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  4. AWS Certified DevOps Engineer - Professional DOP-C02

Free AWS Certified DevOps Engineer - Professional DOP-C02 Exam Braindumps
AWS Certified DevOps Engineer - Professional DOP-C02 Questions 129–136 (page: 18)

Updated On: 27-Apr-2026
Page 18 of 57
PDF with 447 Questions

A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review. The DevOps manager has been asked to review the company buildspec.yaml file for an AWS CodeBuild project and provide recommendations. The buildspec.yaml file is configured as follows:



What changes should be recommended to comply with AWS security best practices? (Choose three.)

  1. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
  2. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
  3. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables.
  4. Move the environment variables to the `db-deploy-bucket' Amazon S3 bucket, add a prebuild stage to download, then export the variables.
  5. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.
  6. Scramble the environment variables using XOR followed by Base64, add a section to install, and then run XOR and Base64 to the build phase.

Answer(s): B,C,E



A company has a legacy application. A DevOps engineer needs to automate the process of building the deployable artifact for the legacy application. The solution must store the deployable artifact in an existing Amazon S3 bucket for future deployments to reference.

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

  1. Create a custom Docker image that contains all the dependencies for the legacy application. Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository. Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.
  2. Launch a new Amazon EC2 instance. Install all the dependencies for the legacy application on the EC2 instance. Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
  3. Create a custom EC2 Image Builder image. Install all the dependencies for the legacy application on the image. Launch a new Amazon EC2 instance from the image. Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
  4. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones. Create a custom Docker image that contains all the dependencies for the legacy application. Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository. Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 bucket.

Answer(s): A



A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an IAM service role that has permissions to access the S3 bucket.

A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project. The DevOps engineer adjusts the IAM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.

When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.

Which solution will resolve the issue of failed access to the ECR repository?

  1. Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.
  2. Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project's IAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.
  3. Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the IAM service role to have access.
  4. Update the buildspec.yml file to use the AWS CLI to assume the IAM service role for ECR operations. Add an ECR repository policy that allows the IAM service role to have access.

Answer(s): A



A company manually provisions IAM access for its employees. The company wants to replace the manual process with an automated process. The company has an existing Active Directory system configured with an external SAML 2.0 identity provider (IdP).

The company wants employees to use their existing corporate credentials to access AWS. The groups from the existing Active Directory system must be available for permission management in AWS Identity and Access Management (IAM). A DevOps engineer has completed the initial configuration of AWS IAM Identity Center (AWS Single Sign-On) in the company's AWS account.

What should the DevOps engineer do next to meet the requirements?

  1. Configure an external IdP as an identity source. Configure automatic provisioning of users and groups by using the SCIM protocol.
  2. Configure AWS Directory Service as an identity source. Configure automatic provisioning of users and groups by using the SAML protocol.
  3. Configure an AD Connector as an identity source. Configure automatic provisioning of users and groups by using the SCIM protocol.
  4. Configure an external IdP as an identity source Configure automatic provisioning of users and groups by using the SAML protocol.

Answer(s): A



A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.

The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.

A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.

Which solution will meet these requirements with the LEAST development overhead?

  1. Use CloudFormation drift detection to identify noncompliant resources. Use drift detection events from CloudFormation to invoke an AWS Lambda function for remediation. Configure the Lambda function to publish logs to an Amazon CloudWatch Logs log group. Configure an Amazon CloudWatch dashboard to use the log group for tracking.
  2. Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon Athena to identify noncompliant resources. Use AWS Step Functions to track query results on Athena for drift detection and to invoke an AWS Lambda function for remediation. For tracking, set up an Amazon QuickSight dashboard that uses Athena as the data source.
  3. Turn on the configuration recorder in AWS Config in all the AWS accounts to identify noncompliant resources. Enable AWS Security Hub with the --no-enable-default-standards option in all the AWS accounts. Set up AWS Config managed rules and custom rules. Set up automatic remediation by using AWS Config conformance packs. For tracking, set up a dashboard on Security Hub in a designated Security Hub administrator account.
  4. Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon CloudWatch Logs to identify noncompliant resources. Use CloudWatch Logs filters for drift detection. Use Amazon EventBridge to invoke the Lambda function for remediation. Stream filtered CloudWatch logs to Amazon OpenSearch Service. Set up a dashboard on OpenSearch Service for tracking.

Answer(s): C



A company uses AWS Organizations to manage its AWS accounts. The organization root has an OU that is named Environments. The Environments OU has two child OUs that are named Development and Production, respectively.

The Environments OU and the child OUs have the default FullAWSAccess policy in place. A DevOps engineer plans to remove the FullAWSAccess policy from the Development OU and replace the policy with a policy that allows all actions on Amazon EC2 resources.

What will be the outcome of this policy replacement?

  1. All users in the Development OU will be allowed all API actions on all resources.
  2. All users in the Development OU will be allowed all API actions on EC2 resources. All other API actions will be denied.
  3. All users in the Development OU will be denied all API actions on all resources.
  4. All users in the Development OU will be denied all API actions on EC2 resources. All other API actions will be allowed.

Answer(s): B



A company is examining its disaster recovery capability and wants the ability to switch over its daily operations to a secondary AWS Region. The company uses AWS CodeCommit as a source control tool in the primary Region.

A DevOps engineer must provide the capability for the company to develop code in the secondary Region. If the company needs to use the secondary Region, developers can add an additional remote URL to their local Git configuration.

Which solution will meet these requirements?

  1. Create a CodeCommit repository in the secondary Region. Create an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's CodeCommit repository. Create an AWS Lambda function that invokes the CodeBuild project. Create an Amazon EventBridge rule that reacts to merge events in the primary Region's CodeCommit repository.
    Configure the EventBridge rule to invoke the Lambda function.
  2. Create an Amazon S3 bucket in the secondary Region. Create an AWS Fargate task to perform a Git mirror operation of the primary Region's CodeCommit repository and copy the result to the S3 bucket. Create an AWS Lambda function that initiates the Fargate task. Create an Amazon EventBridge rule that reacts to merge events in the CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.
  3. Create an AWS CodeArtifact repository in the secondary Region. Create an AWS CodePipeline pipeline that uses the primary Region's CodeCommit repository for the source action. Create a cross-Region stage in the pipeline that packages the CodeCommit repository contents and stores the contents in the CodeArtifact repository when a pull request is merged into the CodeCommit repository.
  4. Create an AWS Cloud9 environment and a CodeCommit repository in the secondary Region. Configure the primary Region's CodeCommit repository as a remote repository in the AWS Cloud9 environment. Connect the secondary Region's CodeCommit repository to the AWS Cloud9 environment.

Answer(s): A



A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.

Which solution will meet these requirements?

  1. Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database, run integration tests, and drop the restored database after verification.
  2. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
  3. Create a snapshot of the DB cluster before deploying the application. Use the Update requires:Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.
  4. Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to
    the standby instance if verification fails.

Answer(s): A



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