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Amazon DOP-C02 certification can help professionals advance their careers in the field of DevOps engineering and demonstrate their expertise in managing and operating distributed application systems using AWS tools and services. With the increasing demand for skilled DevOps engineers, earning this certification can open up new career opportunities and increase earning potential.
The AWS Certified DevOps Engineer - Professional certification exam covers a range of topics, including continuous delivery and deployment, high availability and fault tolerance, monitoring and logging, security and compliance, and infrastructure as code. DOP-C02 Exam also includes questions on AWS services such as AWS Elastic Beanstalk, AWS Elastic Container Service, and AWS Lambda.
The AWS Certified DevOps Engineer - Professional exam is designed to test the candidate's knowledge and skills in various areas related to DevOps, including continuous integration and delivery, infrastructure-as-code, monitoring, and logging, among others. DOP-C02 exam consists of multiple-choice and multiple-response questions, as well as scenario-based questions that require the candidate to apply their knowledge to real-world situations. DOP-C02 exam is 180 minutes long and costs $300.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q381-Q386):
NEW QUESTION # 381
A company has an application and a CI/CD pipeline. The CI/CD pipeline consists of an AWS CodePipeline pipeline and an AWS CodeBuild project. The CodeBuild project runs tests against the application as part of the build process and outputs a test report. The company must keep the test reports for 90 days.
Which solution will meet these requirements?
- A. Add a new stage in the CodePipeline pipeline. Configure a test action type with the appropriate path and format for the reports. Configure the report expiration time to be 90 days in the CodeBuild project buildspec file.
- B. Add a new stage in the CodePipeline pipeline after the stage that contains the CodeBuild project. Create an Amazon S3 bucket to store the reports. Configure an S3 deploy action type in the new CodePipeline stage with the appropriate path and format for the reports.
- C. Add a report group in the CodeBuild project buildspec file with the appropriate path and format for the reports. Create an Amazon S3 bucket to store the reports. Configure the report group as an artifact in the CodeBuild project buildspec file. Configure the S3 bucket as the artifact destination. Set the object expiration to 90 days.
- D. Add a report group in the CodeBuild project buildspec file with the appropriate path and format for the reports. Create an Amazon S3 bucket to store the reports. Configure an Amazon EventBridge rule that invokes an AWS Lambda function to copy the reports to the S3 bucket when a build is completed. Create an S3 Lifecycle rule to expire the objects after 90 days.
Answer: D
Explanation:
The correct solution is to add a report group in the AWS CodeBuild project buildspec file with the appropriate path and format for the reports. Then, create an Amazon S3 bucket to store the reports. You should configure an Amazon EventBridge rule that invokes an AWS Lambda function to copy the reports to the S3 bucket when a build is completed. Finally, create an S3 Lifecycle rule to expire the objects after 90 days. This approach allows for the automated transfer of reports to long-term storage and ensures they are retained for the required duration without manual intervention1.
:
AWS CodeBuild User Guide on test reporting1.
AWS CodeBuild User Guide on working with report groups2.
AWS Documentation on using AWS CodePipeline with AWS CodeBuild3.
NEW QUESTION # 382
A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an IAM service role that has permissions to access the S3 bucket.
A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project.
The DevOps engineer adjusts the IAM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.
When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.
Which solution will resolve the issue of failed access to the ECR repository?
- A. Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.
- B. Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project's IAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.
- C. Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the IAM service role to have access.
- D. Update the buildspec.yml file to use the AWS CLI to assume the IAM service role for ECR operations.Add an ECR repository policy that allows the IAM service role to have access.
Answer: A
Explanation:
Explanation
Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentica-tion token. Update the docker login command to use the authentication token to access the ECR repository.
This is the correct solution. The aws ecr get-login-password AWS CLI command retrieves and displays an authentication token that can be used to log in to an ECR repository. The docker login command can use this token as a password to authenticate with the ECR repository. This way, the CodeBuild project can push and pull images from the ECR repository without any errors. For more information, see Using Amazon ECR with the AWS CLI and get-login-password.
NEW QUESTION # 383
A company runs a web application that extends across multiple Availability Zones. The company uses an Application Load Balancer (ALB) for routing. AWS Fargate (or the application and Amazon Aurora for the application data The company uses AWS CloudFormation templates to deploy the application The company stores all Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository in the same AWS account and AWS Region.
A DevOps engineer needs to establish a disaster recovery (DR) process in another Region. The solution must meet an RPO of 8 hours and an RTO of 2 hours The company sometimes needs more than 2 hours to build the Docker images from the Dockerfile Which solution will meet the RTO and RPO requirements MOST cost-effectively?
- A. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region Configure Aurora automated backup Cross-Region Replication Configure ECR Cross-Region Replication. In case of DR use the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository to launch a new CloudFormation stack in the DR Region Update the application DNS records to point to the new ALB
- B. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region. Use Amazon EventBridge to schedule an AWS Lambda function to take an hourly snapshot of the Aurora database and of the most recent Docker image in the ECR repository. Copy the snapshot and the Docker image to the DR Region in case of DR, use the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository to launch a new CloudFormation stack in the DR Region
- C. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region. Deploy a second application CloudFormation stack in the DR Region. Reconfigure Aurora to be a global database Update both CloudFormation stacks when a new application release in the current Region is needed. In case of DR. update, the application DNS records to point to the new ALB.
- D. Copy the CloudFormation templates and the Dockerfile to an Amazon S3 bucket in the DR Region Use AWS Backup to configure automated Aurora cross-Region hourly snapshots In case of DR, build the most recent Docker image and upload the Docker image to an ECR repository in the DR Region Use the CloudFormation template that has the most recent Aurora snapshot and the Docker image from the ECR repository to launch a new CloudFormation stack in the DR Region Update the application DNS records to point to the new ALB
Answer: A
Explanation:
The most cost-effective solution to meet the RTO and RPO requirements is option B. This option involves copying the CloudFormation templates to an Amazon S3 bucket in the DR Region, configuring Aurora automated backup Cross-Region Replication, and configuring ECR Cross-Region Replication. In the event of a disaster, the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository can be used to launch a new CloudFormation stack in the DR Region. This approach avoids the need to build Docker images from the Dockerfile, which can sometimes take more than 2 hours, thus meeting the RTO requirement. Additionally, the use of automated backups and replication ensures that the RPO of 8 hours is met.
Reference:
AWS Documentation on Disaster Recovery: Plan for Disaster Recovery (DR) - Reliability Pillar AWS Blog on Establishing RPO and RTO Targets: Establishing RPO and RTO Targets for Cloud Applications AWS Documentation on ECR Cross-Region Replication: Amazon ECR Cross-Region Replication AWS Documentation on Aurora Cross-Region Replication: Replicating Amazon Aurora DB Clusters Across AWS Regions
NEW QUESTION # 384
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign-On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
The attribute mapping list contains two entries. The department key is mapped to ${path:enterprise.department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3). A DevOps engineer must create policies based on the matching attributes. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?
- A.

