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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 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.

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Question 2

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.

Filter 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.

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

E.

Use Amazon DynamoDB as the persistent metadata store.

F.

Query the data with Amazon Redshift.

Question 3

A DevOps engineer needs to implement a CI/CD pipeline that uses AWS CodeBuild to run a test suite. The test suite contains many test cases and takes a long time to finish running. The DevOps engineer wants to reduce the duration to run the tests. However, the DevOps engineer still wants to generate a single test report for all the test cases.

Which solution will meet these requirements?

Options:

A.

Run the test suite in a batch build type of build matrix by using the codebuild-tests-run command.

B.

Run the test suite in a batch build type of build fanout by using the codebuild-tests-run command.

C.

Run the test suite in a batch build type of build list by using different subsets of the test cases.

D.

Run the test suite in a batch build type of build graph by using different subsets of the test cases.

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