing) approach and are well-suited for complex business scenarios. Tabular models use an in-memory columnar database and provide fast query performance for large volumes of data.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services leverages the power of Azure's cloud infrastructure to provide scalability and high performance. It can handle large data sets and support hundreds or even thousands of concurrent users, ensuring optimal query response times and efficient data processing.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Azure Analysis Services seamlessly integrates with other Azure services, such as Azure Data Factory, Azure Databricks, Azure Machine Learning, and Power BI. This integration allows for streamlined data pipelines, advanced analytics, and rich visualization capabilities.</li></ul></h2><h2 style="color: rgb(85, 85, 85);">What is Terraform?</h2><ul><li>Terraform is an open-source infrastructure as code (IC) software tool created by HashiCorp.</li><li>It allows users to define, provision, and manage infrastructure resources (such as virtual machines, storage accounts, and network interfaces) in a cloud environment through code.</li><li>Terraform uses a declarative language to describe the desired state of the infrastructure and automatically creates the necessary resources to achieve that state.</li><li>It supports multiple cloud providers (such as AWS, Azure, and Google Cloud Platform) and other infrastructure platforms (such as Kubernetes and OpenStack).</li><li>Terraform follows a plan and apply workflow that allows users to preview changes before applying them to the infrastructure, helping to prevent misconfigurations and unexpected downtime.</li><li>Terraform keeps track of the current state of the infrastructure, allowing users to easily update, destroy, or recreate resources as needed.</li><li>Terraform modules enable users to create reusable blocks of infrastructure code that can be shared across projects or teams.</li><li>Terraform can be used in a team environment, allowing multiple users to work on the same infrastructure codebase concurrently and providing version control for infrastructure changes.</li><li>Terraform is widely used by DevOps engineers, infrastructure teams, and developers to automate infrastructure provisioning and configuration, reduce human error, and increase productivity.</li></ul><h1 style="color: rgb(85, 85, 85);">Architecture Diagram</h1><img src="https://labresources.whizlabs.com/098e743a436302ffe9a0993af9846e93/analysisserver_08_01.png" width="25%" style="width: 645.2px; height: 379.968px;"> &nbsp;<h1 style="color: rgb(85, 85, 85);">Task Details</h1><ol><li>Sign in to Azure Portal</li><li>Explore the Terraform code</li><li>Deploy the Terraform code</li><li>Verify your deployment</li></ol><h1 style="color: rgb(85, 85, 85);">Launching Lab Environment</h1><ol><li>To launch the lab environment, click on the&nbsp;<img alt="" src="https://labresources.whizlabs.com/9bef332814dd1bb1a7c86df2106a69b4/image15_29_47.png" style="height: 36px; width: 237px;">&nbsp;button.</li><li>Please wait until the cloud environment is provisioned.</li><li>Once the lab is started, you will be provided with a&nbsp;username&nbsp;and&nbsp;password.</li></ol>&nbsp;&nbsp;&nbsp; Note&nbsp;: You can only start one lab at a time.

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab we will walk through the steps of implementing Azure File Sync service using the Azure portal.
	</li>
	<li>
	Duration:&nbsp;150 minutes.
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure File Share?</h2>

<ul>
	<li>
	Azure File offers fully managed file shares in the cloud that are accessible via the Server Message Block (SMB) protocol or Network File System (NFS) protocol.
	</li>
	<li>
	SMB Azure file shares can be cached on Windows Servers with Azure File Sync for faster access where the data is being used.
	</li>
</ul>

<h2>What is Azure File Sync?</h2>

<ul>
	<li>
	Azure File Sync helps in centralizing your organization&rsquo;s file shares in Azure Files, while keeping the flexibility, performance and compatibility of a Windows file server.
	</li>
	<li>
	Azure File Sync has the ability to transform Windows server into a quick cache of your Azure File Share.
	</li>
	<li>
	Using Cloud tiering, your most frequently accessed files are cached on your local server and your least frequently accessed files are tiered to the cloud.
	</li>
</ul>

<h1>Architecture Diagram</h1>

&nbsp;

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Storage Account
	</li>
	<li>
	Create an SMB File Share
	</li>
	<li>
	Deploy two Windows Servers
	</li>
	<li>
	Prepare Windows Server to use with Azure File Sync
	</li>
	<li>
	Deploy the Storage Sync Service
	</li>
	<li>
	Install the Azure File Sync Agent
	</li>
	<li>
	Register Windows Server with Storage Sync Service
	</li>
	<li>
	Create a Sync Group and a Cloud Endpoint
	</li>
	<li>
	Create a Server Endpoint in the Sync Group
	</li>
	<li>
	Test the Sync Group with One Server Endpoint
	</li>
	<li>
	Test the Sync Group with Two Server Endpoints
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to load sample data into an Azure Data Explorer database.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Data Explorer?</h2>

<ul>
	<li>
	Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.
	</li>
</ul>

<ul>
	<li>
	With Azure Data Explorer, you can ingest terabytes of data in minutes in batch or streaming mode. You can query petabytes of data, with results returned within milliseconds to seconds. Azure Data Explorer provides high velocity (millions of events per second), low latency (seconds), and linear scale ingestion of raw data.&nbsp;
	</li>
</ul>

<h1>Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_490/ingest_data_into_azure_data_explorer.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a cluster
	</li>
	<li>
	Create a database
	</li>
	<li>
	Ingest the sample data
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to use the Azure portal and Synapse Studio to create an Apache Spark pool in a Synapse workspace.
	</li>
	<li>
	Duration:&nbsp;30 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Apache Spark Pool?</h2>

<ul>
	<li>
	Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.&nbsp;
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, and analyze your data. A dedicated SQL pool offers T-SQL based compute and storage capabilities. After creating a dedicated SQL pool in your Synapse workspace, data can be loaded, modeled, processed, and delivered for faster analytic insight.
	</li>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, analyze, and distribute your data.&nbsp;
	</li>
	<li>
	Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big data analytic applications. Apache Spark in Azure Synapse Analytics is one of Microsoft&#39;s implementations of Apache Spark in the cloud.&nbsp;
	</li>
	<li>
	Azure Synapse makes it easy to create and configure a serverless Apache Spark pool in Azure. Spark pools in Azure Synapse are compatible with Azure Storage and Azure Data Lake Generation 2 Storage. So you can use Spark pools to process your data stored in Azure.
	</li>
	<li>
	An Apache Spark pool provides open-source big data compute capabilities. After you&#39;ve created an Apache Spark pool in your Synapse workspace, data can be loaded, modeled, processed, and distributed for faster analytic insight.
	</li>
</ul>

