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DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

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AWS Certified DevOps Engineer - Professional Questions and Answers

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Question 1

A company is storing 100 GB of log data in csv format in an Amazon S3 bucket SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient automated way to store metadata from the csv file.

Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)

Options:

A.

Fitter the data through AWS X-Ray to visualize the data.

B.

Filter the data through Amazon QuickSight to visualize the data.

C.

Query the data with Amazon Athena.

D.

Query the data with Amazon Redshift.

E.

Use the AWS Glue Data Catalog as the persistent metadata store.

F.

Use Amazon DynamoDB as the persistent metadata store.

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Question 2

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.

Question 3

A company needs to increase the security of the container images that run in its production environment. The company wants to integrate operating system scanning and programming language package vulnerability scanning for the containers in its CI/CD pipeline. The CI/CD pipeline is an AWS CodePipeline pipeline that includes an AWS CodeBuild project, AWS CodeDeploy actions, and an Amazon Elastic Container Registry (Amazon ECR) repository.

A DevOps engineer needs to add an image scan to the CI/CD pipeline. The CI/CD pipeline must deploy only images without CRITICAL and HIGH findings into production.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

A.

Use Amazon ECR basic scanning.

B.

Use Amazon ECR enhanced scanning.

C.

Configure Amazon ECR to submit a Rejected status to the CI/CD pipeline when the image scan returns CRITICAL or HIGH findings.

D.

Configure an Amazon EventBridge rule to invoke an AWS Lambda function when the image scan is completed. Configure the Lambda function to consume the Amazon Inspector scan status and to submit an Approved or Rejected status to the CI/CD pipeline.

E.

Configure an Amazon EventBridge rule to invoke an AWS Lambda function when the image scan is completed. Configure the Lambda function to consume the Clair scan status and to submit an Approved or Rejected status to the CI/CD pipeline.

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