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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

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 developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.

Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.

How can log collection be automated?

Options:

A.

Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch alarm for EC2 Instance Terminate Successful and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

B.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an AWS Config rule for EC2 Instance-terminate Lifecycle Action and trigger a step function that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

C.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance Terminate Successful and trigger a CloudWatch agent that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

D.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon EventBridge rule for EC2 Instance-terminate Lifecycle Action and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.