A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met: *The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance. *The application must be able to scale to meet an unpredictable number of concurrent users during the trial. Which action will allow the team to quickly meet these objectives?

• A.Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.
• B.Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user- data scripts to install the application and the MySQL database on each EC2 instance. Update the stack to deploy new application versions.
• C.Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production. Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
• D.Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk "swap cname' to promote the test environment to production.

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When writing plays, tasks and playbooks, Ansible fully supports which high level language to describe these?

• A.YAML
• B.Python
• C.XML
• D.JSON

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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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You have a number of Cloudformation stacks in your IT organization. Which of the following commands will help see all the cloudformation stacks which have a completed status?

• A.describe-stacks
• B.list-stacks
• C.stacks-complete
• D.list-templates

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Which of these is not an instrinsic function in AWS CloudFormation?

• A.Fn::Equals
• B.Fn::If
• C.Fn::Not
• D.Fn::Parse

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