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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 uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.

"Version": ”2012-10-17”,

"Statement”: [

{

"Action": [

"codeartifact:DescribePackageVersion", "codeartifact:DescribeRepository",

"codeartifact:GetPackageVersionReadme", "codeartifact:GetRepositoryEndpoint", "codeartifact:ListPackageVersionAssets", '’codeartifact: ListPackageVersionDependencies", "codeartifact:ListPackageVersions", '’codeartifact :ListPackages",

'’codeartifact: ReadFromRepository"

],

"Effect": "Allow",

"Resource": "*",

"Principal":

"Condition": {

"StringEquals": {

"aws:PrincipalOrglD": [ "o-xxxxxxxxxxx"

]

}

}

}

]

A development team is building a new project in an account that is in an organization in AWS Organizations. The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.

The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.

Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)

Options:

A.

Create an Amazon S3 gateway endpoint Update the route tables for the subnets that are running the CodeBuild job.

B.

Update the repository policy's Principal statement to include the ARN of the role that the CodeBuild project uses.

C.

Share the CodeArtifact repository with the organization by using AWS Resource Access Manager (AWS RAM).

D.

Update the role that the CodeBuild project uses so that the role has sufficient permissions to use the CodeArtifact repository.

E.

Specify the account that hosts the repository as the delegated administrator for CodeArtifact in the organization.

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Question 2

A company’s web app runs on EC2 Linux instances and needs to monitor custom metrics for API response and DB query latency across instances with least overhead.

Which solution meets this?

Options:

A.

Install CloudWatch agent on instances, configure it to collect custom metrics, and instrument app to send metrics to agent.

B.

Use Amazon Managed Service for Prometheus to scrape metrics, use CloudWatch agent to forward metrics to CloudWatch.

C.

Create Lambda to poll app endpoints and DB, calculate metrics, send to CloudWatch via PutMetricData.

D.

Implement custom logging in app; use CloudWatch Logs Insights to extract and analyze metrics.

Question 3

A DevOps administrator is responsible for managing the security of a company's Amazon CloudWatch Logs log groups. The company’s security policy states that employee IDs must not be visible in logs except by authorized personnel. Employee IDs follow the pattern of Emp-XXXXXX, where each X is a digit.

An audit discovered that employee IDs are found in a single log file. The log file is available to engineers, but the engineers are not authorized to view employee IDs. Engineers currently have an AWS IAM Identity Center permission that allows logs:* on all resources in the account.

The administrator must mask the employee ID so that new log entries that contain the employee ID are not visible to unauthorized personnel.

Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Create a new data protection policy on the log group. Add an Emp-\d{6} custom data identifier configuration. Create an IAM policy that has a Deny action for the "Action":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

B.

Create a new data protection policy on the log group. Add managed data identifiers for the personal data category. Create an IAM policy that has a Deny action for the "NotAction":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

C.

Create an AWS Lambda function to parse a log file entry, remove the employee ID, and write the results to a new log file. Create a Lambda subscription filter on the log group and select the Lambda function. Grant the lambda:InvokeFunction permission to the log group.

D.

Create an Amazon Data Firehose delivery stream that has an Amazon S3 bucket as the destination. Create a Firehose subscription filter on the log group that uses the Firehose delivery stream. Remove the "logs:*" permission on the engineering accounts. Create an Amazon Macie job on the S3 bucket that has an Emp-\d{6} custom identifier.