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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) certification exam is designed for professionals who have experience in the field of DevOps and are looking to validate their skills and knowledge. AWS Certified DevOps Engineer - Professional certification is targeted towards individuals who have a deep understanding of the AWS cloud platform and its services.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q237-Q242):

NEW QUESTION # 237
A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.
The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

A. Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider
B. Add an appspec.yml file to the CodeCommit repository
C. Add a deploy stage to the pipeline Configure Amazon ECS as the action provider
D. Create an AWS Lambda function that runs connectivity checks and API calls against the service.
Integrate the Lambda function with CodePipeline by using aLambda action stage
E. Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.
F. Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket.
Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.

Answer: C,D,E

Explanation:
Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:
By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.
This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.
Reference: AWS CodePipeline with ECS
Update the Image Build Pipeline Stage to Output an imagedefinitions.json File that References the New Image Tag:
The imagedefinitions.json file provides the necessary information about the container images and their tags for the ECS task definitions.
Updating the pipeline to output this file ensures that the correct image version is deployed.
Example imagedefinitions.json
[
{
"name": "container-name",
"imageUri": "123456789012.dkr.ecr.region.amazonaws.com/my-repo:my-tag"
}
]
Reference: CodePipeline ECS Deployment
Create an AWS Lambda Function that Runs Connectivity Checks and API Calls against the Service.
Integrate the Lambda Function with CodePipeline by Using a Lambda Action Stage:
The Lambda function can perform the necessary integration tests by making connectivity checks and API calls to the deployed service endpoint.
Integrating this Lambda function into CodePipeline ensures that these tests are run automatically after deployment, providing near-real-time feedback on the new deployment's health.
Example Lambda function integration:
actions:
- name: TestService
actionTypeId:
category: Test
owner: AWS
provider: Lambda
version: 1
runOrder: 2
configuration:
FunctionName: testServiceFunction
Reference: Integrating Lambda with CodePipeline
These steps ensure that the CI/CD workflow deploys the new container image to ECS, updates the image references, and performs integration tests, meeting the requirements with minimal management overhead.

NEW QUESTION # 238
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?

A. 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.
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. Implement a local Docker layer cache for CodeBuild.
D. Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.

Answer: C

Explanation:
Step 1: Storing Docker Images in Amazon ECR
Docker images can be large, and storing them in a centralized, scalable location can greatly reduce build times. Amazon Elastic Container Registry (ECR) is a fully managed container registry that stores, manages, and deploys Docker container images.
Action: Store the Docker images in an ECR repository.
Why: Storing Docker images in ECR ensures that Docker images can be reused across multiple builds, improving build performance by avoiding the need to rebuild the images from scratch.
Reference:
Step 2: Implementing Docker Layer Caching in CodeBuild
Docker layer caching is essential for improving performance in continuous integration pipelines. CodeBuild supports local caching of Docker layers, which speeds up builds that reuse Docker images across multiple runs.
Action: Implement Docker layer caching within the CodeBuild project.
Why: This improves performance by allowing frequently used Docker layers to be cached locally, avoiding the need to pull or build the layers every time.
This corresponds to Option A: Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

NEW QUESTION # 239
A DevOps engineer needs to configure a blue green deployment for an existing three-tier application. The application runs on Amazon EC2 instances and uses an Amazon RDS database The EC2 instances run behind an Application Load Balancer (ALB) and are in an Auto Scaling group.
The DevOps engineer has created a launch template and an Auto Scaling group for the blue environment. The DevOps engineer also has created a launch template and an Auto Scaling group for the green environment.
Each Auto Scaling group deploys to a matching blue or green target group. The target group also specifies which software blue or green gets loaded on the EC2 instances. The ALB can be configured to send traffic to the blue environments target group or the green environments target group. An Amazon Route 53 record for www example com points to the ALB.
The deployment must move traffic all at once between the software on the blue environment's EC2 instances to the newly deployed software on the green environments EC2 instances What should the DevOps engineer do to meet these requirements?

A. Update the launch template to deploy the green environment's software on the blue environment's EC2 instances Keep the target groups and Auto Scaling groups unchanged in both environments Perform a rolling restart of the blue environment's EC2 instances.
B. Start a rolling restart to the Auto Scaling group tor the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, use an AWS CLI command to update the ALB to send traffic to the green environment's target group.
C. Start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, update the Route 53 DNS to point to the green environments endpoint on the ALB.
D. Use an AWS CLI command to update the ALB to send traffic to the green environment's target group.
Then start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances.

