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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 deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeConnections compatible Git repository.

When the company merges code to the main branch, an AWS CodeBuild project is initiated. The CodeBuild project compiles the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances.

Previous deployments have resulted in defects, EC2 instances that were not running the latest version of the packaged code, and inconsistencies between instances. A DevOps engineer needs to improve the reliability of the deployment solution.

Which combination of actions will meet this requirement? (Select TWO.)

Options:

A.

Create a pipeline in AWS CodePipeline that uses the Git repository as the source provider. Configure the pipeline to have parallel build and test stages. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

B.

Create a pipeline in AWS CodePipeline that uses the Git repository as the source provider. Configure the pipeline to have a build stage followed by a test stage. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

C.

Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.

D.

Create individual AWS Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.

E.

Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy.

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Question 2

A DevOps team supports an application that runs on a large number of Amazon EC2 instances in an Auto Scaling group. The DevOps team uses AWS CloudFormation to deploy the EC2 instances. The application recently experienced an issue. A single instance returned errors to a large percentage of requests. The EC2 instance responded as healthy to both Amazon EC2 and Elastic Load Balancing health checks. The DevOps team collects application logs in Amazon CloudWatch by using the embedded metric format. The DevOps team needs to receive an alert if any EC2 instance is responsible for more than half of all errors. Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

A.

Create a CloudWatch Contributor Insights rule that groups logs from the CloudWatch application logs based on instance ID and errors.

B.

Create a resource group in AWS Resource Groups. Use the CloudFormation stack to group the resources for the application. Add the application to CloudWatch Application Insights. Use the resource group to identify the application.

C.

Create a metric filter for the application logs to count the occurrence of the term " Error. " Create a CloudWatch alarm that uses the METRIC_COUNT function to determine whether errors have occurred. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

D.

Create a CloudWatch alarm that uses the INSIGHT_RULE_METRIC function to determine whether a specific instance is responsible for more than half of all errors reported by EC2 instances. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

E.

Create a CloudWatch subscription filter for the application logs that filters for errors and invokes an AWS Lambda function. Configure the Lambda function to send the instance ID and error in a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

Question 3

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 " ]

}

}