This AWS Lab is provided for practicing logging into AWS. Once logged in, students can navigate through the AWS console on their own to get themselves familiarized with AWS console. Understand how AWS console looks. Search for various AWS resources. Understand various AWS resources location and how they are categorized.

This lab walks you through to Amazon Simple Storage Service. Amazon S3 has a simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. In this lab we will demonstrate AWS S3 by creating a sample S3 bucket, uploading an object to S3 bucket and setting up bucket permission and policy.

This lab walks you through to the steps how to Enables Versioning to a AWS S3 Bucket. Versioning enables you to keep multiple versions of an object in one bucket. In this lab we learn how to enable object versioning on a S3 bucket

This Lab walks you through the steps on how to Create a Lifecycle Rule for an Object in S3 Bucket.

This lab walks you through Amazon CloudFront creation and working. In this lab, you will create an Amazon CloudFront distribution. It will distribute a publicly accessible image file stored in an Amazon S3 bucket.

<ol>
	<li>
	This lab walks you through the steps to add origin EC2 Public IPv4 DNS and S3 bucket endpoint as the origin in CloudFront distribution. And club both of these together in Origin Groups.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

1.This lab walks you through the steps to launch and configure a virtual machine in the Amazon cloud.
2.You will practice using Amazon Machine Images to launch Amazon EC2 Instances and use key pairs for SSH authentication to log into your instance. You will create a web page and publish it.
&nbsp;

<ol>
	<li>
	This lab walks you through the steps to launch an EC2 Spot Instance using AWS Management Console. You will also learn about Saving Summary and pricing history.
	</li>
	<li>
	You will practice using Amazon Machine Image (AMI) to launch Amazon EC2 Spot Instance and use key pairs for SSH authentication to log into your instance.
	</li>
	<li>
	You will create a web page and publish it.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch and configure a virtual machine in the Amazon cloud.
	</li>
	<li>
	You will practice using Amazon Machine Images to launch Amazon EC2 Instances and use user data to create and install a web page using&nbsp;the instance. You will create a web page and publish it.
	</li>
	<li>
	You will also create an additional elastic network interface and an additional elastic IP.&nbsp; Attach these additional created resources with EC2, and use another security group with HTTPS permission to test it.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>This lab walks you through the steps to launch and configure a virtual machine in the Amazon cloud</li>
	<li>You will log into SSH and create a web page and publish it.</li>
	<li>You will Allocate and associate an Elastic IP.</li>
</ol>

This lab walks you through how to create a static HTML webstie using aws S3 and make it global to the internet

This Lab walks you through&nbsp; the steps on how to upload a file to S3 bucket using Multipart

<ol>
	<li>
	This lab walks you through the steps to create an S3 pre-sign URL. Here you will be creating an S3 bucket, uploading objects, and using CloudShell&nbsp;you will create a short-lived URL i.e. pre sign&nbsp;URL.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through the creation and testing of an Amazon Relational Database Service (Amazon RDS) database. We will create an RDS MySql Database and test the connection using MySQL Workbench.

This lab walks you through AWS Elastic Load Balancing. Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud. In this lab, we will demonstrate elastic load balancing with 2 EC2 Instances.

<ol>
	<li>
	This lab walks you through the steps to Create an Application Load Balancer from AWS CLI
	</li>
	<li>
	You will practice it using AWS EC2 and AWS Load Balancing
	</li>
</ol>

AWS Auto Scaling will automatically scale resources as needed to align to your selected scaling strategy, This lab walks you through to use Auto Scaling to automatically launch or terminate EC2&rsquo;s instances based on user defined policies, schedules and health checks.

<ol>
	<li>
	This lab walks you through the steps to create and configure an Amazon EC2 Auto Scaling with&nbsp;Launch templates using the AWS Management Console.&nbsp;
	</li>
	<li>
	You will practice using Amazon Machine Image (AMI) to launch Amazon EC2&nbsp;Instances&nbsp;using Launch templates and will use key pairs for SSH authentication to log into your instance.
	</li>
	<li>
	You will create a web page and publish it.
	</li>
</ol>

This lab walks you through AWS Elastic Beanstalk. In this lab, you will quickly deploy and manage a Java application in the AWS Cloud without worrying about the infrastructure that runs those applications.

