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Achieving the AWS Certified DevOps Engineer - Professional certification can open up many career opportunities for IT professionals. AWS Certified DevOps Engineer - Professional certification validates a candidate's expertise in designing, deploying, and operating scalable and highly available systems on AWS, which is a highly sought-after skillset in today's technology landscape. Additionally, this certification demonstrates a candidate's commitment to their professional development and their ability to adapt to new technologies and practices in the rapidly-evolving field of DevOps.
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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) certification exam is a highly sought after certification that validates the skills and knowledge required to manage and deploy applications on the AWS platform. AWS Certified DevOps Engineer - Professional certification is designed for DevOps engineers who have experience in developing, provisioning, operating and managing applications on the AWS platform. DOP-C02 Exam Tests the candidate's ability to design, deploy, manage, and maintain AWS-based applications using DevOps practices and principles.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q303-Q308):
NEW QUESTION # 303
A company has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.
Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select THREE.)
- A. For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
- B. Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
- C. Create a repository in each application team's account. Grant each application team's account lull read access and write access to its own repository.
- D. Create a domain in each application team's account. Grant each application team's account lull read access and write access to the application team's domain
- E. Create a domain in the shared services account Grant the organization read access and CreateRepository access.
- F. Set the other application teams' repositories as upstream repositories.
Answer: A,B,E
Explanation:
* Step 1: Creating a Centralized Domain in the Shared Services Account
To manage application package dependencies across multiple accounts, the most efficient solution is to create a centralized domain in the shared services account. This allows all application teams to access and manage package repositories within the same domain, ensuring consistency and centralization.
Action: Create a domain in the shared services account.
Why: A single, centralized domain reduces the need for redundant management in each application team's account.
Reference:
This corresponds to Option B: Create a domain in the shared services account. Grant the organization read access and CreateRepository access.
* Step 2: Sharing Repositories Across Teams with Upstream Configurations To share common library packages across the organization, each application team's repository can point to the shared services repository as an upstream repository. This enables teams to access shared packages without managing them individually in each team's account.
Action: Create a repository in the shared services account and set it as the upstream repository for each application team.
Why: Upstream repositories allow package sharing while maintaining individual team repositories for managing their own packages.
This corresponds to Option D: Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
* Step 3: Using Resource-Based Policies for Cross-Account Access
For teams that need to share their packages with other application teams, resource-based policies can be applied to grant the necessary permissions. These policies allow cross-account access without having to manage permissions at the individual account level.
Action: Create resource-based policies that allow read access to the repositories across application teams.
Why: This simplifies management by centralizing permissions in the shared services account while allowing cross-team collaboration.
This corresponds to Option E: For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
NEW QUESTION # 304
A company has chosen AWS to host a new application. The company needs to implement a multi-account strategy. A DevOps engineer creates a new AWS account and an organization in AWS Organizations. The DevOps engineer also creates the OU structure for the organization and sets up a landing zone by using AWS Control Tower.
The DevOps engineer must implement a solution that automatically deploys resources for new accounts that users create through AWS Control Tower Account Factory. When a user creates a new account, the solution must apply AWS CloudFormation templates and SCPs that are customized for the OU or the account to automatically deploy all the resources that are attached to the account. All the OUs are enrolled in AWS Control Tower.
Which solution will meet these requirements in the MOST automated way?
- A. Use AWS Service Catalog with AWS Control Tower. Create portfolios and products in AWS Service Catalog. Grant granular permissions to provision these resources. Deploy SCPs by using the AWS CLI and JSON documents.
- B. Deploy the Customizations for AWS Control Tower (CfCT) solution. Use an AWS CodeCommit repository as the source. In the repository, create a custom package that includes the CloudFormation templates and the SCP JSON documents.
- C. Deploy CloudFormation stack sets by using the required templates. Enable automatic deployment.
Deploy stack instances to the required accounts. Deploy a CloudFormation stack set to the organization's management account to deploy SCPs. - D. Create an Amazon EventBridge rule to detect the CreateManagedAccount event. Configure AWS Service Catalog as the target to deploy resources to any new accounts. Deploy SCPs by using the AWS CLI and JSON documents.