<h1>Architecture Diagram 
<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_471/apache_spark_pool.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Synapse Analytics workspace
	</li>
	<li>
	Create an Apache Spark pool with Azure Portal&nbsp;
	</li>
	<li>
	Create an Apache Spark pool with Synapse Studio
	</li>
</ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps to&nbsp;deploy an Azure Data Factory using an ARM template.</li><li dir="ltr">Duration:&nbsp;30 minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an Azure Data Factory?</h2><ul><li dir="ltr">Azure Data Factory (ADF) is a cloud-based data integration service.</li><li dir="ltr">It allows you to create, schedule, and manage data pipelines.</li><li dir="ltr">These pipelines can move, transform and process data between various data stores, such as relational databases, data lakes, and data warehouses.</li><li dir="ltr">ADF enables you to create data workflows that can be scheduled to run on a schedule or in response to a trigger.</li><li dir="ltr">The service also provides built-in monitoring and logging capabilities, so you can track the status of your pipelines and troubleshoot any issues that arise.</li><li dir="ltr">ADF supports a wide range of data integration scenarios, including data migration, data integration, and data warehousing.</li><li dir="ltr">It can be used to build both simple and complex data integration solutions.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram</h1> <img src="https://labresources.whizlabs.com/916966440aa4f07cb0b25dacfa7f849a/Azure%20Data%20factory_56_34.png" style="height: 450px; margin-left: 0px; margin-top: 0px; width: 800px;"><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployment</li></ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps&nbsp;to&nbsp;create an Azure Event Hub by using ARM templates.</li><li dir="ltr">Duration:&nbsp;30 minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Event Hub?</h2><ul><li dir="ltr">Azure Event Hubs is a Big Data streaming platform and event ingestion service, capable of receiving and processing millions of events per second.</li><li dir="ltr">Event Hubs can process and store events, data, or telemetry produced by distributed software and devices.&nbsp;</li><li dir="ltr">Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters.&nbsp;</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram</h1> <img alt="" src="https://labresources.whizlabs.com/7dcfc0951742d50069af6b4f125041d2/Azure%20Event%20Hub_45_06.png" style="height: 450px; width: 773px;"><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployment</li></ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps to Connect to an Azure SQL server using an Azure Private Endpoint.</li><li dir="ltr">Duration:&nbsp;60 minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Private Endpoint?</h2><ul><li dir="ltr">Network Interface: Azure Private Endpoint is a network interface that allows secure and private access to Azure services.</li><li dir="ltr">Access over private IP: It enables access to Azure services over a private IP address from within a virtual network, eliminating exposure to the public Internet.</li><li dir="ltr">Enhanced Security: The communication between the virtual network and the service is encrypted and remains within the Microsoft network boundary, providing enhanced security compared to public Internet connections.</li><li dir="ltr">Improved Privacy: Azure Private Endpoint provides improved privacy compared to public Internet connections, as all communication remains within the Microsoft network.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure SQL Server?</h2><ul><li dir="ltr">Database Service: Azure SQL Server is a cloud-based relational database service provided by Microsoft Azure.</li><li dir="ltr">Scalability: It provides scalable, highly available, and managed relational database services, allowing you to easily manage and scale your database needs.</li><li dir="ltr">Integration: Azure SQL Server integrates with other Azure services, providing a seamless experience for building, deploying, and managing your applications.</li><li dir="ltr">Security: Azure SQL Server implements security features, such as encryption, authentication, and access control, to help you secure your data and meet compliance requirements.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram</h1><h1 dir="ltr" style="color: rgb(85, 85, 85);"><img src="https://labresources.whizlabs.com/241b34d17c1095f057b921512377987c/image30_06_16_45_06.jpg" width="25%" style="width: 630.2px; height: 366.903px;"> </h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Create a virtual network&nbsp;</li><li dir="ltr">Create a Virtual machine</li><li dir="ltr">Create an Azure SQL server and private endpoint</li><li dir="ltr">Disable public access to Azure SQL logical server</li><li dir="ltr">Test connectivity to private endpoint</li></ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps of deploying Azure Data Share to share data using an Azure Resource Manager template.</li><li dir="ltr">Duration:&nbsp;30 minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Data Share?</h2><ul><li dir="ltr">Azure Data Share is a cloud-based service provided by Microsoft Azure that allows you to securely share data with other Azure users or external users</li><li dir="ltr">Azure Data Share provides secure and compliant sharing of data using Azure services, without the need for manual processes or multiple copies of data.</li><li dir="ltr">Azure Data Share simplifies the process of sharing data with other users by allowing you to set up one or more data shares, invite specific users or groups, and specify which data they can access.</li><li dir="ltr">With Azure Data Share, you can control access to your data at a granular level, specifying the level of access that each user has, as well as the duration of the share.</li><li dir="ltr">Azure Data Share supports sharing data from a wide range of sources, including Azure Blob storage, Azure Data Lake Storage Gen1 and Gen2, Azure SQL Database, and more.</li><li dir="ltr">Azure Data Share provides detailed monitoring and auditing capabilities, allowing you to track who has accessed your data and when, as well as monitoring the overall usage of your data shares.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram</h1><img src="https://labresources.whizlabs.com/178eceb9d00bd808fec75366f983365c/Deploying%20Azure%20Data%20Share%20to%20share%20data%20using%20an%20ARM%20template_18_29.png" style="height: 441px; margin-left: 0px; margin-top: 0px; width: 800px;"><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployments</li></ol>