This lab walks you through to AWS Elastic Beanstalk. In this lab, you will deploy and manage a simple Java application in the AWS Cloud. You will add new database using new Beanstalk Environment Configuration.

This lab walks you through Amazon DynamoDB features. In this lab, we will create a table in Amazon DynamoDB to store information and then query that information from the DynamoDB table.

This lab walks you through the steps to create DynamoDB and use Global Secondary Indexes in a case study.

<ol>
	<li>
	This lab walks you through the steps to import CSV data into DynamoDB Table.
	</li>
	<li>
	You will practice using Amazon DynamoDB, Amazon Lambda function and S3 bucket
	</li>
</ol>

&nbsp;

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through the steps to launch and configure a DynamoDB DAX Cluster in the Amazon cloud.
	</li>
	<li>
	You will practice using Amazon Machine Images to launch Amazon EC2 Instances and use key pairs for SSH authentication to log into your instance then you will create a Go application followed by a sample DynamoDB table.
	</li>
	<li>
	You will run GetItem, Query, and Scan command to note down the timings with the DynamoDB table. And, then run the same command&nbsp;with DAX Cluster and check the duration of GetItem, Query, and Scan.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through the steps to import JSON data into DynamoDB Table

<ol>
	<li>
	This lab walks you through the steps of connecting Amazon EC2 with Amazon RDS Instance.&nbsp;
	</li>
	<li>
	We will create a EC2 instance under public subnet and an Amazon RDS in new Subnet Group.
	</li>
</ol>

This lab walks you through the creation and usage of an AWS Serverless service called AWS Lambda. In this lab, we will create a sample Lambda function that is triggered on the S3 Object upload event and makes a copy of that object on another S3 Bucket.

This lab walks you through launching of EC2 instance using of AWS Lambda. In this lab, we will create a sample lambda function. This lambda function when triggered will provision an EC2 Instance.

<ol>
	<li>
	This lab walks you through the steps to launch an Amazon DynamoDB table, Configuring DynamoDB Streams and triggering Lambda function to dump the items in the table as a text file and then move the text file to the&nbsp;S3 bucket
	</li>
	<li>
	You will practice it using Amazon DynamoDB, Amazon Lambda function
	</li>
</ol>

This lab walks you through the creation of lambda function and creating versions and alias for your lambda function in CLI from EC2 instance.

<ol>
	<li>
	This lab walks you through the steps to install external libraries to your Lambda function using Cloud9 Environment if your code has additional dependencies on libraries other than the AWS SDK and include them in your deployment package (.zip file).
	</li>
	<li>
	You will practice using AWS Cloud9 and Amazon Lambda.
	</li>
	<li>
	Duration: 45 minutes
	</li>
</ol>

This lab walks you through to AWS CloudFormation features. In this lab, we will demonstrate the use AWS CloudFormation&nbsp;Stack&nbsp;in creating a simple LAMP Server.

This lab walks you through the provisioning of an EC2 instance using an AWS CloudFormation template.

This lab walks you through how to create a VPC using AWS CloudFormation Stack. In this lab we will launch a AWS CloudFormation template to create a four-subnet Amazon VPC that spans two Availability Zones and a NAT that allows servers in the private subnets to communicate with the Internet in order to download packages and updates.

<ol>
	<li>
	This lab walks you through the steps to understand a sample CloudFormation template and update the CloudFormation stack as per the requirements.
	</li>
	<li>
	You will practice using Amazon Machine Images to launch Amazon EC2 Instances and change the instance type as part of the update, replace port 22 with port 80 and finally display the private IP of the EC2 instance as output.&nbsp;All these updates will be created as Change set.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through creating VPC, Subnet, Internet Gateway, Route table, add IGW to VPC, add a new route to Internet gateway in Route table and associate subnet in the AWS management console.

