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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Your company is getting ready to do a major public announcement of a social media site on AWS. The
website is running on EC2 instances deployed across multiple Availability Zones with a Multi-AZ RDS
MySQL Extra Large DB Instance. The site performs a high number of small reads and writes per second and
relies on an eventual consistency model. After comprehensive tests you discover that there is read contention
on RDS MySQL. Which are the best approaches to meet these requirements?
Choose 2 answers from the options below

• A.DeployElasticCache in-memory cache running in each availability zone
• B.Implementshardingto distribute load to multiple RDS MySQL instances
• C.Increasethe RDS MySQL Instance size and Implement provisioned IOPS
• D.Addan RDS MySQL read replica in each availability zone

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A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.
What option requires the LEAST amount of management overhead to meet these requirements?

• A.Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.
• B.Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
  Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of
  50%.
• C.Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.
• D.Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
  Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

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A retail company wants to use AWS Elastic Beanstalk to host its online sales website running on Java. Since this will be the production website, the CTO has the following requirements for the deployment strategy:
*Zero downtime. While the deployment is ongoing, the current Amazon EC2 instances in service should remain in service. No deployment or any other action should be performed on the EC2 instances because they serve production traffic.
*A new fleet of instances should be provisioned for deploying the new application version.
*Once the new application version is deployed successfully in the new fleet of instances, the new instances should be placed in service and the old ones should be removed.
*The rollback should be as easy as possible. If the new fleet of instances fail to deploy the new application version, they should be terminated and the current instances should continue serving traffic as normal.
*The resources within the environment (EC2 Auto Scaling group, Elastic Load Balancing, Elastic Beanstalk DNS CNAME) should remain the same and no DNS change should be made.
Which deployment strategy will meet the requirements?

• A.Use rolling deployments with a fixed amount of one instance at a time and set the healthy threshold to OK.
• B.Use rolling deployments with additional batch with a fixed amount of one instance at a time and set the healthy threshold to OK.
• C.launch a new environment and deploy the new application version there, then perform a CNAME swap between environments.
• D.Use immutable environment updates to meet all the necessary requirements.

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You have deployed a Cloudformation template which is used to spin up resources in your account. Which of the following status in Cloudformation represents a failure.

• A.UPDATE_COMPLETE_CLEANUPJN_PROGRESS
• B.DELETE_COMPLETE
• C.ROLLBACK_IN_PROGRESS
• D.UPDATE_IN_PROGRESS

Correct Answer: C

Explanation
AWS Cloud Formation provisions and configures resources by making calls to the AWS services that are described in your template.
After all the resources have been created, AWS Cloud Formation reports that your stack has been created. You can then start using the resources in your stack. If stack creation fails, AWS CloudFormation rolls back your changes by deleting the resources that it created.
The below snapshot from Cloudformation shows what happens when there is an error in the stack creation.

For more information on how Cloud Formation works, please refer to the below link:
* http://docs.ws.amazon.com/AWSCIoudFormation/latest/UserGuide/cfn-whatis-howdoesitwork-html

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