<h1>Lab Details</h1>

<ol>
	<li>
	In this lab we will go through various steps to create Azure Blob storage and store files in it.
	</li>
	<li>
	Duration:&nbsp;30 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Blob Storage?</h2>

<ul>
	<li>
	Azure Storage is the Azure platform&#39;s managed service for providing cloud storage. Azure Storage is composed of several core services and supporting features. It is highly available, secure, durable, scalable, and redundant.&nbsp;
	</li>
	<li>
	The word &lsquo;Blob&rsquo; expands to a Binary Large Object. Blobs include images, text files, videos and audios.
	</li>
	<li>
	Azure Blob storage is Microsoft&#39;s object storage solution for the cloud and it is optimized for storing massive amounts of unstructured data.&nbsp;
	</li>
	<li>
	Unstructured data is data that doesn&#39;t adhere to a particular data model or definition, such as text or binary data.
	</li>
	<li>
	With Azure Blob Storage, the files (photos, videos, training documents, etc.), which are known as blobs, are put in containers which function similar to directories. These are then linked to the storage account.&nbsp;
	</li>
	<li>
	One of the big advantages for businesses is that Azure Blob storage allows them to collect all of their content assets in one place. These will then be available all across their different departments and internationally. The speed, scalability, ease of access, and security make such cloud storage very attractive for all mid-sized and large organizations.
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Storage Account
	</li>
	<li>
	Create a Container
	</li>
	<li>
	Upload a Blob object
	</li>
	<li>
	Change access level
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, we will go through the steps to create immutable blob feature which is available with Azure Storage Accounts&nbsp;
	</li>
	<li>
	Duration:&nbsp;45&nbsp;Minutes
	</li>
</ol>

<h1>Introduction</h1>

<ul>
	<li>
	An Azure storage account contains all of your Azure Storage data objects: blobs, files, queues, and tables.
	</li>
</ul>

<ul>
	<li>
	Blob access tiers enable you to store blob data in the most cost-effective manner, based on usage.
	</li>
	<li>
	Immutable storage for Azure Blob Storage enables users to store business-critical data in a WORM (Write Once, Read Many) state. While in a WORM state, data cannot be modified or deleted for a user-specified interval. By configuring immutability policies for blob data, you can protect your data from overwrites and deletes. Immutability policies include time-based retention policies and legal holds.&nbsp;
	</li>
</ul>

<h1>Architecture Diagram</h1>

<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_418/creating_immutable_blob_storage.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Launch Lab Environment
	</li>
	<li>
	Create a storage account.
	</li>
	<li>
	Create a container in the storage account.
	</li>
	<li>
	Upload a Sample text file in the container.
	</li>
	<li>
	At the container level, add a policy for&nbsp;Immutable blob storage.
	</li>
	<li>
	Now, go to the sample file and try to edit the text in the sample file and verify the user is not able to make changes in the file.
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab we will get to know about what are the different access tiers in Azure Blob storage and how to work with them.&nbsp;
	</li>
	<li>
	Duration:&nbsp;30 minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Blob Storage Tiers ?</h2>

<ul>
	<li>
	Azure Storage is the Azure platform&#39;s managed service for providing cloud storage. Azure Storage is composed of several core services and supporting features. It is highly available, secure, durable, scalable, and redundant.&nbsp;
	</li>
	<li>
	Azure offers three storage tiers to store data in blob storage: Hot Access tier, Cool Access tier, and Archive tier. These tiers target data at different stages of its lifecycle and offer cost-effective storage options for different use cases.
	</li>
	<li>
	Hot access tier :This tier should be used for the data frequently accessed by applications, and that is read or written very often. The data storage costs for this tier are higher than other tiers, but access charges are lower, thus suiting the target use case.
	</li>
	<li>
	Cool access tier: This storage tier is suitable for data that is not accessed frequently by applications and is expected to be stored for a minimum of 30 days; for example, for short term storage of backup, telemetry data, media files, etc. The cost of using the cool access tier is lower than using the hot tier, however access costs and availability are not the same.&nbsp;
	</li>
	<li>
	Archive tier : As the name indicates, this tier is intended to be used to store rarely accessed or archival data. Its storage rate is the cheapest on Azure, but the data retrieval charges are the highest. This tier is intended as Azure archive storage for data that is expected to be stored for a minimum of 180 days and that can tolerate a larger retrieval window. The Archive tier is useful storage for large amounts of inactive data, such as data required to be stored for compliance purpose, long-term backup, archived datasets, etc.
	</li>
	<li>
	These three data tiers are supported in General Purpose storage V2 and Blob storage accounts.&nbsp;
	</li>
</ul>

