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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 manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.

Which actions should be taken to accomplish this? (Choose two.)

Options:

A.

Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.

B.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.

C.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.

D.

Modify the on-premises application to send log information back to API Gateway with each request.

E.

Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.

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Question 2

A DevOps engineer uses AWS Control Tower to deploy multiple AWS accounts to support business, technical, and administrative units in a company. A security team needs the DevOps engineer to automate AWS Control Tower guardrails for the company. The guardrails must be applied to all accounts in an OU of the company’s organization in AWS Organizations.

The security team needs a solution that has version control features. The security team must be able to review and roll back versions when necessary. The security team will manage the solution in the security team’s OU. The security team wants to specify the types of guardrails that are allowed. The security team wants to allow only new guardrails that the security team approves.

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

Options:

A.

Create an AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure an AWS CodeBuild project that clones the Git repository and applies the template.

B.

Create an individual AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each account in the organization. Configure a pipeline in AWS CodePipeline in the security team ' s account. Ensure that the security team manually invokes the pipeline and specifies the guardrail parameters when

C.

Create an individual AWS CloudFormation template for required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure a pipeline in AWS CodePipeline in the security team ' s account. Configure an Amazon EventBridge rule to initiate the pipeline in response to merges to the security team ' s Git r

D.

Create a pipeline in AWS CodePipeline in the security team ' s account. Add an Amazon EventBridge rule to the pipeline that matches on PutObject events to an Amazon S3 bucket. Create an individual AWS CloudFormation template for each required guardrail. Store the templates in the S3 bucket. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization.

Question 3

A company has a mission-critical application on AWS that uses automatic scaling The company wants the deployment lilecycle to meet the following parameters.

• The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic

• The application is CPU intensive and must be closely monitored

• The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.

Which solution will meet these requirements?

Options:

A.

Use AWS CloudFormalion to create an AWS Step Functions state machine and Auto Scaling hfecycle hooks to move to one instance at a time into a wait state Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

B.

Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

C.

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.

D.

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached