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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 DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.

Which solution will meet these requirements ' ?

Options:

A.

Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.

B.

Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.

C.

Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.

D.

Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.

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Question 2

A company has multiple AWS accounts. The company uses AWS IAM Identity Center that is integrated with a third-party SAML 2.0 identity provider (IdP) .

The attributes for access control feature is enabled in IAM Identity Center. The attribute mapping list maps the department key from the IdP to the ${path:enterprise.department} attribute. All existing Amazon EC2 instances have a d1 , d2 , or d3 department tag that corresponds to three of the company’s departments.

A DevOps engineer must create policies based on the matching attributes. The policies must grant each user access to only the EC2 instances that are tagged with the user’s respective department name.

Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?

Options:

A.

" Condition " : {

" ForAllValues:StringEquals " : {

" aws:TagKeys " : [ " department " ]

}

}

B.

" Condition " : {

" StringEquals " : {

" aws:PrincipalTag/department " : " ${aws:ResourceTag/department} "

}

}

C.

" Condition " : {

" StringEquals " : {

" ec2:ResourceTag/department " : " ${aws:PrincipalTag/department} "

}

}

D.

" Condition " : {

" ForAllValues:StringEquals " : {

" ec2:ResourceTag/department " : [ " d1 " , " d2 " , " d3 " ]

}

}

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.