A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?

• A.Create a Docker file that uses the Chef recipes for the application environment based on an official Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoDB.
• B.Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
  Then configure the custom recipe to deploy the application in the deploy step. Configure time- based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
• C.Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an Amazon EC2 IAM role that provides permission to access DynamoDB.
• D.Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.

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Your company is planning to setup a wordpress application. The wordpress application will connect to a
MySQL database. Part of the requirement is to ensure that the database environment is fault tolerant and
highly available. Which of the following 2 options individually can help fulfil this requirement.

• A.Create a MySQL RDS environment with Multi-AZ feature enabled
• B.Create a MySQL RDS environment and create a Read Replica
• C.Create multiple EC2 instances in the same AZ. Host MySQL and enable replication via scripts between
  the instances.
• D.Create multiple EC2 instances in separate AZ's. Host MySQL and enable replication via scripts between
  the instances.

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Your company uses an application hosted in AWS which conists of EC2 Instances. The logs of the EC2 instances need to be processed and analyzed in real time, since this is a requirement from the IT Security department. Which of the following can be used to process the logs in real time.

• A.UseCloudwatch logs to process and analyze the logs in real time
• B.UseAmazon Glacier to store the logs and then use Amazon Kinesis to process andanalyze the logs in real time
• C.UseAmazon S3 to store the logs and then use Amazon Kinesis to process and analyzethe logs in real time
• D.Useanother EC2 Instance with a larger instance type to process the logs

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Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an Access Denied error is received. What are the possible causes for this error? (Select THREE.)

• A.The object has been moved to Amazon Glacier.
• B.The S3 bucket default encryption is enabled.
• C.There is an error in the S3 bucket policy.
• D.There is an error in the VPC endpoint policy.
• E.There is an error in the IAM role configuration.
• F.S3 versioning is enabled.

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An Application team is refactoring one of its internal tools to run in AWS instead of on-premises hardware.
All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?

• A.Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk.
• B.Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
• C.Developers should use Docker for local development. Use AWS SMS to import these containers as AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
• D.Developers should use Docker for local development. When dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.

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