You have implemented a system to automate deployments of your configuration and application dynamically after an Amazon EC2 instance in an Auto Scaling group is launched. Your system uses a configuration management tool that works in a standalone configuration, where there is no master node. Due to the volatility of application load, new instances must be brought into service within three minutes of the launch of the instance operating system. The deployment stages take the following times to complete:
1) Installing configuration management agent: 2mins
2) Configuring instance using artifacts: 4mins
3) Installing application framework: 15mins
4) Deploying application code: 1min
What process should you use to automate the deployment using this type of standalone agent configuration?

• A.Configureyour Auto Scaling launch configuration with an Amazon EC2 UserData script toinstall the agent, pull configuration artifacts and application code from anAmazon S3 bucket, and then execute the agent to configure the infrastructureand application.
• B.Builda custom Amazon Machine Image that includes all components pre-installed,including an agent, configuration artifacts, application frameworks, and code.Create a startup script that executes the agent to configure the system onstartup. *t
• C.Builda custom Amazon Machine Image that includes the configuration management agentand application framework pre-installed.
  Configure your Auto Scaling launchconfiguration with an Amazon EC2 UserData script to pull configurationartifacts and application code from an Amazon S3 bucket, and then execute theagent to configure the system.
• D.Createa web service that polls the Amazon EC2 API to check for new instances that arelaunched in an Auto Scaling group. When it recognizes a new instance, execute aremote script via SSH to install the agent, SCP the configuration artifacts andapplication code, and finally execute the agent to configure the system

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You run a 2000-engineer organization. You are about to begin using AWS at a large scale for the first time. You want to integrate with your existing identity management system running on Microsoft Active Directory, because your organization is a power-user of Active Directory. How should you manage your AWS identities in the most simple manner?

• A.Use a large AWS Directory Service Simple AD.
• B.Use a large AWS Directory Service AD Connector.
• C.Use an Sync Domain running on AWS Directory Service.
• D.Use an AWS Directory Sync Domain running on AWS Lambda

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A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.
The deployment must have the following:
* Separate environment pipelines for testing and production.
* Automatic deployment that occurs for test environments only.
Which steps should be taken to meet these requirements?

• A.Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.
• B.Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment.
  Set up CodePipeline to retrieve the source code from the appropriate repository. Set up a deployment step to deploy the Lambda functions with AWS CloudFormation.
• C.Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
• D.Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

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Currently, your deployment process consists of setting your load balancer to point to a maintenance page, turning off ea web application servers, deploying your code, turning the web application servers back on, and removing the maintenance page. Working with your development team, you've agreed that performing rolling deployments of your software would provide a better user experience and a more agile deployment process.
Which techniques could you use to provide a cost-effective rolling deployment process? (Choose two.)

• A.Re-deploy your application on an AWS OpsWorks stack, and take advantage of OpsWorks rolling deployments.
• B.Re-deploy your application using an AWS CloudFormation template with Auto Scaling group, and use update policies to provide rolling updates.
• C.Use the Amazon Elastic Cloud Compute (EC2) API to write a service to return a list of servers based on the tags for the application that needs deployment, and use Amazon Simple Queue Service to queue up all servers for a rolling deployment.
• D.Re-deploy your application on AWS Elastic Beanstalk, and use Elastic Beanstalk rolling deployments.
• E.Re-deploy your application using an AWS CloudFormation template, launch a new CloudFormation stack during each deployment, and then tear down the old stack.
• F.Using Amazon Simple Workflow Service, create a workflow application that talks to the Amazon EC2 API to deploy your new code in a rolling fashion.

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Your firm has uploaded a large amount of aerial image data to S3. In the past, in your on-premises environment, you used a dedicated group of servers to process this data and used Rabbit MQ - An open source messaging system to get job information to the servers. Once processed the data would go to tape and be shipped offsite. Your manager told you to stay with the current design, and leverage AWS archival storage and messaging services to minimize cost. Which is correct?

• A.UseSQS for passing job messages. Use Cloud Watch alarms to terminate EC2 workerinstances when they become idle. Once data is processed, change the storageclass of the S3 objects to Reduced Redundancy Storage.
• B.SetupAuto-Scaled workers triggered by queue depth that use spot instances to processmessages in SQS.
  Once data is processed, change the storage class of the S3objects to Glacier C- Changethe storage class of the S3 objects to Reduced Redundancy Storage. SetupAuto-Scaled workers triggered by queue depth that use spot instances to processmessages in SQS. Once data is processed, change the storage class of the S3objects to Glacier.
• C.Use SNS topassjob messages use Cloud Watch alarms to terminate spot worker instanceswhen they become idle. Once data is processed, change the storage class of theS3 object to Glacier.

Correct Answer: B

Explanation
The best option for reduces costs is Glacier, since anyway in the on-premise location everything was stored on tape. Hence option A is out.
Next SQS should be used, since RabbitMG was used internally. Hence option D is out.
The first step is to leave the objects in S3 and not tamper with that. Hence option B is more suited.
The following diagram shows how SQS is used in a worker span environment.

For more information on SQS queues, please visit the below URL
http://docs.ws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-how-it-works.html

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