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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 has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.

Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.

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

Options:

A.

Create a domain in each application team's account. Grant each application team's account lull read access and write access to the application team's domain

B.

Create a domain in the shared services account Grant the organization read access and CreateRepository access.

C.

Create a repository in each application team's account. Grant each application team's account lull read access and write access to its own repository.

D.

Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.

E.

For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.

F.

Set the other application teams' repositories as upstream repositories.

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Question 2

A highly regulated company has a policy that DevOps engineers should not log in to their Amazon EC2 instances except in emergencies. It a DevOps engineer does log in the security team must be notified within 15 minutes of the occurrence.

Which solution will meet these requirements'?

Options:

A.

Install the Amazon Inspector agent on each EC2 instance Subscribe to Amazon EventBridge notifications Invoke an AWS Lambda function to check if a message is about user logins If it is send a notification to the security team using Amazon SNS.

B.

Install the Amazon CloudWatch agent on each EC2 instance Configure the agent to push all logs to Amazon CloudWatch Logs and set up a CloudWatch metric filter that searches for user logins. If a login is found send a notification to the security team using Amazon SNS.

C.

Set up AWS CloudTrail with Amazon CloudWatch Logs. Subscribe CloudWatch Logs to Amazon Kinesis Attach AWS Lambda to Kinesis to parse and determine if a log contains a user login If it does, send a notification to the security team using Amazon SNS.

D.

Set up a script on each Amazon EC2 instance to push all logs to Amazon S3 Set up an S3 event to invoke an AWS Lambda function which invokes an Amazon Athena query to run. The Athena query checks tor logins and sends the output to the security team using Amazon SNS.

Question 3

A company has a workflow that generates a file for each of the company's products and stores the files in a production environment Amazon S3 bucket. The company's users can access the S3 bucket.

Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.

The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.

Which solution will meet these requirements?

Options:

A.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

B.

Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.

C.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

D.

Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.