<h1 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Lab Details</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li>In this lab we will walk through the steps of deploying Azure Data Share to share data using Azure Bicep.</li><li>Duration:&nbsp;30 minutes</li></ol><h1 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Introduction</h1><h2 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">What is Azure Data Share?</h2><ul style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li>Azure Data Share is a cloud-based service provided by Microsoft Azure that allows you to securely share data with other Azure users or external users</li><li>Azure Data Share provides secure and compliant sharing of data using Azure services, without the need for manual processes or multiple copies of data.</li><li>Azure Data Share simplifies the process of sharing data with other users by allowing you to set up one or more data shares, invite specific users or groups, and specify which data they can access.</li><li>With Azure Data Share, you can control access to your data at a granular level, specifying the level of access that each user has, as well as the duration of the share.</li><li>Azure Data Share supports sharing data from a wide range of sources, including Azure Blob storage, Azure Data Lake Storage Gen1 and Gen2, Azure SQL Database, and more.</li><li>Azure Data Share provides detailed monitoring and auditing capabilities, allowing you to track who has accessed your data and when, as well as monitoring the overall usage of your data shares.</li></ul><h2 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">What is Azure Bicep?</h2><ul style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li>Azure Bicep is a Domain Specific Language (DSL) for deploying Azure resources.</li><li>It simplifies the creation and maintenance of infrastructure as code (IaC).</li><li>Bicep uses a simplified syntax compared to Azure Resource Manager (ARM) templates.</li><li>Bicep allows you to create modular templates that can be easily shared and reused.</li><li>Bicep integrates with Azure DevOps, GitHub, and other tools commonly used for infrastructure as code.</li></ul><h1 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Architecture Diagram</h1><img alt="" data-cke-saved-src="https://labresources.whizlabs.com/89550198021380dab21f711d909bfc68/Deploying Azure Data Share to share data using Bicep_54_54.png" src="https://labresources.whizlabs.com/89550198021380dab21f711d909bfc68/Deploying%20Azure%20Data%20Share%20to%20share%20data%20using%20Bicep_54_54.png" style="cursor: default; width: 800px; height: 451px;"><h1 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Task Details</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li>Sign in to Azure Portal</li><li>Explore the Bicep file</li><li>Deploy the Bicep file</li><li>Verify your deployments</li></ol><h1 style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Launching Lab Environment</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li>To launch the lab environment, click on the&nbsp;<img alt="" data-cke-saved-src="https://labresources.whizlabs.com/89550198021380dab21f711d909bfc68/start lab_56_22.png" src="https://labresources.whizlabs.com/89550198021380dab21f711d909bfc68/start%20lab_56_22.png" style="cursor: default; width: 238px; height: 36px;">&nbsp;button.</li><li>Please wait until the cloud environment is provisioned.</li><li>Once the lab is started, you will be provided with a&nbsp;username&nbsp;and&nbsp;password.</li></ol><p dir="ltr" style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; line-height: 1.2; background-color: rgb(238, 238, 238); margin-top: 0pt; margin-bottom: 0pt;">&nbsp;<p dir="ltr" style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; line-height: 1.2; background-color: rgb(238, 238, 238); margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 12pt; font-family: Arial; background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">&nbsp;&nbsp;Note : <span style="font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">You can only start one lab at a time.<p dir="ltr" style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; line-height: 1.2; background-color: rgb(238, 238, 238); margin-top: 0pt; margin-bottom: 0pt;">&nbsp;

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks we will walk through the steps to configure a new Azure IoT Hub and then authenticate a connection to an IoT device using the online Raspberry Pi device simulator. Sensor data and messages are passed from the Raspberry Pi simulator to your Azure IoT Hub, and you view metrics for the messaging activity in Azure Portal.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure IoT Hub?</h2>

<ul>
	<li>
	IoT Hub is a managed service hosted in the cloud that acts as a central message hub for communications in both directions between an IoT application and its attached devices.
	</li>
	<li>
	It allows you to connect millions of devices and their backend solutions reliably and securely. Almost any device can be connected to an IoT Hub.
	</li>
	<li>
	Azure IoT Hub supports several messaging patterns, including device-to-cloud telemetry, uploading files from devices, and request-reply methods to control your devices from the cloud.
	</li>
	<li>
	It also supports monitoring to help you track creating devices, connecting devices, and device failures.
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create an IoT Hub
	</li>
	<li>
	Add Raspberry Pi as our IoT Device
	</li>
	<li>
	Test the device using a Raspberry Pi Simulator
	</li>
</ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps to create an Azure Database for MySQL server using an ARM template.</li><li dir="ltr">Duration:&nbsp;30&nbsp;minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Database for MySQL?</h2><ul><li dir="ltr">Azure Database for MySQL is a fully managed relational database service that provides scalable and high-performance database capabilities for applications hosted on Microsoft Azure.&nbsp;</li><li dir="ltr">The single server platform is designed to handle most of the database management functions such as patching, backups, high availability, security with minimal user configuration and control.&nbsp;</li><li dir="ltr">The architecture is optimized for built-in high availability with 99.99% availability in a single availability zone. It supports the community version of MySQL 5.6 (retired), 5.7 and 8.0. The service is generally available today in a wide variety of Azure regions.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram <img src="https://labresources.whizlabs.com/61704542bd3e0d0542ea9cb62856be17/mysql%20server_43_39.png" style="height: 466px; margin-left: 0px; margin-top: 0px; width: 800px;"></h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployment</li></ol>

