DOP-C02–100% Free Sample Questions | Excellent Cost Effective AWS Certified DevOps Engineer - Professional Dumps

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The Amazon DOP-C02 Certification is a valuable credential in the modern world. The Amazon DOP-C02 certification exam offers a great opportunity for beginners and experienced professionals to validate their skills and knowledge level. With the one certification AWS Certified DevOps Engineer - Professional exam you can upgrade your expertise and knowledge.

The AWS Certified DevOps Engineer - Professional certification exam covers a range of topics related to DevOps, including continuous integration and continuous delivery, monitoring and logging, security, and automation. Candidates must demonstrate a deep understanding of these topics, as well as the ability to apply their knowledge to real-world scenarios. DOP-C02 exam also tests candidates' ability to work collaboratively with cross-functional teams, communicate effectively, and troubleshoot problems.

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 DOP-C02 Certification Exam is designed to test an individual's ability to implement and manage a DevOps environment on the AWS platform. This includes designing and implementing continuous delivery systems, continuous integration, and continuous deployment systems. It also measures an individual's knowledge of monitoring, logging, and metrics systems on the AWS platform, as well as their ability to implement and manage security and compliance policies.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q100-Q105):

NEW QUESTION # 100
A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?

Answer: D

Explanation:
Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements. AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production. Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git-based tools and will not provide the same level of revision control as AWS CodeCommit. References:
AWS CodeCommit
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 182)


NEW QUESTION # 101
A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs to an Amazon S3 bucket. Logs are rarely accessed after 90 days and must be retained for 10 years.
Which combination of steps should a DevOps engineer take to meet these requirements? (Select TWO.)

Answer: D,E

Explanation:
To archive CloudWatch Logs to S3 with long-term retention, you need:
a streaming mechanism to move data from CloudWatch Logs to S3, and
an S3 Lifecycle policy to handle tiering and expiration.
Option B uses a CloudWatch Logs subscription filter that targets Amazon Data Firehose. Firehose provides managed, scalable streaming from CloudWatch Logs to S3 with optional buffering and transformation. This is the AWS-recommended pattern for exporting continuous log streams with minimal operational overhead. Option C is not valid because CloudWatch Logs subscription filters cannot directly target S3; they must target Kinesis, Firehose, or Lambda.
Once logs are in S3, the company wants to keep them rarely accessed after 90 days and retained for 10 years. Option D configures an S3 lifecycle policy to transition logs to S3 Glacier Instant Retrieval after 90 days, which is a low-cost archival tier with relatively fast access, and to expire (delete) logs after 3,650 days (10 years). This precisely matches the retention requirement.
Option E uses Reduced Redundancy, which is a legacy storage class and not optimized for long-term archival. Therefore, the correct combination is B and D.


NEW QUESTION # 102
A global company manages multiple AWS accounts by using AWS Control Tower. The company hosts internal applications and public applications.
Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations. One of the AWS Control Tower member accounts serves as a centralized DevOps account with CI/CD pipelines that application teams use to deploy applications to their respective target AWS accounts. An 1AM role for deployment exists in the centralized DevOps account.
An application team is attempting to deploy its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in an application AWS account. An 1AM role for deployment exists in the application AWS account. The deployment is through an AWS CodeBuild project that is set up in the centralized DevOps account. The CodeBuild project uses an 1AM service role for CodeBuild. The deployment is failing with an Unauthorized error during attempts to connect to the cross-account EKS cluster from CodeBuild.
Which solution will resolve this error?

Answer: B

Explanation:
Explanation
In the source AWS account, the IAM role used by the CI/CD pipeline should have permissions to access the source code repository, build artifacts, and any other resources required for the build process. In the destination AWS accounts, the IAM role used for deployment should have permissions to access the AWS resources required for deploying the application, such as EC2 instances, RDS databases, S3 buckets, etc. The exact permissions required will depend on the specific resources being used by the application. the IAM role used for deployment in the destination accounts should also have permissions to assume the IAM role for deployment in the centralized DevOps account. This is typically done using an IAM role trust policy that allows the destination account to assume the DevOps account role.


NEW QUESTION # 103
A company frequently creates Docker images of an application. The company stores the images in Amazon Elastic Container Registry (Amazon ECR) . The company creates both tagged images and untagged images.
The company wants to implement a solution to automatically delete images that have not been updated for a long time and are not frequently used. The solution must retain at least a specified number of images.
Which solution will meet these requirements with the LEAST operational overhead ?

Answer: B

Explanation:
Option B is the correct choice and has the least operational overhead because ECR lifecycle policies are the native, managed feature built specifically to automate image cleanup:
* ECR lifecycle policies can expire images based on image age (e.g., images older than X days) and can also enforce retaining a minimum number of images (count-based retention), which directly matches the requirement "retain at least a specified number of images."
* Lifecycle policies work for both tagged and untagged images using rule selection and tagging status filters, so the repository stays clean without custom automation.
Why the other options are not appropriate / higher overhead:
* A is invalid: ECR is not S3; S3 lifecycle policies do not manage ECR images .
* C and D introduce custom automation (Lambda or SSM scripting), scheduling, permissions, error handling, retries, logging, and ongoing maintenance-higher overhead than a managed lifecycle policy.


NEW QUESTION # 104
A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.

A development team is building a new project in an account that is in an organization in AWS Organizations.
The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.
The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.
Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)

Answer: C,D

Explanation:
"AWS CodeArtifact operates in multiple Availability Zones and stores artifact data and metadata in Amazon S3 and Amazon DynamoDB. Your encrypted data is redundantly stored across multiple facilities and multiple devices in each facility, making it highly available and highly durable." https://aws.amazon.com/codeartifact
/features/ With no internet connectivity, a gateway endpoint becomes necessary to access S3.


NEW QUESTION # 105
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