Answer: B
Explanation:
Explanation
The CfCT solution is designed for the exact purpose stated in the question. It extends the capabilities of AWS Control Tower by providing you with a way to automate resource provisioning and apply custom configurations across all AWS accounts created in the Control Tower environment. This enables the company to implement additional account customizations when new accounts are provisioned via the Control Tower Account Factory. The CloudFormation templates and SCPs can be added to a CodeCommit repository and will be automatically deployed to new accounts when they are created. This provides a highly automated solution that does not require manual intervention to deploy resources and SCPs to new accounts.
NEW QUESTION # 305
A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the companfs existing Amazon CloudWatch dashboards Which solution Will meet these requirements With the MOST operational effictency?
- A. Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction_ Create an AWS Lambda function to aggregate and write the results to Amazon DynamoDB. Create a Lambda subscription filter for the log file. Attach the results to the desired CloudWatch dashboard.
- B. Update the ecommerce application to use AWS X-Ray for instrumentation. Create a new X-Ray subsegment Add an annotation for each processed transaction. Use X-Ray traces to query the data and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard
- C. Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction. Use CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard.
- D. Update the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction. Use Amazon Athena to query the S3 bucket and to visualize the results In a Pie chart format. Export the results from Athena Attach the results to the desired CloudWatch dashboard
Answer: C
Explanation:
The correct answer is A.
A comprehensive and detailed explanation is:
Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.
Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.
Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X-Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.
Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A) However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.
Reference:
CloudWatch Logs Insights
Amazon Athena
AWS X-Ray
AWS Lambda
Amazon DynamoDB
NEW QUESTION # 306
A company has enabled all features for its organization in AWS Organizations. The organization contains 10 AWS accounts. The company has turned on AWS CloudTrail in all the accounts. The company expects the number of AWS accounts in the organization to increase to 500 during the next year. The company plans to use multiple OUs for these accounts.
The company has enabled AWS Config in each existing AWS account in the organization. A DevOps engineer must implement a solution that enables AWS Config automatically for all future AWS accounts that are created in the organization.
Which solution will meet this requirement?
- A. In the organization's management account, create an Amazon EventBridge rule that reacts to a CreateAccount API call. Configure the rule to invoke an AWS Lambda function that enables trusted access to AWS Config for the organization.
- B. In the organization's management account, create an AWS CloudFormation stack set to enable AWS Config. Configure the stack set to deploy automatically when an account is created through Organizations.
- C. In the organization's management account, create an SCP that allows the appropriate AWS Config API calls to enable AWS Config. Apply the SCP to the root-level OU.
- D. In the organization's management account, create an Amazon EventBridge rule that reacts to a CreateAccount API call. Configure the rule to invoke an AWS Systems Manager Automation runbook to enable AWS Config for the account.
Answer: B
NEW QUESTION # 307
A company manages shared libraries across development and production accounts with IAM roles and CodePipeline/CDK. Developers must be the only ones to access latest versions. Shared packages must be independently tested before production.
Which solution meets these requirements?
- A. Single S3 bucket with versioning in central account, IAM policies restricting developers. Use EventBridge to trigger CodeBuild tests before copying to production.
- B. Separate CodeArtifact repositories in dev and prod accounts. Dev repo has repository policy allowing only developers access. EventBridge triggers pipeline to test packages before copying to prod repo.
- C. Separate S3 buckets with versioning in dev and prod accounts, dev bucket policy restricting developers.EventBridge triggers pipeline to test packages before copying to prod and revert if tests fail.
- D. Single CodeArtifact repository in central account with IAM policies allowing only developers access.
Use EventBridge to start CodeBuild testing projects before copying packages to production repo.
Answer: B
Explanation:
* Havingseparate CodeArtifact repositoriesin dev and prod accounts provides clear isolation and control.
* Repository policies can restrict dev repo access to developers.
* EventBridge triggers pipelines to test and promote packages only if tests pass, ensuring safe deployment to production.
* Using S3 (C and D) is not ideal for package management.
* A single repo (A) complicates access and version control across accounts.
References:
CodeArtifact Repository Policies
Cross-Account Package Promotion
NEW QUESTION # 308
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