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To be eligible for the Amazon DOP-C02 Certification Exam, individuals must have a minimum of two years of experience working with AWS services and at least one year of experience working with DevOps practices. Additionally, candidates must hold the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification.

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Amazon DOP-C02 Certification Exam is a valuable credential for individuals who want to demonstrate their expertise in the field of DevOps. It is recognized by employers and industry professionals as a mark of excellence in the field of DevOps. Individuals who pass the exam are eligible to use the AWS Certified DevOps Engineer - Professional badge on their resumes and LinkedIn profiles.

Amazon DOP-C02 exam is a professional-level certification offered by Amazon Web Services (AWS) that validates an individual's expertise in DevOps practices and techniques. DevOps is a rapidly growing approach to software development that emphasizes collaboration, automation, and continuous delivery. AWS Certified DevOps Engineer - Professional certification is designed for experienced DevOps professionals who have a deep understanding of AWS services and DevOps principles.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q384-Q389):

NEW QUESTION # 384
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?

A. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.
B. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request. Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.
C. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
D. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.

Answer: C

Explanation:
CodeCommit generates events in CloudWatch, CloudWatch triggers the CodeBuild https://aws.amazon.com/es/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws-codepipeline/

NEW QUESTION # 385
A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company's development team wants to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?

A. Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.
B. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.
C. Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.
D. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/quickstart/architecture/blue-green-deployment/

NEW QUESTION # 386
A company uses an organization in AWS Organizations with all features enabled to manage a fleet of AWS accounts. The company expects to create many new accounts for an upcoming project.
The company wants to ensure that the new accounts will not have default VPCs and that users can develop only in specific AWS Regions. The company must monitor the new accounts for compliance with the Center for Internet Security (CIS) AWS Foundations Benchmark framework.
Which combination of solutions will meet these requirements with the LEAST operational effort? (Select TWO.)

A. Write an SCP that denies access to all Regions except the specified Regions. Create an AWS Lambda function that assumes an IAM role by using the Organizations default service role in each member account to identify and delete default VPCs. Create an Amazon EventBridge rule that invokes the Lambda function when the company creates a new AWS account.
B. Activate the CIS AWS Foundations Benchmark framework on the Control Library panel in AWS Control Tower.
C. Activate AWS Control Tower. Install Customizations for AWS Control Tower (CfCT). Develop a custom AWS CloudFormation template to delete default VPCs. Configure Region denies, and ensure that users can access only the specified Regions.
D. Activate AWS Security Hub at the organization level. Select the CIS AWS Foundations Benchmark framework, and apply the framework to the organization.
E. Activate AWS Control Tower. Configure AWS Control Tower to disable internet-accessible subnets. Set the maximum number of private subnets to zero. Configure Region denies, and ensure that users can access only the specified Regions.

Answer: C,D

Explanation:
The company's requirements span preventive governance, account baseline configuration, and continuous compliance monitoring, all with minimal operational overhead. AWS-native, organization-level services are the most efficient way to meet these goals.
To ensure that new accounts do not retain default VPCs and that development is restricted to specific Regions, AWS Control Tower is the correct foundation. However, Control Tower alone does not remove default VPCs. By installing Customizations for AWS Control Tower (CfCT), the company can automatically deploy OU-scoped CloudFormation templates during account provisioning. A simple CloudFormation template can delete default VPCs in all Regions, while Control Tower-managed Region deny guardrails (SCPs) restrict access to only approved Regions. This approach is declarative, repeatable, and tightly integrated with account creation workflows, resulting in low operational overhead.
For CIS AWS Foundations Benchmark compliance monitoring, AWS Security Hub is the purpose-built service. Enabling Security Hub at the organization level and selecting the CIS benchmark automatically evaluates all member accounts against CIS controls and continuously reports findings. This provides centralized visibility and compliance reporting without custom rule development.
Option C introduces custom Lambda automation and EventBridge logic, increasing maintenance burden. Option E is incorrect because Control Tower does not provide full CIS benchmark monitoring; it only offers related detective guardrails.
Therefore, Option B (Control Tower + CfCT) and Option D (Security Hub with CIS benchmark) together provide the most efficient, scalable, and AWS-recommended solution.

NEW QUESTION # 387
A company's application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process dat a. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.
The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.
Which combination of steps will meet these requirements? (Select TWO.)

A. For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.
B. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.
C. For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.
D. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.
E. For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

Answer: A,B

Explanation:
For the critical data, using a warm pool1 can reduce the scale-out latency by having pre-initialized EC2 instances ready to serve the application traffic. Using On-Demand Instances can ensure that the instances are always available and not interrupted by Spot interruptions2.
For the noncritical data, using a second Auto Scaling group with Spot Instances can reduce the cost and leverage the unused capacity of EC23. Using a launch template with the CloudWatch agent4 can enable the collection of memory utilization metrics, which can be used to scale the group based on the memory demand. Adding the second group as a target group for the ALB and modifying the application to use two target groups can enable routing the traffic based on the data type.
1: Warm pools for Amazon EC2 Auto Scaling 2: Amazon EC2 On-Demand Capacity Reservations 3: Amazon EC2 Spot Instances 4: Metrics collected by the CloudWatch agent

NEW QUESTION # 388
A company is building a new pipeline by using AWS CodePipeline and AWS CodeBuild in a build account. The pipeline consists of two stages. The first stage is a CodeBuild job to build and package an AWS Lambda function. The second stage consists of deployment actions that operate on two different AWS accounts a development environment account and a production environment account. The deployment stages use the AWS Cloud Format ion action that CodePipeline invokes to deploy the infrastructure that the Lambda function requires.
A DevOps engineer creates the CodePipeline pipeline and configures the pipeline to encrypt build artifacts by using the AWS Key Management Service (AWS KMS) AWS managed key for Amazon S3 (the aws/s3 key). The artifacts are stored in an S3 bucket When the pipeline runs, the Cloud Formation actions fail with an access denied error.
Which combination of actions must the DevOps engineer perform to resolve this error? (Select TWO.)

A. Create an S3 bucket in each AWS account for the artifacts Allow the pipeline to write to the S3 buckets. Create a CodePipeline S3 action to copy the artifacts to the S3 bucket in each AWS account Update the CloudFormation actions to reference the artifacts S3 bucket in the production account.
B. Create a customer managed KMS key Configure the KMS key policy to allow the IAM roles used by the CloudFormation action to perform decrypt operations Modify the pipeline to use the customer managed KMS key to encrypt artifacts.
C. Create an AWS managed KMS key Configure the KMS key policy to allow the development account and the production account to perform decrypt operations. Modify the pipeline to use the KMS key to encrypt artifacts.
D. In the development account and in the production account create an IAM role for CodePipeline. Configure the roles with permissions to perform CloudFormation operations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipeline account configure the CodePipeline CloudFormation action to use the roles.
E. In the development account and in the production account create an IAM role for CodePipeline Configure the roles with permissions to perform CloudFormation

Answer: B,E

Explanation:
operations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipelme account modify the artifacts S3 bucket policy to allow the roles access Configure the CodePipeline CloudFormation action to use the roles.

NEW QUESTION # 389
......

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q384-Q389):

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