This lab walks you through creating VPC, Subnet, Internet Gateway, Route table, adding IGW to VPC, adding a new route to Internet gateway in Route table and associate subnet. We will then launch an EC2 instance in that VPC and launch an web page using AWS CLI commands

<ol>
	<li>
	This lab walks you through the steps to create a Nested stack using cloud formation.
	</li>
	<li>
	In this lab, you will create two separate stacks for Auto Scaling and Load Balancer and attach the Autoscaling group with a Load balancer using Nested stack.
	</li>
</ol>

This lab walks you through the creation and testing of an Amazon Aurora database. We will create an Aurora MySQL Database and test the connection.

<ol>
	<li>
	This lab walks you through the steps to create an Elastic File System.
	</li>
	<li>
	You will launch and configure two Amazon EC2 Instances.
	</li>
	<li>
	You will practice to mount the EFS to both instances by logging into your instance using SSH authentication.
	</li>
	<li>
	You will practice the file share happening between two instances.
	</li>
</ol>

This Lab walks you through&nbsp; the steps&nbsp;to create EC2 and run few AWS CLI Commands

This lab walks you through Shutting down and terminating EC2 instances using AWS Lambda. In this lab, we will create a sample lambda function. This lambda function when triggered will shut down and terminate an EC2 Instance.

This lab walks you through creating an S3 bucket and trigger lambda function that will send an email notification to the user when we upload or delete an S3 object and testing it in the AWS management console

<ol>
	<li>
	This lab walks you through the steps to Creating a Schedule on Lambda.
	</li>
	<li>
	You will Practice Scheduling a Lambda Function
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch and configure an HTTPD container&nbsp;on ECS Cluster.
	</li>
	<li>
	You will practice using Amazon Elastic Container Service Cluster by creating Task definitions and&nbsp;Service.&nbsp;
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an&nbsp;EKS&nbsp;Cluster and understand each of its components.
	</li>
	<li>
	You will practice using the AWS&nbsp;Elastic Kubernetes Service cluster and install kubectl to get the cluster IP.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create a step function and integrate it to Lambda function.
	</li>
	<li>
	You will practice using AWS Step Functions.
	</li>
</ol>

This lab walks you through the steps on&nbsp;how to create IAM Users, IAM Groups and adding IAM User to the IAM Group&nbsp;in AWS IAM service.

This lab walks you through the steps to create AWS S3 bucket and access the bucket using AWS CLI commands from EC2 instance with the help of AWS IAM Role

<ul>
	<li>
	This lab walks you through the steps to set up a recording configuration setting for AWS Config and Detect the unprotected Security groups present in the account.
	</li>
	<li>
	You will practice using Amazon Config rules to check whether security groups are having a target for SSH as open to the world or not, It&#39;s open then AWS&nbsp;Config will flag them as a non-compliant resource.&nbsp;
	</li>
</ul>

This lab walks you through the steps to monitor the Unrestricted Security group and public S3 Bucket with the help of AWS Trusted Advisor.

This lab walks you through the steps to Create IAM Roles

This lab walks you through the steps to Create IAM Policies

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through the steps to build RAID 0 and RAID 1 arrays and attach them to an EC2 instance.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Introduction</h1>

<h2>Secrets Manager</h2>

<ul>
	<li>
	AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources.
	</li>
	<li>
	It enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
	</li>
	<li>
	Using Secrets Manager, you can secure, audit, and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises.&nbsp;&nbsp;
	</li>
</ul>

<ul>
	<li>
	You can securely store secrets, such as database credentials too, using built-in integration for Amazon RDS for MySQL, PostgreSQL, and Amazon Aurora.
	</li>
	<li>
	&nbsp;Hard coding secrets or sensitive information is a bad practice as it brings instability and there is a chance of people misusing them whoever gets their hands on them. And AWS Secrets Manager eliminates the need to&nbsp;hardcode sensitive information&nbsp;in plain text.
	</li>
	<li>
	It provides default encryption to your secrets stored in AWS Secrets Manager.
	</li>
	<li>
	Secrets Manager offers pay as you go pricing.
	</li>
</ul>

<h2>AWS DynamoDB</h2>

<ul>
	<li>
	DynamoDB is a fast and flexible NoSQL database designed for applications that need consistent, single-digit millisecond latency at any scale.it is a fully managed database and it supports both document and key value data models.
	</li>
	<li>
	It has a very flexible data model. This means that you don&#39;t need to define your database schema upfront. It also has reliable performance.
	</li>
	<li>
	DynamoDB is a good fit for mobile gaming, ad-tech, IoT and many other applications.
	</li>
</ul>