<h1 style="color: rgb(85, 85, 85);">&nbsp;Lab Details</h1><ol><li>In this lab we will&nbsp;learn how to deploy a single database using Terraform.</li><li>Duration:&nbsp;30&nbsp;minutes.</li></ol><h1 style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an Azure SQL Database?</h2><ul><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Fully Managed Service: Azure SQL Database is a fully managed platform-as-a-service (PaaS) offering, which means Microsoft handles the infrastructure management, including patching, backups, and high availability, allowing you to focus on developing your applications.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Compatibility: Azure SQL Database is based on Microsoft SQL Server, ensuring compatibility with existing SQL Server applications, tools, and skills. It supports the same T-SQL language and offers similar functionalities.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Scalability: Azure SQL Database provides flexible scalability options. You can easily scale up or down the database resources to match your application's needs. It allows you to adjust compute power, storage, and performance levels on the fly without downtime.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">High Availability and Reliability: Azure SQL Database offers built-in high availability and fault tolerance features. It automatically replicates your database to multiple Azure regions, ensuring data redundancy and minimizing downtime.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Security: Azure SQL Database provides robust security features to protect your data. It includes encryption at rest and in transit, built-in threat detection, firewall rules, role-based access control, and advanced data security capabilities.</li><li dir="ltr" aria-level="1" style="list-style-type: disc; font-size: 12pt; font-family: Arial; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre;">Intelligent Performance: Azure SQL Database leverages intelligent query processing capabilities, such as automatic indexing, query optimization, and performance recommendations. It helps improve query performance and overall database efficiency.</li></ul><h2 style="color: rgb(85, 85, 85);">What is Terraform?</h2><ul><li>Terraform is an open-source infrastructure as code (IC) software tool created by HashiCorp.</li><li>It allows users to define, provision, and manage infrastructure resources (such as virtual machines, storage accounts, and network interfaces) in a cloud environment through code.</li><li>Terraform uses a declarative language to describe the desired state of the infrastructure and automatically creates the necessary resources to achieve that state.</li><li>It supports multiple cloud providers (such as AWS, Azure, and Google Cloud Platform) and other infrastructure platforms (such as Kubernetes and OpenStack).</li><li>Terraform follows a plan and apply workflow that allows users to preview changes before applying them to the infrastructure, helping to prevent misconfigurations and unexpected downtime.</li><li>Terraform keeps track of the current state of the infrastructure, allowing users to easily update, destroy, or recreate resources as needed.</li><li>Terraform modules enable users to create reusable blocks of infrastructure code that can be shared across projects or teams.</li><li>Terraform can be used in a team environment, allowing multiple users to work on the same infrastructure codebase concurrently and providing version control for infrastructure changes.</li><li>Terraform is widely used by DevOps engineers, infrastructure teams, and developers to automate infrastructure provisioning and configuration, reduce human error, and increase productivity.</li></ul><h1 style="color: rgb(85, 85, 85);">Architecture Diagram</h1> &nbsp;<img src="https://labresources.whizlabs.com/143fb25f342696998ec19090bad8d94c/sql_database_20_55.png" width="25%" style="width: 639.057px; height: 376.35px;"><h1 style="color: rgb(85, 85, 85);">Task Details</h1><ol><li>Sign in to Azure Portal</li><li>Explore the Terraform code</li><li>Deploy the Terraform code</li><li>Verify your deployment</li></ol><h1 style="color: rgb(85, 85, 85);">Launching Lab Environment</h1><ol><li>To launch the lab environment, click on the&nbsp;<img alt="" src="https://labresources.whizlabs.com/9bef332814dd1bb1a7c86df2106a69b4/image15_29_47.png" style="height: 36px; width: 237px;">&nbsp;button.</li><li>Please wait until the cloud environment is provisioned.</li><li>Once the lab is started, you will be provided with a&nbsp;username&nbsp;and&nbsp;password.</li></ol>&nbsp;&nbsp;&nbsp; Note&nbsp;: You can only start one lab at a time.

<h1>Prerequisites</h1>

<ol>
	<li>
	Good knowledge of Azure services

	<ul>
		<li>
		Azure Synapse Analytics
		</li>
		<li>
		Synapse Studio
		</li>
		<li>
		Apache Spark
		</li>
	</ul>
	</li>
	<li>
	Laptop
	</li>
	<li>
	Internet Browser
	</li>
	<li>
	Internet Connection
	</li>
</ol>

<h1>Challenge Instructions</h1>

<ol>
	<li>
	Region: Make sure to use the&nbsp;East US&nbsp;region to create all the resources.
	</li>
	<li>
	You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.
	</li>
	<li>
	Challenge Duration:&nbsp;45&nbsp;minutes.
	</li>
</ol>

<h1>Launching Challenge&nbsp;Environment</h1>

<ol>
	<li>
	To launch the challenge environment, click on the&nbsp;<img src="https://play.whizlabs.com/frontend/web/media/task_id_421/start.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned.
	</li>
	<li>
	Once the challenge&nbsp;creation process is completed, you will provided a&nbsp;username&nbsp;and&nbsp;password.
	</li>
</ol>

<h1>Prerequisites</h1>

<ol>
	<li>
	Good knowledge of Azure services

	<ul>
		<li>
		Azure Synapse Analytics
		</li>
		<li>
		Synapse Studio
		</li>
		<li>
		Notebooks
		</li>
	</ul>
	</li>
	<li>
	Laptop
	</li>
	<li>
	Internet Browser
	</li>
	<li>
	Internet Connection
	</li>
</ol>

<h1>Challenge Instructions</h1>

<ol>
	<li>
	Region: Make sure to use the&nbsp;East US&nbsp;region to create all the resources.
	</li>
	<li>
	You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.
	</li>
	<li>
	Challenge Duration:&nbsp;45&nbsp;minutes.
	</li>
</ol>

<h1>Launching Challenge&nbsp;Environment</h1>

<ol>
	<li>
	To launch the challenge environment, click on the&nbsp;<img src="https://play.whizlabs.com/frontend/web/media/task_id_421/start.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned.
	</li>
	<li>
	Once the challenge&nbsp;creation process is completed, you will provided a&nbsp;username&nbsp;and&nbsp;password.
	</li>
</ol>

<h1>Prerequisites</h1>

<ol>
	<li>
	Good knowledge of Azure services

	<ul>
		<li>
		Azure Data Explorer
		</li>
		<li>
		Basic Queries
		</li>
	</ul>
	</li>
	<li>
	Laptop
	</li>
	<li>
	Internet Browser
	</li>
	<li>
	Internet Connection
	</li>
</ol>

<h1>Challenge Instructions</h1>

<ol>
	<li>
	Region: Make sure to use the&nbsp;East US&nbsp;region to create all the resources.
	</li>
	<li>
	You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.
	</li>
	<li>
	Challenge Duration:&nbsp;45&nbsp;minutes.
	</li>
</ol>

<h1>Launching Challenge&nbsp;Environment</h1>

<ol>
	<li>
	To launch the challenge environment, click on the&nbsp;<img src="https://play.whizlabs.com/frontend/web/media/task_id_421/start.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned.
	</li>
	<li>
	Once the challenge&nbsp;creation process is completed, you will provided a&nbsp;username&nbsp;and&nbsp;password.
	</li>
</ol>