<h1>Task Details</h1>

<ol>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Create a Storage Account (Cool Tier)
	</li>
	<li>
	Create a Storage Account (Hot Tier)
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	In this lab, you will learn how to create an Azure Cosmos DB Accountthrough Azure CLI
	</li>
	<li>
	Duration:&nbsp;35&nbsp;minutes
	</li>
</ol>

<h1>Introduction</h1>

<h2>What is Azure Cosmos DB ?</h2>

<ol>
	<li>
	Azure Cosmos DB is a fully managed NoSQL database that can be used for application development.
	</li>
	<li>
	It is highly scalable with very low latency.
	</li>
	<li>
	Management of Cosmos DB including updating and patching is done automatically without any manual intervention.
	</li>
</ol>

<h1>Task Details</h1>

<ul>
	<li>
	Launching Lab Environment
	</li>
	<li>
	Creating an Azure Cosmos DB Account through Azure CLI
	</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;">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 walk through the steps<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;"> to <span style="font-family: arial, helvetica, sans-serif; background-color: transparent; color: rgb(22, 22, 22); font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; vertical-align: baseline; white-space: pre-wrap;">deploy a Bicep file to create an Azure Cosmos DB database and a container within that database.	</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="font-family: arial, helvetica, sans-serif; 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<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><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;">Introduction</h1><h2 dir="ltr" style="color: rgb(85, 85, 85); margin-top: 0pt; margin-bottom: 0pt;"><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;">What is an Azure Cosmos DB? &nbsp;</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;">Azure Cosmos DB is a globally distributed, multi-model NoSQL database service provided by Microsoft.&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;">It is designed to be highly available, scalable, and offer low-latency access to data for global applications.	</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;">Some of the key features of Azure Cosmos DB include: </li></ul><ul style="margin-bottom: 0px; padding-inline-start: 48px;"><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">Multi-Model Support: Azure Cosmos DB supports multiple data models such as document, key-value, graph, and column-family, giving developers the flexibility to choose the appropriate data model for their application.	</li><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">Global Distribution: Azure Cosmos DB can distribute data globally across multiple regions, ensuring low-latency access to data from anywhere in the world.	</li><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">High Availability: Azure Cosmos DB offers high availability with multiple replicas of data stored in different regions, reducing the risk of data loss or downtime.	</li><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">Scalability: Azure Cosmos DB is designed to scale horizontally, allowing developers to scale their databases as needed without worrying about hardware or infrastructure.	</li><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">Consistency: Azure Cosmos DB offers five consistency levels to choose from, allowing developers to choose the level of consistency that best suits their application.	</li><li aria-level="1" dir="ltr" style="list-style-type: circle; font-size: 13pt; font-family: Roboto, sans-serif; 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; margin-left: 36pt;">Multiple APIs: Azure Cosmos DB supports multiple APIs, including SQL, MongoDB, Cassandra, Gremlin, and Azure Table Storage, making it easy for developers to migrate their existing applications to Azure Cosmos DB. </li></ul><h2 dir="ltr" style="color: rgb(85, 85, 85); margin-top: 0pt; margin-bottom: 0pt;"><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;">What is a Bicep file? &nbsp;</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 &nbsp;</h1><img alt="" src="https://labresources.whizlabs.com/3b2db94926f069a4e5058b17aea458e1/image12_02_29.png" style="width: 800px; height: 495px;"> &nbsp;&nbsp;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);"><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;">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>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 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>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 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&#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 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="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>

<ul>
<li>The Exam DP-900: Microsoft Azure Data Fundamentals is intended for beginners who work with data in the cloud to validate their fundamental skills in Azure data services.</li>
<li>This DP-900 Certification course includes the best documentary video courses with 40 videos and 110+ Practice tests which help you pass your Microsoft Azure Data Fundamentals Exam on the first attempt.</li>
<li>Obtaining the Microsoft Azure Data Fundamentals DP-900 Credential ensures your basic understanding of Core Data concepts and how they can be implemented through Azure Data services.</li>
</ul>

Microsoft Azure Exam DP-900 Certification

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Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs Microsoft Azure DP-900 Practice Tests.

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Have helped over 1.5 million Azure professionals in their certification exam preparation. Enrol now for Microsoft Azure Exam DP-900 Online Course.

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Exam DP-900: Microsoft Azure Data Fundamentals

This DP-900 course ensures your core skills of database concepts in a cloud environment to help you pass Microsoft Azure Data Fundamentals on first attempt.

Microsoft Azure Exam DP-900 Certification - Whizlabs

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2 Full-length Mock Exams (110+ unique Microsoft Azure DP-900 Certification Exam practice questions)

4 hours 39 minutes of Training Videos for all the certification exam objectives. Our easy-to-understand explanation, even for the difficult concepts

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5 section quiz covering most important topics for the exam (Core ML Concepts,Data Engineering, Exploratory Data Analysis, Modeling etc).

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Xuguang Wang

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