&nbsp;

<h3>DynamoDB Tables</h3>

DynamoDB tables consist of:

<ul>
	<li>
	Items (Think of a row of data in a table).
	</li>
	<li>
	Attributes ((Think of a column of data in a table).
	</li>
	<li>
	Supports key-value and document data structures.
	</li>
	<li>
	Key= the name of the data.&nbsp; Value= the data itself.
	</li>
	<li>
	Document can be written in JSON, HTML or XML.
	</li>
</ul>

<h2>AWS Lambda</h2>

<ul>
	<li>
	Lambda is a compute service that lets you run code without provisioning or managing servers.&nbsp;
	</li>
	<li>
	With Lambda, you can run code for virtually any type of application or backend service.
	</li>
</ul>

&nbsp;

<h1>Architecture Diagram</h1>

<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_294/image21.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Sign in to AWS Management Console.
	</li>
	<li>
	Create a lambda Function
	</li>
	<li>
	Write a lambda hard-code access keys to create DynamoDB tables and Items.
	</li>
	<li>
	View DynamoDB Table created in console.
	</li>
	<li>
	Write a lambda code to return the table data.
	</li>
	<li>
	Create a Secret Manager to Store Access key and Secret Access keys
	</li>
	<li>
	Write a Lambda code to create DynamoDB Items by retrieving the access keys from Secrets Manager.
	</li>
	<li>
	View DynamoDB Table created in console.
	</li>
	<li>
	Write a lambda code to view the table items using a secret manager.
	</li>
	<li>
	Deleting AWS Resources.
	</li>
</ol>

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_294/image17.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

&nbsp;

<table>
	<tbody>
		<tr>
			<td>
			Note&nbsp;: You can only start one lab at any given time
			</td>
		</tr>
	</tbody>
</table>

&nbsp;

<ol>
	<li>
	This lab walks you through the steps to launch an EC2 instance with an SSM role and install an apache server using a tag-based resource group and AWS Systems manager document.
	</li>
	<li>
	You will practice using an Amazon EC2 with no SSH port and KeyPair.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the creation of an Application Load Balancer AWS Elastic Load Balancer automatically distributes incoming application traffic across two Amazon EC2 instances. Next we will create a set of rules to block the access from geo locations, SQL Injections and block certain Query String parameters.
	</li>
	<li>
	Duration: 120 minutes
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the AWS KMS, AWS S3 and AWS CloudTrail. You will create a custom encryption key using KMS and use it to encrypt objects S3 Bucket and configure CloudTrail to watch S3 events.
	</li>
	<li>
	Duration:&nbsp;50 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to deploy Blue/Green environment with AWS Elastic Beanstalk
	</li>
	<li>
	You will practice it using AWS Elastic Beanstalk
	</li>
</ol>

<ol>
<li>Region&nbsp;: Make sure to use&nbsp;<kbd>us-east-1</kbd>&nbsp;region to create all the resources.</li>
<li>You will be provided with the requirements of the challenge. If you are new to AWS Cloud, we recommend you go through our hands-on Labs before taking this challenge.</li>
<li>Challenge Duration:&nbsp;<kbd>60&nbsp;minutes</kbd></li>
</ol>

This lab walks you through the step by step procedure on launching a EC2 instance. It shows the details on how to install WordPress on your EC2 Instance and configure it. You will be launching a EC2 Instance and install wordpress from SSH terminal. Once the wordpress is installed you will login to Wordpress website.