Answer: B

Explanation:
This solution will meet the requirements because it will use a rolling restart to gradually replace the EC2 instances in the green environment with new instances that have the new software version installed. A rolling restart is a process that terminates and launches instances in batches, ensuring that there is always a minimum number of healthy instances in service. This way, the green environment can be updated without affecting the availability or performance of the application. When the rolling restart is complete, the DevOps engineer can use an AWS CLI command to modify the listenerrules of the ALB and change the default action to forward traffic to the green environment's target group. This will switch the traffic from the blue environment to the green environment all at once, as required by the question.

NEW QUESTION # 240
A DevOps engineer is building a continuous deployment pipeline for a serverless application that uses AWS Lambda functions. The company wants to reduce the customer impact of an unsuccessful deployment. The company also wants to monitor for issues.
Which deploy stage configuration will meet these requirements?

A. Use an AWS Serverless Application Model (AWS SAM) template to define the serverless application.
Use AWS CodeDeploy to deploy the Lambda functions with the Canary10Percent15Minutes Deployment Preference Type. Use Amazon CloudWatch alarms to monitor the health of the functions.
B. Use AWS CloudFormation to publish a new stack update, and include Amazon CloudWatch alarms on all resources. Set up an AWS CodePipeline approval action for a developer to verify and approve the AWS CloudFormation change set.
C. Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions. Publish a new version of the functions, and include Amazon CloudWatch alarms. Update the production alias to point to the new version. Configure rollbacks to occur when an alarm is in the ALARM state.
D. Use AWS CloudFormation to publish a new version on every stack update, and include Amazon CloudWatch alarms on all resources. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.

Answer: C

Explanation:
Explanation
Use routing configuration on an alias to send a portion of traffic to a second function version. For example, you can reduce the risk of deploying a new version by configuring the alias to send most of the traffic to the existing version, and only a small percentage of traffic to the new version.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-aliases.html The following are the steps involved in the deploy stage configuration that will meet the requirements:
Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions.
Publish a new version of the functions, and include Amazon CloudWatch alarms.
Update the production alias to point to the new version.
Configure rollbacks to occur when an alarm is in the ALARM state.
This configuration will help to reduce the customer impact of an unsuccessful deployment by deploying the new version of the functions to a staging environment first. This will allow the DevOps engineer to test the new version of the functions before deploying it to production.
The configuration will also help to monitor for issues by including Amazon CloudWatch alarms. These alarms will alert the DevOps engineer if there are any problems with the new version of the functions.

NEW QUESTION # 241
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?

A. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi- requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:
SecureTransport condition key is false.
B. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-buckot-ssl- requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the s3:x-amz-server- side-encryption-aws-kms-key-id condition key is null.
C. Use AWS Cloud Formation StackSets to deploy an AWS Network Firewall firewall to each account.
Route all outbound requests from the AWS environment through the firewall. Deploy a policy to block access to all outbound requests on port 80.
D. Use AWS CloudFormation StackSets to deploy an AWS Network Firewall firewall to each account.
Route all inbound requests to the AWS environment through the firewall. Deploy a policy to block access to all inbound requests on port 80.

Answer: A

Explanation:
Step 1: Enabling AWS Config for the OrganizationThe first step is to enable AWS Config across the AWS Organization. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By enabling AWS Config, you can ensure that all S3 buckets within the organization are tracked and evaluated according to compliance rules.
Action: Turn on AWS Config for all AWS accounts in the organization.
Why: AWS Config will help monitor all resources (like S3 buckets) in real time to detect whether they are compliant with security policies.
Reference: AWS documentation on Configuring AWS Config.
Step 2: Deploying a Conformance Pack with Managed RulesAfter AWS Config is enabled, you need to deploy a conformance pack that contains the s3-bucket-ssi-requests-only managed rule. This rule enforces that all S3 buckets only allow requests using Secure Socket Layer (SSL) connections (HTTPS).
Action: Deploy a conformance pack that uses the s3-bucket-ssi-requests-only rule. This rule ensures that only SSL connections (for encrypted data in transit) are allowed when accessing S3.
Why: This rule guarantees that data is encrypted in transit by enforcing SSL connections to the S3 buckets.
Reference: AWS documentation on Conformance Packs.
Step 3: Using an AWS Systems Manager Automation RunbookTo automatically remediate the compliance issues, such as S3 buckets allowing non-SSL requests, a Systems Manager Automation runbook is deployed.
The runbook will automatically add a bucket policy that denies access to any requests that do not use SSL.
Action: Use a Systems Manager Automation runbook that adds a bucket policy statement to deny access when the aws:SecureTransport condition key is false.
Why: This ensures that all S3 buckets across the organization comply with the policy of enforcing encrypted data in transit.
Reference: AWS documentation on AWS Config Managed Rules.
This corresponds to Option C: Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:
SecureTransport condition key is false.

NEW QUESTION # 242
......

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