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Amazon DOP-C02 certification is an excellent way for experienced DevOps professionals to validate their skills and knowledge, enhance their career prospects, and make a valuable contribution to their organizations. If you are interested in this certification, you can find more information on the AWS website, including study materials, exam details, and registration information.
The DOP-C02 exam covers a wide range of topics related to DevOps engineering on AWS, including continuous integration and delivery (CI/CD), monitoring and logging, infrastructure as code (IaC), security, and automation. Candidates are expected to demonstrate a deep understanding of AWS services and how they can be used to build and deploy applications in a DevOps environment. DOP-C02 Exam consists of 75 multiple-choice and multiple-response questions and must be completed within 180 minutes.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q303-Q308):
NEW QUESTION # 303
A company has several AWS accounts. An Amazon Connect instance runs in each account. The company uses an Amazon EventBridge default event bus in each account for event handling.
A DevOps team needs to receive all the Amazon Connect events in a single DevOps account.
Which solution meets these requirements?
Answer: D
Explanation:
To aggregate events from multiple accounts into a single account, the default event bus in the receiving (DevOps) account must have a resource-based policy allowing the source accounts to put events into it.
Then, an EventBridge rule in each source account routes Amazon Connect events to the default event bus in the DevOps account (cross-account event delivery).
Options A and B describe policies or rules incorrectly applying permissions or routing. Option D mentions replay permissions, which are unrelated to event routing.
References:
EventBridge Cross-Account Event Delivery
Resource-Based Policies for Event Buses
NEW QUESTION # 304
A company needs a strategy for failover and disaster recovery of its data and application. The application uses a MySQL database and Amazon EC2 instances. The company requires a maximum RPO of 2 hours and a maximum RTO of 10 minutes for its data and application at all times.
Which combination of deployment strategies will meet these requirements? (Select TWO.)
Answer: B,E
Explanation:
To meet the requirements of failover and disaster recovery, the company should use the following deployment strategies:
Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in the secondary Region. This strategy can provide a low RPO and RTO for the data, as Aurora global database replicates data with minimal latency across Regions and allows fast and easy failover12. The company can use the Amazon Aurora cluster endpoint to connect to the current primary DB cluster without needing to change any application code1.
Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region. This strategy can provide high availability and performance for the application, as AWS Global Accelerator uses the AWS global network to route traffic to the closest healthy endpoint3. The company can also use static IP addresses that are assigned by Global Accelerator as a fixed entry point for their application1. By using health checks and Auto Scaling groups, the company can ensure that their application can scale up or down based on demand and handle any instance failures4.
The other options are incorrect because:
Creating an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store would not provide a fast failover or disaster recovery solution, as the company would need to manually restore data from backups or snapshots in another Region in case of a failure.
Creating an Amazon Aurora cluster in multiple AWS Regions as the data store and using a Network Load Balancer to balance the database traffic in different Regions would not work, as Network Load Balancers do not support cross-Region routing. Moreover, this strategy would not provide a consistent view of the data across Regions, as Aurora clusters do not replicate data automatically between Regions unless they are part of a global database.
Setting up the application in two AWS Regions and using Amazon Route 53 failover routing that points to Application Load Balancers in both Regions would not provide a low RTO, as Route 53 failover routing relies on DNS resolution, which can take time to propagate changes across different DNS servers and clients.
Moreover, this strategy would not provide deterministic routing, as Route 53 failover routing depends on DNS caching behavior, which can vary depending on different factors.
NEW QUESTION # 305
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.)
Answer: D,E
NEW QUESTION # 306
A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.
The company's DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.
Which solution will meet these requirements?
Answer: A
Explanation:
The correct answer is B. Creating a new AWS CodeBuild project and configuring a test stage in the AWS CodePipeline pipeline that uses the new CodeBuild project is the best way to integrate the unit tests into the existing pipeline. Creating a CodeBuild report group and uploading the test reports to the new CodeBuild report group will produce reports about the unit tests for the company to view. Using JUNITXML as the output format for the unit tests is supported by CodeBuild and will generate a valid report.
Option A is incorrect because Amazon CodeGuru Reviewer is a service that provides automated code reviews and recommendations for improving code quality and performance. It is not a tool for running unit tests or producing test reports. Therefore, option A will not meet the requirements.
Option C is incorrect because AWS CodeArtifact is a service that provides secure, scalable, and cost-effective artifact management for software development. It is not a tool for running unit tests or producing test reports. Moreover, option C uses CUCUMBERJSON as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.
Option D is incorrect because uploading the test reports to an Amazon S3 bucket is not the best way to produce reports about the unit tests for the company to view. CodeBuild has a built-in feature to create and manage test reports, which is more convenient and efficient than using S3. Furthermore, option D uses HTML as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.
NEW QUESTION # 307
A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.
When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.
Which solution will meet these requirements?
Answer: B
Explanation:
In CodePipeline's execution mode,
* PARALLEL mode for pull_request pipelines ensures that multiple feature branches can be tested simultaneously for quick feedback.
* QUEUED mode for main_branch ensures deployments run sequentially - each must finish before the next begins, preventing overlap. This configuration aligns with AWS CodePipeline best practices for trunk-based development and concurrent test pipelines.
NEW QUESTION # 308
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