<ol>
	<li>
	This lab walks you through how to deploy sample WordPress applications with AWS CodeDeploy on Amazon EC2 Instance.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to create a&nbsp;two-stage pipeline that uses an Amazon S3 bucket having versioning enabled and uses&nbsp;AWS CodePipeline to deploy a sample application.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to deploy sample containerized&nbsp;applications on ECS using AWS CodeDeploy.
	</li>
	<li>
	Duration:&nbsp;120 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create, build and deploy the sample node.js Hello World application using AWS Serverless Application Model (SAM).
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through the steps to Create Resources and Methods in API Gateway

<ol>
	<li>
	This lab walks you through the steps to create an API Gateway with two different stages and integrate it to two different lambda functions.
	</li>
	<li>
	You will practice using Amazon API Gateway.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an API Gateway with path and query string parameter and integrate it to Lambda function.
	</li>
	<li>
	You will practice using Amazon API Gateway.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an Amazon ECS Sample App using first-run wizard..
	</li>
	<li>
	You will practice using Fargate to create and configure Task Definition, Service and Cluster.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch, configure, and manage an HTTPD container&nbsp;on ECS Cluster with the application load balancer.
	</li>
	<li>
	You will practice using Amazon Elastic Container Service (ECS) Cluster by creating Task definitions and&nbsp;Service. During the creation of the Service inside the cluster, you will select an existing Application load balancer and Target group.&nbsp;
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch, configure, and manage an HTTPD container&nbsp;on ECS Cluster with the application load balancer.
	</li>
	<li>
	You will practice using Amazon Elastic Container Service (ECS) Cluster by creating Task definitions and&nbsp;Service. During the creation of the Service inside the cluster, you will select an existing Application load balancer and Target group.&nbsp;
	</li>
	<li>
	You will create an auto-scaling policy and trigger the scaling activity using&nbsp;ApacheBench(ab).
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create a step function and work with different states.
	</li>
	<li>
	You will practice using AWS Step Functions.
	</li>
</ol>

<ol>
	<li>This lab walks you through the steps to create a step function, perform get and put requests to DynamoDB and send the status of the operation using SNS notification.</li>
	<li>You will practice using AWS Step Functions.</li>
	<li>Duration: 45 minutes.</li>
	<li>AWS Region: US East (N. Virginia).</li>
</ol>

<ol>
	<li>
	This lab walks you through the&nbsp;Deployment of sample python&nbsp;application&nbsp;stored in S3 Bucket via CodePipeline. You will first create a sample PHP application with Elastic Beanstalk, then override using CodePipeline.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
<li>
This lab walks you through the steps on how to create a Simple AD directory, add Groups, Users and Computer.
</li>
<li>
As part of this lab, the primary AWS Services used are - IAM, EC2, VPC, Directory Services.
</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create ELB and store ELB access logs in S3 Bucket.
	</li>
	<li>
	In this lab, you will create two EC2 instances and attach them to the Elastic load balancer.
	</li>
</ol>

This lab walks you through the various CloudWatch features available which are used for resource monitoring.

This lab walks you through the Creating Rules in the Events Section of Cloudwatch and adding a SNS target. It will tested using EC2 Instance state events.

<ol>
	<li>This lab walks you through the creation of an RDS MySQL Database, creating a table and inserting some values using MySQL Workbench. Now we will create a Cloudwatch event that will trigger Lambda function every 1 minute and copy the RDS Table data to DynamoDB Table.</li>
</ol>

This lab will walk you through the steps to create and manage Queues&nbsp; by explaining all the basics needed

<ol>
	<li>
	This lab walks you through on how to create an SQS queue and send a message that will trigger a lambda function to store the message in S3 bucket.
	</li>
	<li>
	Duration: 45 minutes
	</li>
	<li>
	AWS Region: US East (N. Virginia)
	</li>
</ol>

<ol>
	<li>This lab will walk you through the steps to create a SQS Queue, set visibility and delivery delay time. Send a message from the queue and receive the message in lambda function.</li>
</ol>

This lab walks you through the creation and subscription of an Amazon SNS Topic. Using AWS S3 bucket you will test the subscription.

<ol>
	<li>
	This lab walks you through the&nbsp;Deployment of sample Node.js application&nbsp;stored in S3 Bucket via CodePipeline. You will first create a sample Node.js application with Elastic Beanstalk, then overrides using CodePipeline.
	</li>
	<li>
	You will also create an SNS topic with email as a subscription and CloudWatch event for the same.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through the steps to deploy the sample web application using CloudFormation and monitor it using AWS X-Ray.

This lab walks you through&nbsp;installing the CloudWatch Logs Agent on an EC2 instance and using it to view metrics. This can be very helpful when testing your application.

