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100% Pass DOP-C02 - AWS Certified DevOps Engineer - Professional–Reliable Latest Test Answers

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is an advanced-level certification designed for individuals with extensive experience in the field of DevOps. AWS Certified DevOps Engineer - Professional certification exam measures an individual's ability to manage and implement continuous delivery systems and methodologies on the AWS platform. It is ideal for DevOps engineers, system administrators, and developers who are responsible for designing, implementing, and managing DevOps workflows and methodologies.

Amazon DOP-C02 Certification Exam is designed to test the skills and knowledge of professionals in the field of DevOps. DevOps is the combination of cultural philosophies, practices, and tools that increase an organization's ability to deliver applications and services at high velocity. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have experience working in a DevOps environment, and who are looking to take their expertise to the next level.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
A company is migrating its container-based workloads to an AWS Organizations multi-account environment. The environment consists of application workload accounts that the company uses to deploy and run the containerized workloads. The company has also provisioned a shared services account tor shared workloads in the organization.
The company must follow strict compliance regulations. All container images must receive security scanning before they are deployed to any environment. Images can be consumed by downstream deployment mechanisms after the images pass a scan with no critical vulnerabilities. Pre-scan and post-scan images must be isolated from one another so that a deployment can never use pre-scan images.
A DevOps engineer needs to create a strategy to centralize this process.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select TWO.)

A. Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.
B. Configure image replication for each image from the image's pre-scan repository to the image's post-scan repository.
C. Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.
D. Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.
E. Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.

Answer: B,D

Explanation:
* Step 1: Centralizing Image Scanning in a Shared Services Account
The first requirement is to centralize the image scanning process, ensuring pre-scan and post-scan images are stored separately. This can be achieved by creating separate pre-scan and post-scan repositories in the shared services account, with the appropriate resource-based policies to control access.
Action: Create separate ECR repositories for pre-scan and post-scan images in the shared services account. Configure resource-based policies to allow write access to pre-scan repositories and read access to post-scan repositories.
Why: This ensures that images are isolated before and after the scan, following the compliance requirements.
Reference:
This corresponds to Option A: Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.
* Step 2: Replication between Pre-Scan and Post-Scan Repositories
To automate the transfer of images from the pre-scan repositories to the post-scan repositories (after they pass the security scan), you can configure image replication between the two repositories.
Action: Set up image replication between the pre-scan and post-scan repositories to move images that have passed the security scan.
Why: Replication ensures that only scanned and compliant images are available for deployment, streamlining the process with minimal administrative overhead.
This corresponds to Option C: Configure image replication for each image from the image's pre-scan repository to the image's post-scan repository.

NEW QUESTION # 35
An ecommerce company is receiving reports that its order history page is experiencing delays in reflecting the processing status of orders. The order processing system consists of an AWS Lambda function that uses reserved concurrency. The Lambda function processes order messages from an Amazon Simple Queue Service (Amazon SQS) queue and inserts processed orders into an Amazon DynamoDB table. The DynamoDB table has auto scaling enabled for read and write capacity.
Which actions should a DevOps engineer take to resolve this delay? (Choose two.)

A. Check the NumberOfMessagesSent metric for the SQS queue. Increase the SQS queue visibility timeout.
B. Check the ApproximateAgeOfOldestMessage metric for the SQS queue. Increase the Lambda function concurrency limit.
C. Check the WriteThrottleEvents metric for the DynamoDB table. Increase the maximum write capacity units (WCUs) for the table's scaling policy.
D. Check the ApproximateAgeOfOldestMessage metnc for the SQS queue Configure a redrive policy on the SQS queue.
E. Check the Throttles metric for the Lambda function. Increase the Lambda function timeout.

Answer: B,C

Explanation:
Explanation
A: If the ApproximateAgeOfOldestMessages indicate that orders are remaining in the SQS queue for longer than expected, the reserved concurrency limit may be set too small to keep up with the number of orders entering the queue and is being throttled. D: The DynamoDB table is using Auto Scaling. With Auto Scaling, you create a scaling policy that specifies whether you want to scale read capacity or write capacity (or both), and the minimum and maximum provisioned capacity unit settings for the table. The ThottledWriteRequests metric will indicate if there is a throttling issue on the DynamoDB table, which can be resolved by increasing the maximum write capacity units for the table's Auto Scaling policy.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html

NEW QUESTION # 36
A company uses an AWS CodeCommit repository to store its source code and corresponding unit tests. The company has configured an AWS CodePipeline pipeline that includes an AWS CodeBuild project that runs when code is merged to the main branch of the repository.
The company wants the CodeBuild project to run the unit tests. If the unit tests pass, the CodeBuild project must tag the most recent commit.
How should the company configure the CodeBuild project to meet these requirements?

A. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.
B. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.
C. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project lo run the unit tests. Configure the project to use AWS CLI commands to create a new Git tag in the repository if the code passes the unit tests.
D. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Answer: B

Explanation:
* Step 1: Using Native Git in CodeBuildTo meet the requirement of running unit tests and tagging the most recent commit if thetests pass, the CodeBuild project should be configured to use native Git to clone the CodeCommit repository. Native Git support allows full functionality for managing the repository, including the ability to create and push tags.
* Action:Configure the CodeBuild project to use native Git to clone the repository and run the tests.
* Why:Using native Git provides flexibility for managing tags and other repository operations after the tests are successfully executed.
* Step 2: Tagging the Most Recent CommitOnce the unit tests pass, the CodeBuild project can use native Git to create a tag for the most recent commit and push that tag to the repository. This ensures that the tagged commit is linked to the test results.
* Action:Configure the project to use native Git to create and push a tag to the repository if the tests pass.
* Why:This ensures the correct commit is tagged automatically, streamlining the workflow.

NEW QUESTION # 37
A company is developing a microservices-based application on AWS. The application consists of AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) services that need to be deployed frequently.
A DevOps engineer needs to implement a consistent deployment solution across all components of the application. The solution must automate the deployments, minimize downtime during updates, and manage configuration data for the application.
Which solution will meet these requirements with the LEAST deployment effort?

A. Use AWS CodeDeploy to manage deployments for the Lambda functions and ECS services. Implement canary deployments for the Lambda functions. Implement blue/green deployments for the ECS services. Use AWS Systems Manager Parameter Store to manage the configuration data.
B. Use AWS CloudFormation to define and provision the Lambda functions and ECS services. Implement stack updates with resource replacement for all components. Use AWS Secrets Manager to manage the configuration data.
C. Use AWS Step Functions to orchestrate deployments for the Lambda functions and ECS services. Use canary deployments for the Lambda functions and ECS services in a different AWS Region. Use AWS Systems Manager Parameter Store to manage the configuration data.
D. Use AWS Systems Manager to manage deployments for the Lambda functions and ECS services.Implement all-at-once deployments for the Lambda functions. Implement rolling updates for the ECS services. Use AWS Secrets Manager to manage the configuration data.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AWS CodeDeploy supports deployment of both Lambda functions and ECS services with native integration.
* It provides deployment strategies such ascanary deploymentsfor Lambda andblue/green deployments for ECS, which minimize downtime and risk.
* CodeDeploy automates the deployment process, which reduces manual effort and improves consistency.
* AWS Systems Manager Parameter Store is a simple, managed solution for storing configuration data securely and at scale.
* Option A uses CloudFormation stack updates with resource replacement, which can cause downtime and is less flexible for minimizing downtime compared to CodeDeploy's deployment strategies.
* Option C adds unnecessary orchestration complexity with Step Functions and cross-region deployments, increasing deployment effort.
* Option D's all-at-once deployments for Lambda and rolling updates for ECS do not minimize downtime as effectively as canary and blue/green strategies.Hence, option B meets the requirement with the least deployment effort and maximizes automation and availability.
Reference from AWS Official Documentation:
* Deploying Lambda Functions with CodeDeploy:"AWS CodeDeploy supports canary and linear deployment strategies for AWS Lambda functions to reduce deployment risk."(CodeDeploy Lambda Deployment)
* Deploying ECS Services with CodeDeploy Blue/Green:"CodeDeploy supports blue/green deployments for ECS to minimize downtime during service updates."(CodeDeploy ECS Blue/Green)
* AWS Systems Manager Parameter Store:"Parameter Store provides secure, hierarchical storage for configuration data management."(Systems Manager Parameter Store)

NEW QUESTION # 38
A company has an organization in AWS Organizations. The organization includes workload accounts that contain enterprise applications. The company centrally manages users from an operations account. No users can be created in the workload accounts. The company recently added an operations team and must provide the operations team members with administrator access to each workload account.
Which combination of actions will provide this access? (Choose three.)

A. Create an Amazon Cognito identity pool in the operations account. Attach the SysAdmin role as an authenticated role.
B. Create a SysAdmin role in the operations account. Attach the AdministratorAccess policy to the role. Modify the trust relationship to allow the sts:AssumeRole action from the workload accounts.
C. Create a SysAdmin role in each workload account. Attach the AdministratorAccess policy to the role. Modify the trust relationship to allow the sts:AssumeRole action from the operations account.
D. In the operations account, create an IAM user group that is named SysAdmins. Add an IAM policy that allows the sts:AssumeRole action for the SysAdmin role in each workload account. Add all operations team members to the group.
E. Create an Amazon Cognito user pool in the operations account. Create an Amazon Cognito user for each operations team member.
F. In the operations account, create an IAM user for each operations team member.

Answer: C,D,F

Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

NEW QUESTION # 39
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