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AWS Certified DevOps Engineer - Professional

Last Update 14 hours ago Total Questions : 449

The AWS Certified DevOps Engineer - Professional content is now fully updated, with all current exam questions added 14 hours ago. Deciding to include DOP-C02 practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our DOP-C02 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these DOP-C02 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any AWS Certified DevOps Engineer - Professional practice test comfortably within the allotted time.

Question # 51

A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.

The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers’ IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.

What should the company do to restrict the developers’ ability to push changes to the main branch directly?

A.

Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a con

B.

Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.

C.

Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.

D.

Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.

Question # 52

A software as a service (SaaS) company uses an Amazon Elastic Container Service (Amazon ECS) cluster behind an Application Load Balancer (ALB) to provide real-time analytics services to clients. The company is using AWS CodePipeline and AWS CodeDeploy to set up a blue/green deployment process for the solution.

The company wants the deployment process to automatically shift traffic in equal increments over a specified total deployment time without any manual intervention. The deployment must ensure zero downtime and provide seamless traffic shifting.

Which solution will meet these requirements?

A.

Set the TrafficRoutingConfig parameter to TimeBasedLinear in the appspec.yaml file of the CodeDeploy application that the company uses to deploy the ECS services. Set values for the linearPercentage parameter and the linearInterval parameter.

B.

Update the TrafficRoutingConfig parameter of the appspec.yaml file of the CodeDeploy application that the company uses to deploy the ECS services to the AllAtOnce type.

C.

Create a deployment group configuration. Set the TrafficRoutingConfig parameter to the TimeBasedCanary type. Configure listener rules on the ALB to forward traffic to the target groups based on specified weights.

D.

Set up a deployment configuration in CodeDeploy. Configure weighted routing on the ALB during deployment.

Question # 53

A DevOps administrator is responsible for managing the security of a company ' s Amazon CloudWatch Logs log groups. The company’s security policy states that employee IDs must not be visible in logs except by authorized personnel. Employee IDs follow the pattern of Emp-XXXXXX, where each X is a digit.

An audit discovered that employee IDs are found in a single log file. The log file is available to engineers, but the engineers are not authorized to view employee IDs. Engineers currently have an AWS IAM Identity Center permission that allows logs:* on all resources in the account.

The administrator must mask the employee ID so that new log entries that contain the employee ID are not visible to unauthorized personnel.

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

A.

Create a new data protection policy on the log group. Add an Emp-\d{6} custom data identifier configuration. Create an IAM policy that has a Deny action for the " Action " : " logs:Unmask " permission on the resource. Attach the policy to the engineering accounts.

B.

Create a new data protection policy on the log group. Add managed data identifiers for the personal data category. Create an IAM policy that has a Deny action for the " NotAction " : " logs:Unmask " permission on the resource. Attach the policy to the engineering accounts.

C.

Create an AWS Lambda function to parse a log file entry, remove the employee ID, and write the results to a new log file. Create a Lambda subscription filter on the log group and select the Lambda function. Grant the lambda:InvokeFunction permission to the log group.

D.

Create an Amazon Data Firehose delivery stream that has an Amazon S3 bucket as the destination. Create a Firehose subscription filter on the log group that uses the Firehose delivery stream. Remove the " logs:* " permission on the engineering accounts. Create an Amazon Macie job on the S3 bucket that has an Emp-\d{6} custom identifier.

Question # 54

A company is building a serverless application that uses AWS Lambda functions to process data.

A BeginResponse Lambda function initializes data in response to specific application events. The company needs to ensure that a large number of Lambda functions are invoked after the BeginResponse Lambda function runs. Each Lambda function must be invoked in parallel and depends on only the outputs of the BeginResponse Lambda function. Each Lambda function has retry logic for invocation and must be able to fine-tune concurrency without losing data.

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

A.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Modify the BeginResponse Lambda function to publish to the SNS topic before the BeginResponse Lambda function finishes running. Subscribe all Lambda functions that need to invoke after the BeginResponse Lambda function runs to the SNS topic. Subscribe any new Lambda functions to the SNS topic.

B.

Create an Amazon Simple Queue Service (Amazon SQS) queue for each Lambda function that needs to run after the BeginResponse Lambda function runs. Subscribe each Lambda function to its own SQS queue. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe each SQS queue to the SNS topic. Modify the BeginResponse function to publish to the SNS topic when it finishes running.

C.

Create an Amazon Simple Queue Service (Amazon SQS) queue for each Lambda function that needs to run after the BeginResponse Lambda function runs. Subscribe the Lambda function to the SQS queue. Create an Amazon Simple Notification Service (Amazon SNS) topic for each SQS queue. Subscribe the SQS queues to the SNS topics. Modify the BeginResponse function to publish to the SNS topics when the function finishes running.