<ol>
	<li>
	This lab walks you through the steps to create an interface endpoint for Amazon SQS to access with EC2 Instance.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to build a collection of sample source code input files into a deployable version of source code. You will instruct CodeBuild to use Apache Maven, which is a common build tool, to build a set of Java class files into a Java archive (JAR) file.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through hosting a sample website using the apache web server on the EC2 Linux instance and collecting the real-time logs of the website to AWS S3.
	</li>
	<li>
	You will practice this lab using Kinesis Data Streams, Kinesis Agent, EC2, Kinesis Firehose, S3.
	</li>
</ol>

<h1 dir="ltr" style="color: rgb(85, 85, 85);">Lab Details</h1><ol><li dir="ltr">This lab walks you through the steps to automate the creation of EBS snapshots using CloudWatch and SNS.</li><li dir="ltr">Duration:&nbsp;1 Hour</li><li dir="ltr">AWS Region:&nbsp;US East (N. Virginia) us-east-1</li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">What is Terraform?</h1><ol><li dir="ltr">It is an open-source IaaC (Infrastructure as a code) software tool where you define and create resources using providers in the declarative configuration language example JSON.</li><li dir="ltr">With Terraform, You can package and reuse the code in the form of modules.</li><li dir="ltr">It supports a number of cloud infrastructure providers such as AWS, Azure, GCP, IBM Cloud, OCI, etc.&nbsp;</li><li dir="ltr">terraform has four major commands:<ol><li dir="ltr">terraform init&nbsp;</li><li dir="ltr">terraform plan&nbsp;</li><li dir="ltr">terraform apply&nbsp;</li><li dir="ltr">terraform destroy</li></ol></li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Prerequisites</h1><ol><li dir="ltr">Install Terraform in your local machine using this official guide by Hashicorp.</li><li dir="ltr">To install Terraform using CLI, use this guide&nbsp;<a href="https://learn.hashicorp.com/tutorials/terraform/install-cli" target="_blank">https://learn.hashicorp.com/tutorials/terraform/install-cli</a></li><li dir="ltr">To install Terraform by downloading, use this guide&nbsp;<a href="https://www.terraform.io/downloads.html" target="_blank">https://www.terraform.io/downloads.html</a>&nbsp;</li><li dir="ltr">Download and Install Visual Studio code editor using this guide&nbsp;<a href="https://code.visualstudio.com/download" target="_blank">https://code.visualstudio.com/download</a></li></ol><h1 dir="ltr" style="color: rgb(85, 85, 85);">Architecture Diagram&nbsp;&nbsp;&nbsp;</h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">&nbsp; &nbsp; &nbsp; &nbsp;<img src="https://labresources.whizlabs.com/858abe7002bfdae3ad38bcfcf93b55fb/task_10081%20-%20Page%201_35_07.png" style="height: 394px; margin-left: 0px; margin-top: 0px; width: 688px;"></h1><h1 dir="ltr" style="color: rgb(85, 85, 85);">Task Details</h1><ol><li dir="ltr">Sign into AWS Management Console.</li><li dir="ltr">Setup Visual Studio Code</li><li dir="ltr">Create a variable file.</li><li dir="ltr">Launch an EC2 in main.tf file</li><li dir="ltr">Create an SNS Topic in main.tf file</li><li dir="ltr">Create a Lambda Function in main.tf file</li><li dir="ltr">Create a CloudWatch Event Rule in main.tf file</li><li dir="ltr">Add SNS Destination to Lambda in main.tf file</li><li dir="ltr">Add CloudWatch Event Target to Lambda in main.tf file</li><li dir="ltr">Create an output file</li><li dir="ltr">Confirm the installation of Terraform by checking the version.</li><li dir="ltr">Apply terraform configurations</li><li dir="ltr">Check the resources in AWS Console</li><li dir="ltr">Delete AWS Resources</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/858abe7002bfdae3ad38bcfcf93b55fb/start%20lab_36_23.png" style="height: 30px; margin-left: 0px; margin-top: 0px; width: 182px;">&nbsp;button.</li><li dir="ltr">Please wait until the cloud environment is provisioned. It will take less than a minute to provision.&nbsp;</li><li dir="ltr">Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.&nbsp;</li></ol><div dir="ltr" style="background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;">Note&nbsp;: You can only start one lab at any given time</div>

