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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A company wants to implement a CI/CD pipeline for building and testing its mobile apps. A DevOps Engineer has been given the following requirements:
* Use AWS CodePipeline to orchestrate the workflow.
* Test the application on real devices.
* Trigger a notification.
* Stage the application binary on a production bucket in a different account.
* Make the application binary publicly accessible.
Which sequence of actions should the Engineer perform in the pipeline to meet the requirements?

• A.Use AWS CodeCommit as the code source and AWS CodeBuild to compile and package the application.
  Invoke an AWS Lambda function that uploads the application binary to a device farm for testing. Deliver the binary to the production Amazon S3 bucket. Use an S3 bucket policy to allow public read on the production S3 bucket. Trigger notifications by using an Amazon CloudWatch Events rule.
• B.Use AWS CodeCommit as the code source and AWS CodeDeploy to compile and package the application.
  Use CodeDeploy to deploy the application binary to an AWS Lambda function for testing. Use a third-party library on AWS Lambda to simulate the device platform. Allow a Lambda role to upload to the production Amazon S3 bucket. Make the binary publicly accessible. Trigger notifications using Amazon SNS.
• C.Use GitHub as the code source and AWS Lambda to compile and package the application. Use another Lambda function to run unit tests and deliver the application binary to a development bucket. Use the binary from the development bucket and install the application on a personal device for testing. Deliver the binary to the production bucket after approval. Trigger notifications using Amazon SNS.
• D.Use an Amazon S3 bucket as the code source and AWS CodeBuild to compile and package the application. Use AWS CodeDeploy to deploy the application binary to a device farm for testing. Deliver the binary to the production S3 bucket. Use an S3 bucket policy to allow public read on the production S3 bucket. Trigger notifications using an Amazon CloudWatch Events rule with Amazon SNS.

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You need to create a Route53 record automatically in CloudFormation when not running in production during all launches of a Template. How should you implement this?

• A.Use a <code>Parameter</code> for <code>environment</code>, and add a
  <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record only when <code>environment</code> is not <code>production</code>.
• B.Create two templates, one with the Route53 record value and one with a null value for the record.
  Use the one without it when deploying to production.
• C.Use a <code>Parameter</code> for <code>environment</code>, and add a
  <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record with a null string when <code>environment</code> is <code>production</code>.
• D.Create two templates, one with the Route53 record and one without it. Use the one without it when deploying to production.

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A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances. How can the deployments of the operating system and application patches be automated using a default and custom repository?

• A.Use AWS Systems Manager to create a new patch baseline including the custom repository.
  Execute the AWS-RunPatchBaseline document using the run command to verify and install patches.
• B.Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.
• C.Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum- to activate the repository.
  config-manager-enable
• D.Use AWS Systems Manager to create a new patch baseline including the corporate repository.
  Execute the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.

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You are running a Docker daemon on a Linux host and it becomes unresponsive. Which signal, when sent to a Docker process with the kill command, forces the full stack trace to be logged for debugging purposes?

• A.-TRACE
• B.-IOTRACE
• C.-SIGUSER1
• D.-KILLTRACE

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