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The AWS Certified DevOps Engineer - Professional (DOP-C02)

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DOP-C02 Exam Dumps
  • Exam Code: DOP-C02
  • Vendor: Amazon Web Services
  • Certifications: AWS Certified Professional
  • Exam Name: AWS Certified DevOps Engineer - Professional
  • Updated: Jun 10, 2026 Free Updates: 90 days Total Questions: 425 Try Free Demo

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Amazon Web Services DOP-C02 Exam Domains Q&A

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Question 1 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

The security team depends on AWS CloudTrail to detect sensitive security issues in the company ' s AWS account. The DevOps engineer needs a solution to auto-remediate CloudTrail being turned off in an AWS account.

What solution ensures the LEAST amount of downtime for the CloudTrail log deliveries?

  • A.

    Create an Amazon EventBridge rule for the CloudTrail StopLogging event. Create an AWS Lambda (unction that uses the AWS SDK to call StartLogging on the ARN of the resource in which StopLogging was called. Add the Lambda function ARN as a target to the EventBridge rule.

  • B.

    Deploy the AWS-managed CloudTrail-enabled AWS Config rule set with a periodic interval to 1 hour. Create an Amazon EventBridge rule tor AWS Config rules compliance change. Create an AWS Lambda function that uses the AWS SDK to call StartLogging on the ARN of the resource in which StopLoggmg was called. Add the Lambda function ARN as a target to the EventBridge rule.

  • C.

    Create an Amazon EventBridge rule for a scheduled event every 5 minutes. Create an AWS Lambda function that uses the AWS SDK to call StartLogging on a CloudTrail trail in the AWS account. Add the Lambda function ARN as a target to the EventBridge rule.

  • D.

    Launch a t2 nano instance with a script running every 5 minutes that uses the AWS SDK to query CloudTrail in the current account. If the CloudTrail trail is disabled have the script re-enable the trail.

Correct Answer & Rationale:

Answer: A

Explanation:

https://aws.amazon.com/blogs/mt/monitor-changes-and-auto-enable-logging-in-aws-cloudtrail/

Question 2 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company has an application that runs on a fleet of Amazon EC2 instances. The application requires frequent restarts. The application logs contain error messages when a restart is required. The application logs are published to a log group in Amazon CloudWatch Logs.

An Amazon CloudWatch alarm notifies an application engineer through an Amazon Simple Notification Service (Amazon SNS) topic when the logs contain a large number of restart-related error messages. The application engineer manually restarts the application on the instances after the application engineer receives a notification from the SNS topic.

A DevOps engineer needs to implement a solution to automate the application restart on the instances without restarting the instances.

Which solution will meet these requirements in the MOST operationally efficient manner?

  • A.

    Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Configure the SNS topic to invoke the runbook.

  • B.

    Create an AWS Lambda function that restarts the application on the instances. Configure the Lambda function as an event destination of the SNS topic.

  • C.

    Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Create an AWS Lambda function to invoke the runbook. Configure the Lambda function as an event destination of the SNS topic.

  • D.

    Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Configure an Amazon EventBridge rule that reacts when the CloudWatch alarm enters ALARM state. Specify the runbook as a target of the rule.

Correct Answer & Rationale:

Answer: D

Explanation:

This solution meets the requirements in the most operationally efficient manner by automating the application restart process on the instances without restarting them. When the CloudWatch alarm enters the ALARM state, the EventBridge rule is triggered, which in turn invokes the Systems Manager Automation runbook that contains the script to restart the application on the instances.

Question 3 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company is developing a web application ' s infrastructure using AWS CloudFormation The database engineering team maintains the database resources in a Cloud Formation template, and the software development team maintains the web application resources in a separate CloudFormation template. As the scope of the application grows, the software development team needs to use resources maintained by the database engineering team However, both teams have their own review and lifecycle management processes that they want to keep. Both teams also require resource-level change-set reviews. The software development team would like to deploy changes to this template using their Cl/CD pipeline.

Which solution will meet these requirements?

  • A.

    Create a stack export from the database CloudFormation template and import those references into the web application CloudFormation template

  • B.

    Create a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.

  • C.

    Create a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks.

  • D.

    Create input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.

Correct Answer & Rationale:

Answer: A

Explanation:

 Stack Export and Import:

Use the Export feature in CloudFormation to share outputs from one stack (e.g., database resources) and use them as inputs in another stack (e.g., web application resources).

 Steps to Create Stack Export:

Define the resources in the database CloudFormation template and use the Outputs section to export necessary values.

Outputs:

DBInstanceEndpoint:

Value: !GetAtt DBInstance.Endpoint.Address

Export:

Name: DBInstanceEndpoint

Steps to Import into Web Application Stack:

In the web application CloudFormation template, use the ImportValue function to import these exported values.