Configure Email Notification on S3 Bucket Event - Amazon SNS Challenge

<ol>
	<li>
	This lab walks you through the steps to create S3 Bucket, VPC with its components, and VPC flow logs.
	</li>
	<li>
	You will practice using EC2 Instance by running the commands to install HTTPD to generate traffic. You will also, send the logs to the S3 bucket and query them using Amazon Athena.
	</li>
	<li>
	Duration:&nbsp;90&nbsp;minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This AWS Certified Developer Associate certification (DVA-C02) exam validates your proficiency in developing, deploying, and debugging cloud-based applications using AWS and basic AWS architecture best practices. You can master the fundamental AWS development skills to write and deploy cloud-based applications and implement cloud initiatives.
In this AWS Certified Developer Associate course, we provide:
<ul>
<li dir="ltr" aria-level="1">
Full-length AWS Certified Developer Associate practice exam with over 300+ aws certified developer associate exam questions to get a complete idea of the dva-c02 exam pattern.
</li>
</ul>
<div class="docos-collapsible-replyview">
<div class="docos-replyview-static">
<div class="docos-replyview-body docos-anchoredreplyview-body docos-replyview-body-emoji-reactable docos-replyview-body-emoji-reactable-background" dir="ltr">
<ul>
<li>115+ Video lectures, DVA-C02 sandbox, and over 84+ DVA-C02 hands-on labs developed by our certified AWS experts that cover the complete AWS Certified Developer Associate exam syllabus.</li>
</ul>
</div>
</div>
</div>
Become an expert AWS developer and start writing, deploying cloud-based applications, and implementing cloud initiatives.

This lab walks you through creation of a snapshot of EC2 instance and launch a new EC2 instance using AMI of that snapshot.

This lab walks you through the steps to create and configure a network load balancer.

Objective

<ol>
	<li>
	Learn how to build Public and Private subnets from scratch.
	</li>
	<li>
	VPC wizard will not be used. So every component required to build public and private subnets will be created and configured manually.
	</li>
	<li>
	This will give an in-depth understanding of internal components of VPC and subnets.
	</li>
</ol>

Lab Details:&nbsp;&nbsp;&nbsp;&nbsp;

<ol>
	<li>
	This lab walks you through to AWS Virtual Private Cloud (VPC) creation from scratch.&nbsp;
	</li>
	<li>
	In this lab, we will create a VPC without using VPC Wizard. We will create a public and private subnets. Along with that we will be configuring Route tables.
	</li>
</ol>

<ol>
<li>
This lab walks you through the steps to Creating VPC and VPC Flow Logs.
</li>
<li>
You will Practice VPC Flow Logs with VPC
</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to Creating VPC and VPC Flow Logs.
	</li>
	<li>
	You will Practice VPC Flow Logs with VPC
	</li>
</ol>

<h2>Cloud Sandbox</h2>

Ready to try Cloud Sandbox for yourself?

&nbsp;

<ul>
	<li>Using this feature you will be able to spin up an Isolated AWS Cloud Environment, in which you can perform various activities.</li>
	<li>You can use Cloud Sandbox to follow instructions for&nbsp;Sandbox Enabled&nbsp;Video Course.</li>
</ul>

AWS Certified Developer Associate

A cloud sandbox is a virtual environment that simulates environment for testing, development, and experimentation purposes. The cloud sandbox can be used to test new applications, try out different configurations, or practice cloud skills.
Access the benefits of Cloud Sandbox along with the Video Course of AWS Certified Developer Associate course and explore real-time.

Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs AWS Certified Developer Associate practice tests.

Practice Tests

Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs AWS Certified Developer Associate practice tests.

AWS Certified Developer Associate Practice Tests - Whizlabs

Millions of AWS experts have started their preparation with our Online Courses. Enroll now for the AWS Developer Associate Video course.

Online Course

Have helped over 1.5 million AWS experts in their certification exam preparation. Enrol now for AWS Certified Developer Associate online course.

