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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 application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue.

A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to Amazon CloudWatch Logs.

The DevOps engineer needs to ensure that the queue is processed quickly.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scal

B.

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that

C.

Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.

D.

Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.

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Question 2

A DevOps engineer uses AWS CodeBuild to frequently produce software packages. The CodeBuild project builds large Docker images that the DevOps engineer can use across multiple builds. The DevOps engineer wants to improve build performance and minimize costs. Which solution will meet these requirements?

Options:

A.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

B.

Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.

C.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.

D.

Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.

Question 3

A company uses AWS Systems Manager to manage a fleet of Amazon Linux EC2 instances that have SSM Agent installed. All EC2 instances are configured to use Instance Metadata Service Version 2 (IMDSv2) and are running in the same AWS account and AWS Region. Company policy requires developers to use only Amazon Linux.

The company wants to ensure that all new EC2 instances are automatically managed by Systems Manager after creation.

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

Options:

A.

Create an IAM role that has a trust policy that allows Systems Manager to assume the role. Attach the AmazonSSMManagedEC2InstanceDefaultPolicy policy to the role. Configure the default-ec2-instance-management-role SSM service setting to use the role.

B.

Ensure that AWS Config is set up. Create an AWS Config rule that validates if an EC2 instance has SSM Agent installed. Configure the rule to run on EC2 configuration changes. Configure automatic remediation for the rule to run the AWS-InstallSSMAgent SSM document to install SSM Agent.

C.

Configure Systems Manager Patch Manager. Create a patch baseline that automatically installs SSM Agent on all new EC2 instances. Create a patch group for all EC2 instances. Attach the patch baseline to the patch group. Create a maintenance window and maintenance window task to start installing SSM Agent daily.

D.

Create an EC2 instance role that has a trust policy that allows Amazon EC2 to assume the role. Attach the AmazonSSMManagedInstanceCore policy to the role. Ensure that AWS Config is set up. Use the ec2-instance-profile-attached managed AWS Config rule to validate if an EC2 instance has the role attached. Configure the rule to run on EC2 configuration changes. Configure automatic remediation for the rule to run the AWS-SetupManagedRoleOnEc2In