<h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Prerequisites</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Knowledge of the listed Azure services:</li></ol><ul style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; margin-left: 40px;"><li dir="ltr">Azure App Service</li><li dir="ltr">Azure Front Door</li><li dir="ltr">Azure Web Application Firewall</li></ul><ol start="2" style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Challenge Instructions</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Region: Make sure to use the&nbsp;<kbd>East US</kbd>,&nbsp;<kbd>West US</kbd>&nbsp;and&nbsp;<kbd>Central US</kbd>&nbsp;region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.</li><li dir="ltr">Challenge Duration:&nbsp;<kbd>120 minutes</kbd></li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Launching Challenge&nbsp;Environment</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">To launch the challenge environment, click on the&nbsp;<img data-cke-saved-src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" style="cursor: default; height: 36px; margin-left: 0px; margin-top: 0px; width: 237px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at any given time.</div>

<h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Prerequisites</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Knowledge of the listed Azure services:<ul style="padding: 0px 40px; list-style-type: disc;"><li dir="ltr">Data Share account</li><li dir="ltr">Storage account-databases</li></ul></li><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Challenge Instructions</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Region: Make sure to use the&nbsp;<kbd>East US&nbsp;</kbd>region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.</li><li dir="ltr">Challenge Duration:&nbsp;<kbd>45 minutes</kbd></li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Launching Challenge&nbsp;Environment</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">To launch the challenge environment, click on the&nbsp;<img data-cke-saved-src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" style="cursor: default; height: 36px; margin-left: 0px; margin-top: 0px; width: 237px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at any given time.</div>

<h1 dir="ltr" style="line-height: 1.2; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Prerequisites</h1><ol style="padding: 0px 40px; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Knowledge of the listed Azure services:<ul style="padding: 0px 40px; list-style-type: disc;"><li dir="ltr">Azure SQL Server</li><li dir="ltr">Azure Private endpoint</li></ul></li><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="line-height: 1.2; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Challenge Instructions</h1><ol style="padding: 0px 40px; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Region: Make sure to use the&nbsp;&nbsp;<kbd>East US</kbd>&nbsp;region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge. If you are new to Azure Cloud, we recommend you to go through our hands-on Labs before taking this challenge.</li><li dir="ltr">Challenge Duration:&nbsp;&nbsp;<kbd>90 minutes</kbd></li></ol><h1 dir="ltr" style="line-height: 1.2; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Launching Challenge&nbsp;Environment</h1><ol style="padding: 0px 40px; font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">To launch the challenge environment, click on the&nbsp;<img data-cke-saved-src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" style="cursor: default; height: 36px; margin-left: 0px; margin-top: 0px; width: 237px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at any given time.</div>

<h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Prerequisites</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Knowledge of the listed Azure services:<ul style="padding: 0px 40px; list-style-type: disc;"><li dir="ltr">Storage account</li><li dir="ltr">Virtual Machine</li><li dir="ltr">Azure File Share</li><li dir="ltr">Azure Storage Sync Service</li></ul></li><li dir="ltr">Knowledge of IPv4 addressing</li><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Challenge Instructions</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">Region: Make sure to use the&nbsp;&nbsp;<kbd>East US</kbd>&nbsp;region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge. If you are new to Azure cloud, we recommend you to go through our hands-on Labs before taking this challenge.&nbsp;If you couldn't complete this challenge successfully, you can try performing this&nbsp;<a data-cke-saved-href="https://www.whizlabs.com/labs/azure-file-sync" href="https://www.whizlabs.com/labs/azure-file-sync" style="color: rgb(7, 130, 193);">guided lab</a>&nbsp;then try again.</li><li dir="ltr">Challenge Duration:&nbsp;<kbd>180 minutes</kbd></li></ol><h1 dir="ltr" style="line-height: 1.2; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;;">Launching Challenge&nbsp;Environment</h1><ol style="padding: 0px 40px; color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px;"><li dir="ltr">To launch the challenge environment, click on the&nbsp;<img data-cke-saved-src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" src="https://labresources.whizlabs.com/bea1b9be9684ae19077b904cf09c9d70/start.png" style="cursor: default; height: 36px; margin-left: 0px; margin-top: 0px; width: 237px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="color: rgb(51, 51, 51); font-family: sans-serif, Arial, Verdana, &quot;Trebuchet MS&quot;; font-size: 13px; background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at any given time.</div>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Prerequisites</h1><ol><li dir="ltr">Knowledge of the listed Azure services:<ul style="list-style-type: disc;"><li>Azure IoT Hub</li></ul></li></ol><ol start="2"><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Challenge Instructions</h1><ol><li dir="ltr">Region: Make sure to use the&nbsp;East US&nbsp;region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge.</li><li dir="ltr">Challenge Duration:&nbsp;60&nbsp;minutes</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Launching Challenge&nbsp;Environment</h1><ol><li dir="ltr">To launch the challenge environment, click on the&nbsp;Start Challenge&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at any given time.</div>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Prerequisites</h1><ol><li dir="ltr">Knowledge of the listed Azure services:<ul><li dir="ltr">Azure Data Factory</li><li dir="ltr">Azure Resource Manager Template</li></ul></li><li dir="ltr">Laptop</li><li dir="ltr">Internet Browser</li><li dir="ltr">Internet Connection</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Challenge Instructions</h1><ol><li dir="ltr">Region: Make sure to use the&nbsp;East US&nbsp;region to create all the resources.</li><li dir="ltr">You will be provided with the requirements of the challenge. If you are new to Azure Cloud, we recommend you to go through our hands-on Labs before taking this challenge. If you couldn't complete this challenge successfully, you can try performing this&nbsp;<a href="https://www.whizlabs.com/labs/create-an-azure-data-factory-using-arm-template">guided lab</a>&nbsp;then try again.</li><li dir="ltr">Challenge Duration:&nbsp;30 minutes</li></ol>Launching Challenge&nbsp;Environment<ol><li dir="ltr">To launch the challenge environment, click on the&nbsp;Start Challenge&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned.</li><li dir="ltr">Once the challenge&nbsp;creation process is completed, you will be provided a&nbsp;username&nbsp;and&nbsp;password.</li></ol><div style="background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one challenge at a time.</div>