Resources:

MyResource:

Type: " AWS::SomeResourceType "

Properties:

SomeProperty: !ImportValue DBInstanceEndpoint

Resource-Level Change-Set Reviews:

Both teams can continue using their respective review processes, as changes to each stack are managed independently.

Use CloudFormation change sets to preview changes before deploying.

By exporting resources from the database stack and importing them into the web application stack, both teams can maintain their separate review and lifecycle management processes while sharing necessary resources.

[References:, AWS CloudFormation Export, AWS CloudFormation ImportValue, , , , ]

Question 4 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). A DevOps engineer is using AWS CodeDeploy to release a new version. The deployment fails during the AlIowTraffic lifecycle event, but a cause for the failure is not indicated in the deployment logs.

What would cause this?

  • A.

    The appspec. yml file contains an invalid script that runs in the AllowTraffic lifecycle hook.

  • B.

    The user who initiated the deployment does not have the necessary permissions to interact with the ALB.

  • C.

    The health checks specified for the ALB target group are misconfigured.

  • D.

    The CodeDeploy agent was not installed in the EC2 instances that are pad of the ALB target group.

Correct Answer & Rationale:

Answer: C

Explanation:

This failure is typically due to incorrectly configured health checks in Elastic Load Balancing for the Classic Load Balancer, Application Load Balancer, or Network Load Balancer used to manage traffic for the deployment group. To resolve the issue, review and correct any errors in the health check configuration for the load balancer. https://docs.aws.amazon.com/codedeploy/latest/userguide/troubleshooting-deployments.html#troubleshooting-deployments-allowtraffic-no-logs

Question 5 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

  • A.

    Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

  • B.

    Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

  • C.

    Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

  • D.

    Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Correct Answer & Rationale:

Answer: A

Explanation:

" Note that the metric filter is different from a log insights query, where the experience is interactive and provides immediate search results for the user to investigate. No automatic action can be invoked from an insights query. Metric filters, on the other hand, will generate metric data in the form of a time series. This lets you create alarms that integrate into your ITSM processes, execute AWS Lambda functions, or even create anomaly detection models. " https://aws.amazon.com/blogs/mt/quantify-custom-application-metrics-with-amazon-cloudwatch-logs-and-metric-filters/

Question 6 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A DevOps engineer needs a resilient CI/CD pipeline that builds container images, stores them in ECR, scans images for vulnerabilities, and is resilient to outages in upstream source image repositories.

Which solution meets this?

  • A.

    Create a private ECR repo, scan images on push, replicate images from upstream repos with a replication rule.

  • B.

    Create a public ECR repo to cache images from upstream repos, create a private repo to store images, scan images on push.

  • C.

    Create a public ECR repo, configure a pull-through cache rule, create a private repo to store images, enable basic scanning.

  • D.

    Create a private ECR repo, enable basic scanning, create a pull-through cache rule.

Correct Answer & Rationale:

Answer: D

Explanation:

    ECR pull-through cache caches images from upstream repositories for resilience.

    Private repo with basic scanning ensures vulnerability detection on pushed images.

    Enabling pull-through caching on a private repo combines caching and vulnerability scanning seamlessly.

    Public repos do not support pull-through caching of upstream images.

    Replication rules are for multi-Region replication, not upstream caching.

[References:, Amazon ECR Pull Through Cache, Amazon ECR Image Scanning, ]

Question 7 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company uses AWS Storage Gateway in file gateway mode in front of an Amazon S3 bucket that is used by multiple resources. In the morning when business begins, users do not see the objects processed by a third party the previous evening. When a DevOps engineer looks directly at the S3 bucket, the data is there, but it is missing in Storage Gateway.

Which solution ensures that all the updated third-party files are available in the morning?

  • A.

    Configure a nightly Amazon EventBridge event to invoke an AWS Lambda function to run the RefreshCache command for Storage Gateway.

  • B.

    Instruct the third party to put data into the S3 bucket using AWS Transfer for SFTP.

  • C.

    Modify Storage Gateway to run in volume gateway mode.

  • D.

    Use S3 Same-Region Replication to replicate any changes made directly in the S3 bucket to Storage Gateway.

Correct Answer & Rationale:

Answer: A

Explanation:

https://docs.aws.amazon.com/storagegateway/latest/APIReference/API_RefreshCache.html " It only updates the cached inventory to reflect changes in the inventory of the objects in the S3 bucket. This operation is only supported in the S3 File Gateway types. "

Question 8 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company has a public application that uses an Amazon API Gateway REST API, an AWS Lambda function, and an Amazon RDS for PostgreSQL DB cluster. Users have recently received error messages as application demand increased.