D.

Create an AWS Step Functions Standard Workflow. Configure states in the workflow to invoke the Lambda functions sequentially. Create an Amazon Simple Notification Service (Amazon SNS) topic. Modify the BeginResponse Lambda function to publish to the SNS topic before the Lambda function finishes running. Create a new Lambda function that is subscribed to the SNS topic and that invokes the Step Functions workflow.

Question # 55

A DevOps team deploys an ECS app behind an ALB using CodeDeploy with all-at-once strategy. Recent deployment increased response times, requiring rollback. The team wants a deployment strategy to monitor new versions before full traffic shift and rollback quickly if issues occur.

Which steps meet these requirements? (Select TWO.)

A.

Use CodeDeployDefault.ECSCanary10Percent5Minutes deployment configuration.

B.

Use CodeDeployDefault.ECSLinear10PercentEvery3Minutes deployment configuration.

C.

Create a CloudWatch alarm on ALB UnHealthyHostCount and associate it with the deployment group for rollback.

D.

Create a CloudWatch alarm on ALB TargetResponseTime and associate it with the deployment group for rollback.

E.

Create a CloudWatch alarm on ALB TargetConnectionErrorCount and associate it with the deployment group for rollback.

Question # 56

A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company ' s ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.

The company ' s ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.

Which solution will fix the problem?

A.

Add an IAM trust policy to the IAM role that establishes Amazon ECS as a trusted service.

B.

Add the logs:PutDestination permission to the policy applied to the IAM role.

C.

Remove the logs:CreateLogStream permission from the policy applied to the IAM role.

D.

Add an IAM trust policy to the IAM role that establishes CloudWatch as a trusted service.

Question # 57

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?

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.

Question # 58

A company runs a development environment website and database on an Amazon EC2 instance that uses Amazon Elastic Block Store (Amazon EBS) storage. The company wants to make the instance more resilient to underlying hardware issues. The company wants to automatically recover the EC2 instance if AWS determines the instance has lost network connectivity.

Which solution will meet these requirements?

A.

Add the EC2 instance to an Auto Scaling group. Set the minimum, maximum, and desired capacity to 1.

B.

Add the EC2 instance to an Auto Scaling group. Configure a lifecycle hook to detach the EBS volume if the EC2 instance shuts down or terminates.

C.

Create an Amazon CloudWatch alarm for the StatusCheckFailed_System metric. Add an EC2 action to recover the instance when the alarm state is in ALARM.

D.

Create an Amazon CloudWatch alarm for the NetworkOut metric. Add an EC2 action to recover the instance when the alarm state is in INSUFFICIENT_DATA.

Question # 59

A company runs an application in an Amazon Elastic Container Service (Amazon ECS) service that is associated with an Elastic Load Balancing (ELB) target group. A DevOps engineer updates the service to include a new task definition version. The DevOps engineer notices that the deployment does not finish running. New tasks enter a stopped state soon after the tasks launch. The task definition references an Amazon CloudWatch Logs log group.

Which issues are most likely the cause of the failing deployment? (Select TWO.)

A.

The target group health check is failing, which causes Amazon ECS to stop the tasks.

B.

The IAM role that the DevOps engineer used to update the ECS service does not have the Amazon ECS RunTask permission.

C.

The CloudWatch Logs log group that is referenced in the task definition does not exist.

D.

The task role does not have the required permissions to launch the task.

E.

An essential container in the ECS task is exiting.

Question # 60

A company ' s DevOps engineer is working in a multi-account environment. The company uses AWS Transit Gateway to route all outbound traffic through a network operations account. In the network operations account all account traffic passes through a firewall appliance for inspection before the traffic goes to an internet gateway.

The firewall appliance sends logs to Amazon CloudWatch Logs and includes event seventies of CRITICAL, HIGH, MEDIUM, LOW, and INFO. The security team wants to receive an alert if any CRITICAL events occur.

What should the DevOps engineer do to meet these requirements?

A.

Create an Amazon CloudWatch Synthetics canary to monitor the firewall state. If the firewall reaches a CRITICAL state or logs a CRITICAL event use a CloudWatch alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the security team ' s email address to the topic.

B.

Create an Amazon CloudWatch metric filter by using a search for CRITICAL events Publish a custom metric for the finding. Use a CloudWatch alarm based on the custom metric to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team ' s email address to the topic.

C.

Enable Amazon GuardDuty in the network operations account. Configure GuardDuty to monitor flow logs Create an Amazon EventBridge event rule that is invoked by GuardDuty events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team ' s email address to the topic.

D.

Use AWS Firewall Manager to apply consistent policies across all accounts. Create an Amazon. EventBridge event rule that is invoked by Firewall Manager events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team ' s email address to the topic.

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