<ul>
<li style="color: #000000;">This comprehensive training program for DP-203 exam is designed to equip you with the essential skills and knowledge required to excel in data engineering using Microsoft Azure services.&nbsp; </li>
<li style="color: #000000;">The DP-203 exam tests candidates on designing and implementing data storage solutions, orchestrating data workflows, optimizing performance, and securing data solutions using Microsoft Azure services. It assesses proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Event Hubs and other related technologies. </li>
<li style="color: #000000;">Successfully completing the DP-203 exam in Data Engineering on Microsoft Azure qualifies candidates to earn the Microsoft Certified: Azure Data Engineer Associate certification. </li>
<li style="color: #000000;">Become an Azure Data Engineer Expert and confidently pass the DP-203 certification exam in one go! </li>
<li style="color: #000000;">This exam was retired on March 31, 2025&nbsp;and there is no direct replacement. Please refer to the new&nbsp;Microsoft Fabric Certifications &nbsp; &nbsp; [<a style="color: #000000;" href="https://www.whizlabs.com/dp-700-microsoft-certified-fabric-data-engineer-associate/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://www.whizlabs.com/dp-700-microsoft-certified-fabric-data-engineer-associate/&amp;source=gmail&amp;ust=1744167951946000&amp;usg=AOvVaw2osmtHG4MtehRg-E4QlgQ8">DP-700</a>&nbsp;and&nbsp;<a style="color: #000000;" href="https://www.whizlabs.com/dp-600-implementing-analytics-solutions-using-microsoft-fabric/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://www.whizlabs.com/dp-600-implementing-analytics-solutions-using-microsoft-fabric/&amp;source=gmail&amp;ust=1744167951946000&amp;usg=AOvVaw1iweYdTN83glemxHXMtIre">DP-600</a>].&nbsp; This page will be regularly updated to reflect the latest information from Microsoft.</li>
</ul>

<h2>Lab Details</h2>

<ul>
	<li>In this Lab walkthrough, you will create a storage account and know about the interesting things that are required to know while creating a storage account</li>
	<li>Duration: 30 Minutes</li>
</ul>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to copy a sample machine learning notebook from the Synapse Analytics gallery into your workspace, modify it, and run it.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Synapse Analytics?</h2>

<ul>
	<li>
	Azure Synapse Analytics offers various analytics engines to help you ingest, transform, model, and analyze your data. A dedicated SQL pool offers T-SQL based compute and storage capabilities. After creating a dedicated SQL pool in your Synapse workspace, data can be loaded, modeled, processed, and delivered for faster analytic insight.
	</li>
	<li>
	Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.&nbsp;
	</li>
	<li>
	Azure Synapse brings together the best of SQL technologies used in enterprise data warehousing, Spark technologies used for big data, Data Explorer for log and time series analytics, Pipelines for data integration and ETL/ELT, and deep integration with other Azure services such as Power BI, CosmosDB, and AzureML.
	</li>
	<li>
	Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated resources&mdash;at scale.
	</li>
</ul>

<h2>What is Machine Learning?</h2>

<ul>
	<li>
	Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
	</li>
	<li>
	Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today&#39;s leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.
	</li>
</ul>

<h1>Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_481/copy_sample_ml_notebook.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Synapse Analytics workspace
	</li>
	<li>
	Create an Apache Spark pool with Azure Portal&nbsp;
	</li>
	<li>
	Copy the notebook to workspace
	</li>
	<li>
	Run the notebook
	</li>
	<li>
	Make a copy of the notebook
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab we will go through various database services like CosmosDB, MySQL and PostgreSQL provided by Azure and also dive deeper into each of these services.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Database Service?</h2>

<ul>
	<li>
	Azure Database Services ensures that customer databases are protected and monitored by establishing backup and recovery procedures, providing a secure database environment, and monitoring database performance.
	</li>
	<li>
	Today&#39;s applications are required to be highly responsive and always online. Applications need to respond in real time to large changes, store ever increasing volumes of data, and make this data available to users in milliseconds.
	</li>
	<li>
	Azure Cosmos DB is a fully managed NoSQL database for modern app development. As a fully managed service, it takes database administration off your hands with automatic management, updates and patching.
	</li>
	<li>
	Azure Database for MySQL is a relational database service powered by the MySQL community edition. It&#39;s a fully managed database as a service offering that can handle mission-critical workloads with predictable performance and dynamic scalability.
	</li>
	<li>
	Azure Database for PostgreSQL is a relational database service based on the open-source Postgres database engine.&nbsp;
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a CosmosDB account with SQL
	</li>
	<li>
	Create Azure Database for MySQL
	</li>
	<li>
	Create Azure Database for PostgreSQL
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks we will walk through the steps to deploy SQL server and create SQL database containing sample data.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure SQL Database?</h2>

<ul>
	<li>
	Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.
	</li>
	<li>
	Azure SQL Database is always running on the latest stable version of the SQL Server database engine and patched OS with 99.99% availability.
	</li>
	<li>
	PaaS capabilities that are built into Azure SQL Database enable you to focus on the domain-specific database administration and optimization activities that are critical for your business.
	</li>
	<li>
	With Azure SQL Database, you can create a highly available and high-performance data storage layer for the applications and solutions in Azure.
	</li>
	<li>
	SQL Database can be the right choice for a variety of modern cloud applications because it enables you to process both relational data and non-relational structures, such as graphs, JSON, spatial, and XML.
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Azure SQL Database
	</li>
	<li>
	Create a server-level IP firewall rule
	</li>
	<li>
	Connect to the database
	</li>
	<li>
	Create tables in the database
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will walk through the steps to move data using the data factory.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Data Factory?</h2>