The company ' s DevOps engineer discovered that the errors were caused by RDS connection limits being reached. The DevOps engineer also discovered that more than 90% of the API requests are GET requests that read from the DB cluster.

How should the DevOps engineer solve this problem with the LEAST development effort?

  • A.

    Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.

  • B.

    Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.

  • C.

    Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.

  • D.

    Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.

Correct Answer & Rationale:

Answer: B

Explanation:

The root cause of the problem is that the RDS PostgreSQL instance is exceeding its database connection limit due to high volumes of concurrent GET requests. The most efficient and lowest-effort remediation is to reduce the number of connections that reach the database and serve as many reads as possible from a cache layer. Option B accomplishes both goals with minimal changes to the existing architecture.

First, RDS Proxy manages database connections efficiently by pooling and reusing them. This reduces connection churn and prevents the Lambda function from opening excessive concurrent connections during traffic spikes. RDS Proxy is natively integrated with RDS and requires only minor configuration changes without altering application logic.

Second, enabling API Gateway caching allows caching GET responses directly at the API layer. Because over 90% of requests are GET operations, enabling caching drastically reduces traffic hitting both Lambda and RDS, significantly improving performance and lowering connection pressure.

Option C also improves read scaling, but adding ElastiCache introduces additional infrastructure and requires modifying application code to query Redis before querying the database. This is more complex than enabling API Gateway caching. Options A and D require full database migration, which is far more labor-intensive.

Option B is the simplest, most effective, and most aligned with AWS best practices for reducing RDS connection saturation.

Question 9 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

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.

Correct Answer & Rationale:

Answer: C

Explanation:

The default CPU utilization metric does not reflect the processing backlog in the SQS queue, so the Auto Scaling group is not scaling properly to handle the workload.

To scale the Auto Scaling group based on queue length, you can create a target tracking scaling policy that uses a custom metric that combines the SQS queue ' s ApproximateNumberOfMessagesVisible and the number of instances (GroupIn-ServiceInstances) metric using CloudWatch metric math. This allows the scaling policy to calculate the average number of messages per instance and scale accordingly.

This approach requires no additional Lambda functions or log processing, thus minimizing operational overhead.

Option A and B require Lambda functions to publish custom metrics, which increases operational complexity. Option D also adds complexity with logging and metric filters.

[Reference:, Scaling based on SQS queue length using metric math:"You can create CloudWatch metric math expressions combining SQS and Auto Scaling group metrics to enable target tracking scaling policies that respond to queue backlog."(AWS Auto Scaling with SQS), Target Tracking Scaling Policies:"Target tracking policies can use metric math expressions as a source to make scaling decisions."(AWS Auto Scaling Target Tracking), , , ]

Question 10 Amazon Web Services DOP-C02
QUESTION DESCRIPTION:

A company ' s organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance ' s credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.

Which solution will meet these requirements?

  • A.

    Create an SCP that specifies the VPC CIDR block. Configure the SCP to check whether the value of the aws:VpcSourcelp condition key is in the specified block. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and aws:SourceVpc condition keys are the same. Deny access if either condition is false. Apply the SCP to the OU.

  • B.

    Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and awsVpcSourcelp condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.

  • C.

    Create an SCP that includes a list of acceptable VPC values and checks whether the value of the aws:SourceVpc condition key is in the list. In the same SCP check, define a list of acceptable IP address values and check whether the value of the aws:VpcSourcelp condition key is in the list. Deny access if either condition is false. Apply the SCP to each account in the organization.

  • D.

    Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:VpcSourcelp condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatolPv4 and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. Apply the SCP to each account in the organization.

Correct Answer & Rationale:

Answer: B

Explanation:

Step 1: Using Service Control Policies (SCPs) for EC2 SecurityTo limit the use of EC2 instance credentials to the specific EC2 instance they are assigned to, you can create a Service Control Policy (SCP) that verifies specific conditions, such as whether the EC2 instance ' s source VPC and private IP match expected values.

Action: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if they are not.

Why: This ensures that credentials cannot be used outside the designated EC2 instance or VPC.

Step 2: Further Validation with Private IPsThe SCP should also verify that the EC2 instance ' s private IP matches the IP range specified for the VPC. If the instance ' s private IP does not match, access should be denied.

Action: In the same SCP, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:VpcSourceIP condition keys are the same. Deny access if they are not.

Why: This ensures that the credentials are only used within the specific EC2 instance and its associated VPC.

[Reference: AWS documentation on Service Control Policies (SCPs)., This corresponds to Option B: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:VpcSourceIP condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU., , , ]

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This Amazon Web Services DOP-C02 study pack was audited and verified on June 11, 2026 by Gene Whitlock,. We ensure every technical rationale aligns with real-world enterprise standards.

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