AWS Certified Developer Associate Online Course - Whizlabs

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Preparing for AWS Certified Developer Associate certification exam? Check your current preparation level with AWS Certified Developer Associate free test. Try now!

AWS Certified Developer Associate Free Test - Whizlabs

AWS Certified Developer Associate Certification(DVA-C02)

Pass the AWS Certified Developer Associate Certification(DVA-C02) on your first try! Learn with hands-on labs, practice tests, and join thousands mastering AWS.

Practice Tests, Video Lectures, Hands-on Labs and Cloud Sandbox

You can learn directly from the industry experts, anytime and anywhere.

Experience real-world situations with Hands-On labs and Cloud Sandboxes.

Validate your level of preparedness with unique questions created by industry Professionals.

Our support team comprises AWS experts, ready to clarify all your questions.

Our learning resources are up-to-date for you to learn based on the recent changes from the cloud provider.

We specialize in customized LMS solutions tailored to meet your learning needs.

<ol>
<li>
This lab walks you through how to create a&nbsp;two-stage pipeline that uses an Amazon S3 bucket having versioning enabled and uses&nbsp;AWS CodePipeline to deploy a sample application.
</li>
<li>
Duration:&nbsp;90 minutes
</li>
<li>
AWS Region:&nbsp;US East (N. Virginia) us-east-1
</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an&nbsp;ECS Cluster with t2.micro instance type as container instance.
	</li>
	<li>
	You will practice using Amazon Elastic Container Registry&#39;s repository to push an HTTPD docker image.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

AWS Certification Training Courses

AWS Cloud Practitioner certification demonstrates and validates your knowledge on the overall understanding of AWS Cloud Platfoliyo

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Samkeliso  Dube 

AWS Certified Developer Associate hands-on practice labs are extremely helpful in both learning and preparing for the certification. The guided environment made AWS services easy to test and understand

Best Hands-on Practise

Anil Khare

Helpful practice tests

SI Lam

I believe Whizlabs is a great resource to prepare the students for the AWS Developer Certification exam. The explanations are very deep in thought and knowledge that the more I read, the more I learn and I have used this knowledge to pass the exam. Whizlabs is a must for anyone who wants to learn deep and pass any exams.

Great and excellent resouces

Magesh Kummar

Whizlabs offers top-notch course tutorials that are clear, well-structured, and aligned with real exam patterns. The hands-on labs provide practical experience, making complex topics easy to grasp. The sandbox environment is a game-changer, offering safe and unlimited access to real cloud platforms for deep learning.

Excellent platform

Sandeep Chandupatla

Whizlabs is an outstanding institution for IT education. The courses provided comprehensive coverage of AWS cloud and networking concepts, which greatly enhanced my understanding in these areas. I was especially impressed by the quality of their hands-on labs, which offered valuable practical experience and reinforced the theoretical knowledge effectively. I highly recommend Whizlabs to professionals seeking to advance their expertise in cloud computing and related technologies

Whizlabs is an outstanding institution for IT education.

Krishna Sandeep

Whizlabs’ practice tests for the AWS Certified Developer associate – exam were really helpful and well-structured. The questions and explanations made it easier to understand key concepts and boosted my confidence.

Whizlabs’ practice tests for the AWS Certified Developer associate

ashish dubey

Awesome Product

Oludare Famuyiwa

The AWS Certified Developer Associate course provides a comprehensive and hands-on learning experience tailored to developers working with AWS services. The content is well-structured and strikes a good balance between theory and practical application. The use of labs and real-world examples throughout the course is especially beneficial for reinforcing key topics.

A Comprehensive course for AWS Developers — Practical, Relevant, and Thorough

THET OO

Helpful resource

Carlos  Lopez

I recently took this course to prepare for the AWS Certified Developer – Associate exam, and I couldn't be more satisfied with the experience. The content is well-structured, up-to-date, and packed with real-world scenarios that truly helped me understand AWS services from a developer's perspective. One of the things I appreciated the most was the hands-on labs and exam simulations. They provided practical experience with AWS tools like Lambda, DynamoDB, API Gateway, and CI/CD pipelines, which are crucial for both the exam and real-world projects. The course also covers security best practices and event-driven architectures, making it a well-rounded learning experience.