<ul>
	<li>
	Big data requires a service that can orchestrate and operationalize processes to refine these enormous stores of raw data into actionable business insights. Azure Data Factory is a managed cloud service that&#39;s built for these complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects.
	</li>
	<li>
	Azure Data Factory is a Microsoft cloud service offered by the Azure platform that allows data integration from many different sources. Azure Data Factory is a perfect solution when in need of building hybrid extract-transform-load (ETL), extract-load-transform (ELT) and data integration pipelines.
	</li>
	<li>
	Azure Data Factory is Azure&#39;s cloud ETL service for scale-out serverless data integration and data transformation.&nbsp;
	</li>
	<li>
	It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management.&nbsp;
	</li>
	<li>
	You can also lift and shift existing SSIS packages to Azure and run them with full compatibility in ADF. SSIS Integration Runtime offers a fully managed service, so you don&#39;t have to worry about infrastructure management.
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create Storage Accounts
	</li>
	<li>
	Create Containers
	</li>
	<li>
	Upload a Blob object
	</li>
	<li>
	Create a Data Factory
	</li>
	<li>
	Create a Pipeline
	</li>
	<li>
	Move Data
	</li>
</ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab we will walk through the steps&nbsp;to&nbsp;create an&nbsp;Azure Cosmos DB account in two regions with options for consistency and failover, with database and container configured for standard throughput with many indexing policy options configured.&nbsp;</li><li dir="ltr">Duration:&nbsp;30 minutes.</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Cosmos DB?</h2><ul><li dir="ltr">Azure Cosmos DB is a fully managed NoSQL and relational database for modern app development.</li><li dir="ltr">Azure Cosmos DB offers single-digit millisecond response times, automatic and instant scalability, along with guarantee speed at any scale.&nbsp;</li><li dir="ltr">Cosmos DB is a database service that is globally distributed. It allows you to manage your data even if you keep them in data centers that are scattered throughout the world.&nbsp;</li><li dir="ltr">It provides the tools you need to scale both global distribution pattern and computational resources, and these tools are provided by Microsoft Azure.</li><li dir="ltr">It is different from the traditional relational database where we have a table, and the table will have a fixed number of columns, and each row in the table should adhere to the scheme of the table. In the NoSQL database, you don't define any schema at all for the table, and each item or row within the table can have different values, or different schema itself.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is an ARM template?</h2><ul><li dir="ltr">An ARM template is a JSON file that defines one or more resources to be deployed to Azure.</li><li dir="ltr">ARM templates use a declarative syntax, meaning you define the desired end state of your resources rather than the specific steps required to create them.</li><li dir="ltr">ARM templates can be used to deploy a wide variety of Azure resources, including virtual machines, storage accounts, virtual networks, and more.</li><li dir="ltr">They can also be used to deploy resources from the Azure Marketplace, such as SaaS applications and IaaS offerings.</li><li dir="ltr">ARM templates are an important part of the Azure DevOps process, as they can be used to automate the deployment of resources as part of a CI/CD pipeline.</li><li dir="ltr">They can be used in conjunction with Azure Automation to automate the deployment and management of resources on a scheduled basis.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram</h1> <img src="https://labresources.whizlabs.com/cd950fb4d23b5334416fe05f5a0c9c44/adstyu_12_07.png" style="height: 450px; margin-left: 0px; margin-top: 0px; width: 800px;"><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Explore the ARM template</li><li dir="ltr">Deploy the ARM template</li><li dir="ltr">Verify your deployment</li></ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">In this lab, you will learn how to create an Azure Cosmos DB for PostgreSQL cluster and connect to your cluster in the Azure portal.</li><li dir="ltr">Duration:&nbsp;90 minutes</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is Azure Cosmos DB?</h2><ul><li dir="ltr">Azure Cosmos DB is a fully managed NoSQL and relational database for modern app development.</li><li dir="ltr">Azure Cosmos DB offers single-digit millisecond response times, automatic and instant scalability, along with guarantee speed at any scale.&nbsp;</li><li dir="ltr">Cosmos DB is a database service that is globally distributed. It allows you to manage your data even if you keep them in data centers that are scattered throughout the world.&nbsp;</li><li dir="ltr">It provides the tools you need to scale both global distribution pattern and computational resources, and these tools are provided by Microsoft Azure.</li><li dir="ltr">It is different from the traditional relational database where we have a table, and the table will have a fixed number of columns, and each row in the table should adhere to the scheme of the table. In the NoSQL database, you don't define any schema at all for the table, and each item or row within the table can have different values, or different schema itself.</li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85);">What is PostgreSQL?</h2><ul><li dir="ltr">PostgreSQL is a free and open-source relational database management system (RDBMS)</li><li dir="ltr">It emphasizes extensibility and SQL compliance</li><li dir="ltr">Known for its reliability, robust feature set, and high performance</li><li dir="ltr">Often used for web and mobile applications, data warehousing, and data analytics.</li></ul><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Launching Lab Environment</li><li dir="ltr">Create a cluster</li><li dir="ltr">Connect to your cluster</li><li dir="ltr">Create and distribute tables</li><li dir="ltr">Load data into distributed tables</li><li dir="ltr">Run queries</li></ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to implement SQL Database security features.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure SQL Database?</h2>

<ul>
	<li>
	Azure SQL Database is a relational database-as-a-service (DBaaS) hosted in Azure that falls into the industry category of Platform-as-a-Service (PaaS).
	</li>
	<li>
	Azure SQL Database is a general-purpose relational database service in Azure that supports structures such as relational data, JSON, spatial, and XML.&nbsp;
	</li>
	<li>
	It handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.&nbsp;
	</li>
	<li>
	Azure SQL Database is always running on the latest stable version of the SQL Server database engine and patched OS with 99.99% availability.&nbsp;
	</li>
	<li>
	PaaS capabilities built into Azure SQL Database enable you to focus on the domain-specific database administration and optimization activities that are critical for your business.
	</li>
	<li>
	SQL Database supports both server-side encryption via the Transparent Data Encryption (TDE) feature and client-side encryption via the Always Encrypted feature.
	</li>
</ul>

<h1>Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_11021/securing_azure_sql_database.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Deploy an Azure SQL Database
	</li>
	<li>
	Configure Advanced Data Protection
	</li>
	<li>
	Configure Data Classification
	</li>
	<li>
	Configure Auditing
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will develop a Stream Analytics query that analyzes Internet of Things (IoT) sensor data to identify if there have been any IoT device failures.
	</li>
	<li>
	Duration:&nbsp;30 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Stream Analytics ?</h2>

<ul>
	<li>
	Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.
	</li>
	<li>
	Patterns and relationships can be identified in information extracted from a number of input sources including devices, sensors, clickstreams, social media feeds, and applications. These patterns can be used to trigger actions and initiate workflows such as creating alerts, feeding information to a reporting tool, or storing transformed data for later use.
	</li>
	<li>
	Stream Analytics is available on Azure IoT Edge runtime, enabling it to process data on IoT devices.
	</li>
	<li>
	The following scenarios are examples of when you can use Azure Stream Analytics:
	</li>
</ul>

