The development team has developed a new feature that uses an AWS service and wants to test it from inside
a staging VPC. How should you test this feature with the fastest turnaround time?

• A.Launchan Amazon Elastic Compute Cloud (EC2) instance in the staging VPC in responseto a
  development request, and use configuration management to set up theapplication. Run any testing
  harnesses to verify application functionality andthen use Amazon Simple Notification Service (SNS) to
  notify the developmentteam of the results.
• B.Usean Amazon EC2 instance that frequently polls the version control system todetect the new feature,
  use AWS CloudFormation and Amazon EC2 user data to runany testing harnesses to verify application
  functionality and then use AmazonSNS to notify the development team of the results.
• C.Usean Elastic Beanstalk application that polls the version control system todetect the new feature, use
  AWS CloudFormation and Amazon EC2 user data to runany testing harnesses to verify application
  functionality and then use AmazonKinesis to notify the development team of the results.
• D.UseAWS CloudFormation to launch an Amazon EC2 instance use Amazon EC2 user data torun any
  testing harnesses to verify application functionality and then useAmazon Kinesis to notify the
  development team of the results.

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After a recent audit, a company decided to implement a new disaster recovery strategy for Its Amazon S3 data and its MySQL database running on Amazon EC2. Management wants the ability to recover to a secondary AWS Region with an RPO under 5 seconds and a RTO under 1 minute.
Which actions will meet the requirements while MINIMIZING operational overhead? (Select TWO.)

• A.Migrate the database to Amazon RDS with a read replica in the secondary Region
• B.Set up S3 cross-Region replication with a replication SLA for the S3 buckets where objects are being put.
• C.Migrate the database to an Amazon Aurora multi-master in the primary and secondary Regions.
• D.Modify the application to write to both Regions at the same time when uploading objects to Amazon S3
• E.Migrate to Amazon Aurora Global Database.

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Which of the following are components of the AWS Data Pipeline service. Choose 2 answers from the options
given below

• A.Pipeline definition
• B.Task Runner
• C.Task History
• D.Workflow Runner

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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.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.
• B.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.
• 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 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.

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You need to scale an RDS deployment. You are operating at 10% writes and 90% reads, based on your logging. How best can you scale this in a simple way?

• A.Create a second master RDS instance and peer the RDS groups.
• B.Cache all the database responses on the read side with CloudFront.
• C.Create read replicas for RDS since the load is mostly reads.
• D.Create a Multi-AZ RDS installs and route read traffic to standby.

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