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The DOP-C02 certification exam is a rigorous exam that tests the candidate's knowledge and skills in several areas, including continuous delivery and deployment, monitoring and logging, security, infrastructure as code, and automation. DOP-C02 exam is designed to assess the candidate's ability to design, deploy, and manage highly available, fault-tolerant, and scalable AWS systems.

To prepare for the DOP-C02 exam, candidates should have a solid understanding of DevOps principles and practices, as well as experience working with AWS services and tools. Amazon recommends that candidates have at least two years of experience in a DevOps role and a strong understanding of programming languages and scripting. Candidates can also take advantage of AWS training and certification resources, including online courses, practice exams, and instructor-led training, to prepare for the exam and enhance their skills and knowledge in DevOps and AWS.

Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is a highly sought-after certification for professionals who are looking to validate their skills and knowledge in the field of DevOps. AWS Certified DevOps Engineer - Professional certification exam is designed to test the candidate's proficiency in deploying, managing, and operating highly available, scalable, and fault-tolerant systems on the AWS cloud platform.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q211-Q216):

NEW QUESTION # 211
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:
What changes should be recommended to comply with AWS security best practices? (Select THREE.)

Answer: C,D,E


NEW QUESTION # 212
A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.
Which solution will meet these requirements?

Answer: C

Explanation:
https://aws.amazon.com/blogs/devops/how-to-test-and-debug-aws-codedeploy-locally-before-you-ship-your- code/#:~:text=You%20can%20test%20application%20code,local%20server%20or%20EC2%20instance.


NEW QUESTION # 213
A company is migrating from its on-premises data center to AWS. The company currently uses a custom on-premises CI/CD pipeline solution to build and package software.
The company wants its software packages and dependent public repositories to be available in AWS CodeArtifact to facilitate the creation of application-specific pipelines.
Which combination of steps should the company take to update the CI/CD pipeline solution and to configure CodeArtifact with the LEAST operational overhead? (Select TWO.)

Answer: A,E

Explanation:
* Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an IAM role that allows CodeArtifact actions and that has a trust relationship on the trust anchor. Update the on-premises CI/CD pipeline to assume the new IAM role and to publish the packages to CodeArtifact:
Roles Anywhere allows on-premises servers to assume IAM roles, making it easier to integrate on-premises environments with AWS services.
Steps:
Create a trust anchor in IAM.
Create an IAM role with permissions for CodeArtifact actions (e.g., publishing packages).
Update the CI/CD pipeline to assume this role using the trust anchor.
* Create a new Amazon S3 bucket. Generate a presigned URL that allows the PutObject request. Update the on-premises CI/CD pipeline to use the presigned URL to publish the packages from the on-premises location to the S3 bucket. Create an AWS Lambda function that runs when packages are created in the bucket through a put command Configure the Lambda function to publish the packages to CodeArtifact:
Using an S3 bucket as an intermediary, you can easily upload packages from on-premises systems.
Steps:
Create an S3 bucket.
Generate presigned URLs to allow the CI/CD pipeline to upload packages.
Configure an AWS Lambda function to trigger on S3 PUT events and publish the packages to CodeArtifact.
Reference:
IAM Roles Anywhere
Amazon S3 presigned URLs
AWS Lambda function triggers


NEW QUESTION # 214
A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer's peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.
The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.
The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.
Which combination of steps will meet the company's requirements? (Choose two.)

Answer: A,B

Explanation:
Explanation
A- https://docs.aws.amazon.com/codedeploy/latest/userguide/codedeploy-agent.html D - This option correctly utilizes AWS CodePipeline to invoke the CodeBuild job and create CloudFormation change sets. It adds a manual approval step before executing the change sets and starting the AWS CodeDeploy deployment. This ensures that the deployment process is automated while retaining the final manual approval step.


NEW QUESTION # 215
A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.
The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.
A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.
Which solution will meet these requirements with the LEAST development overhead?

Answer: A

Explanation:
The best solution is to use AWS Config and AWS Security Hub to identify and remediate noncompliant resources across multiple AWS accounts. AWS Config enables continuous monitoring of the configuration of AWS resources and evaluates them against desired configurations. AWS Config can also automatically remediate noncompliant resources by using conformance packs, which are a collection of AWS Config rules and remediation actions that can be deployed as a single entity. AWS Security Hub provides a comprehensive view of the security posture of AWS accounts and resources. AWS Security Hub can aggregate and normalize the findings from AWS Config and other AWS services, as well as from partner solutions. AWS Security Hub can also be used to create a dashboard for tracking noncompliant resources and events in a centralized location.
The other options are not optimal because they either require more development overhead, do not provide near real time detection and remediation, or do not provide a centralized dashboard for tracking.
Option A is not optimal because CloudFormation drift detection is not a near real time solution. Drift detection has to be manually initiated on each stack or resource, or scheduled using a cron expression. Drift detection also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. CloudWatch Logs and dashboard can be used for tracking, but they do not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option B is not optimal because CloudTrail logs analysis using Athena is not a near real time solution. Athena queries have to be manually run or scheduled using a cron expression. Athena also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. Step Functions can be used to orchestrate the query and remediation workflow, but it adds more complexity and cost. QuickSight dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option D is not optimal because CloudTrail logs analysis using CloudWatch Logs is not a near real time solution. CloudWatch Logs filters have to be manually created or updated for each resource type and configuration change. CloudWatch Logs also does not provide remediation actions, so acustom Lambda function has to be developed and invoked. EventBridge can be used to trigger the Lambda function, but it adds more complexity and cost. OpenSearch Service dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
References:
* AWS Config conformance packs
* Introducing AWS Config conformance packs
* Managing conformance packs across all accounts in your organization


NEW QUESTION # 216
......

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