- B.

- C.

- D.

Answer: A
Explanation:
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html
NEW QUESTION # 385
A company has an organization in AWS Organizations. A DevOps engineer needs to maintain multiple AWS accounts that belong to different OUs in the organization. All resources, including 1AM policies and Amazon S3 policies within an account, are deployed through AWS CloudFormation. All templates and code are maintained in an AWS CodeCommit repository Recently, some developers have not been able to access an S3 bucket from some accounts in the organization.
The following policy is attached to the S3 bucket.
What should the DevOps engineer do to resolve this access issue?
- A. Verify that no 1AM permissions boundaries are denying developers access to the S3 bucket Make the necessary changes to IAM permissions boundaries. Use an AWS Config recorder in the individual developer accounts that are experiencing the issue to revert any changes that are blocking access.
Commit the fix back into the CodeCommit repository. Invoke deployment through Cloud Formation to apply the changes. - B. Modify the S3 bucket policy Turn off the S3 Block Public Access setting on the S3 bucket In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue.
- C. Configure an SCP that stops anyone from modifying 1AM resources in developer OUs. In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue Commit the fix back into the CodeCommit repository Invoke deployment through CloudFormation to apply the changes
- D. Ensure that no SCP is blocking access for developers to the S3 bucket Ensure that no 1AM policy permissions boundaries are denying access to developer 1AM users Make the necessarychanges to the SCP and 1AM policy permissions boundaries in the CodeCommit repository Invoke deployment through CloudFormation to apply the changes
Answer: D
Explanation:
* Verify No SCP Blocking Access:
* Ensure that no Service Control Policy (SCP) is blocking access for developers to the S3 bucket.
SCPs are applied at the organization or organizational unit (OU) level in AWS Organizations and can restrict what actions users and roles in the affected accounts can perform.
* Verify No IAM Policy Permissions Boundaries Blocking Access:
* IAM permissions boundaries can limit the maximum permissions that a user or role can have.
Verify that these boundaries are not restricting access to the S3 bucket.
* Make Necessary Changes to SCP and IAM Policy Permissions Boundaries:
* Adjust the SCPs and IAM permissions boundaries if they are found to be the cause of the access issue. Make sure these changes are reflected in the code maintained in the AWS CodeCommit repository.
* Invoke Deployment Through CloudFormation:
* Commit the updated policies to the CodeCommit repository.
* Use AWS CloudFormation to deploy the changes across the relevant accounts and resources to ensure that the updated permissions are applied consistently.
By ensuring no SCPs or IAM policy permissions boundaries are blocking access and making necessary changes if they are, the DevOps engineer can resolve the access issue for developers trying to access the S3 bucket.
References:
* AWS SCPs
* IAM Permissions Boundaries
* Deploying CloudFormation Templates
NEW QUESTION # 386
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