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AWS Certified Professional DOP-C02 Exam Dumps

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Total 425 questions

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 105

A DevOps administrator is configuring a repository to store a company ' s container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.

B.

Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.

C.

Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.

D.

Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.

Question 106

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

Options:

A.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

B.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

C.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

D.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Question 107

A company deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeConnections compatible Git repository.

When the company merges code to the main branch, an AWS CodeBuild project is initiated. The CodeBuild project compiles the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances.

Previous deployments have resulted in defects, EC2 instances that were not running the latest version of the packaged code, and inconsistencies between instances. A DevOps engineer needs to improve the reliability of the deployment solution.

Which combination of actions will meet this requirement? (Select TWO.)

Options:

A.

Create a pipeline in AWS CodePipeline that uses the Git repository as the source provider. Configure the pipeline to have parallel build and test stages. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

B.

Create a pipeline in AWS CodePipeline that uses the Git repository as the source provider. Configure the pipeline to have a build stage followed by a test stage. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

C.

Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.

D.

Create individual AWS Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.

E.

Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy.

Question 108

A company is developing a web application and is using AWS CodeBuild for its CI/CD pipeline. The company must generate multiple artifacts from a single build process. The company also needs the ability to determine which build generated each artifact. The artifacts must be stored in an Amazon S3 bucket for further processing and deployment. Builds occur frequently and are based on a large Git repository. The company needs to optimize build times. Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Configure the buildspec.yml file to specify multiple artifacts with different file sets. Enable local caching for the build process by using source cache mode. Use environment variables to dynamically name artifacts based on the build ID.

B.

Configure the buildspec.yml file to output all files as a single artifact. Enable local caching for the build process by using custom cache mode. Create an AWS Lambda function that is invoked by CodeBuild completion. Program the Lambda function to split the artifact into multiple files and to upload the files to the S3 bucket with dynamic names based on build ID.

C.

Create separate CodeBuild projects for each artifact type. Enable local caching for the build process by using Docker layer cache mode. Configure each project to output a single artifact to the S3 bucket with a dynamic name based on build ID. Use AWS Step Functions to orchestrate the projects in parallel.

D.

Set up CodeBuild to generate a single ZIP artifact that contains all files. Enable S3 caching for the build process. Use AWS CodePipeline with a custom action to extract the files and reorganize the files into multiple artifacts in the S3 bucket. Configure the custom action to dynamically name the files based on the time of the build.

Page: 27 / 30
Total 425 questions