<ul>
	<li>
	Analyze real-time telemetry streams from IoT devices
	</li>
	<li>
	Web logs/clickstream analytics
	</li>
	<li>
	Geospatial analytics for fleet management and driverless vehicles
	</li>
	<li>
	Remote monitoring and predictive maintenance of high value assets
	</li>
	<li>
	Real-time analytics on Point of Sale data for inventory control and anomaly detection
	</li>
</ul>

<h1>Architecture Diagram 
<img src="https://play.whizlabs.com/frontend/web/media/task_id_447/analyzing_iot_data_using_azure_stream_analytics.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Stream Analytics Job
	</li>
	<li>
	Configure a Stream Analytics Job to Query for IoT Data
	</li>
	<li>
	Execute the Stream Analytics IoT Query
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will connect sending and receiving applications with Event Hubs so you can handle extremely high loads without losing data.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Event Hub?</h2>

<ul>
	<li>
	Azure Event Hubs is a big data streaming platform and event ingestion service. It can receive and process millions of events per second.&nbsp;
	</li>
	<li>
	Data sent to an event hub can be transformed and stored by using any real-time analytics provider or batching/storage adapters.
	</li>
	<li>
	Data is valuable only when there&#39;s an easy way to process and get timely insights from data sources. Event Hubs provides a distributed stream processing platform with low latency and seamless integration, with data and analytics services inside and outside Azure to build your complete big data pipeline.
	</li>
	<li>
	Event Hubs represents the &quot;front door&quot; for an event pipeline, often called an event ingestor in solution architectures. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events. Event Hubs provides a unified streaming platform with a time retention buffer, decoupling event producers from event consumers.
	</li>
</ul>

<h1>Architecture Diagram 
<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_411/implementing_azure_event_hub.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create Event Hubs Namespace
	</li>
	<li>
	Create a Storage account
	</li>
	<li>
	Create a Container
	</li>
	<li>
	Create new Event Hub
	</li>
	<li>
	Collect data to be able to send events into event hubs
	</li>
	<li>
	Send events to Event Hub
	</li>
	<li>
	Review the events
	</li>
</ol>

DP-203: Data Engineering on Microsoft Azure

DP-203 Cloud Sandbox is a real time Azure environment. This sandbox provisioned with the Azure services that are required to pass the DP 203 certification exam. This is unlimited access to practice, test and experiment your ideas to prepare for data engineering on Microsoft Azure exam.
If you find any services that are not supported in our Sandbox, please send a e-mail to&nbsp;<a href="mailto:support@whizlabs.com">support@whizlabs.com</a>.&nbsp;

In this Microsoft Azure Data Engineer (DP-203) practice test, you will get unlimited access to 4 practice tests with 240 unique questions in each test. These practice tests are designed by our Microsoft Certified expert team to ensure that you get familiarity with the actual exam format.

Practice Tests

Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs Microsoft Azure DP-203 Practice Tests.

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In this Microsoft Azure Data Engineer (DP-203) video course, you will get a total of 44 exhaustive lectures that cover the entire exam objectives. Also regularly revisit lectures to brush up your knowledge and hands-on demo videos to reinforce your knowledge.

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Millions of aspirants have become certified with our Online Course. Give your preparation a new edge with Whizlabs Microsoft Azure DP-203 Online Course.

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Preparing for Microsoft Azure Exam DP-203 certification exam? Check your current preparation level with Microsoft Azure Exam DP-201 free test. Try now!

Microsoft Azure Exam DP-203 Free Test - Whizlabs

Exam DP-203: Data Engineering on Microsoft Azure Certification - Retired

We offer updated practice tests, video courses, and Hands-on Labs to help you pass DP-203 Certification Data Engineering on Microsoft Azure Exam.

This comprehensive training program for DP-203 exam is designed to equip you with the essential skills and knowledge required to excel in data engineering using Microsoft Azure services.&nbsp;
The DP-203 exam tests candidates on designing and implementing data storage solutions, orchestrating data workflows, optimizing performance, and securing data solutions using Microsoft Azure services. It assesses proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Event Hubs and other related technologies.
Successfully completing the DP-203 exam in Data Engineering on Microsoft Azure qualifies candidates to earn the Microsoft Certified: Azure Data Engineer Associate certification.
Become an Azure Data Engineer Expert and confidently pass the DP-203 certification exam in one go!

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RAMIRO mejia pesantes

This course really helped me to pass my certification and review additional material.

Good study material

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I recently completed the GCP Associate Cloud Engineer, Microsoft Azure 204, and Microsoft Azure DP-203 Labs courses from Whizlabs, and they were very helpful. GCP Associate Cloud Engineer – The course gave a clear understanding of Google Cloud with good examples and hands-on practice. Microsoft Azure 204 – It covered Azure services well and helped me understand how to use them in real situations. Microsoft Azure DP-203 Labs – The labs were very useful for practicing data engineering tasks in Azure. They matched the exam topics and helped improve my skills. Overall, the courses were well-organized and easy to follow. I’d recommend them to anyone preparing for cloud certifications or wanting to improve their cloud skills.

Cloud courses : Good coverage of the topics

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I am learning whizlab courses since 2019 and its very helpful. I have gone through the free test of DP-203 and its very useful

I am learning whizlab courses since 2019 and its very helpful .I have gone through the free test of DP-203 and its very useful

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All AWS and azure certifications are best in industry standards delivered by whizlabs. Highly recommended to all learners to use the platform

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Francisco Javier Luna Toledano

This course really helped to pass my exam, the content was very relevant and the test questions were really great.

Helped to pass my exam

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I used Whizlabs to prepare for my DP-203 exam. Best resources and Practice exams are their key highlights which will test your understanding across all the important topics.

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it was helpful, I learned a lot from it., noting that I only purchased the tests.

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Well structured content and wide variety of questions for exam preparation. Highly recommended for beginners.

Great prep materials for exam

Lots of questions and helpful responses. I have purchased the DP-203 course and I would recommend it to anyone.