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The Amazon DOP-C02 Exam covers a wide range of topics, including provisioning and managing infrastructure using AWS services like EC2, RDS, and Elastic Beanstalk, designing and implementing scalable, fault-tolerant systems, and implementing and managing continuous integration and continuous delivery pipelines using tools like CodePipeline and CodeDeploy. Candidates are also tested on their ability to monitor and troubleshoot applications and infrastructure using AWS tools like CloudWatch and CloudTrail.
Amazon DOP-C02 Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Incident and Event Response: Aspiring AWS DevOps Engineers learn to manage event sources effectively, enabling appropriate actions in response to events. This involves implementing configuration changes and troubleshooting system and application failures. The topic underscores the importance of swift and precise incident management, a critical area assessed in the DOP-C02 exam.
|
| Topic 2 | - Resilient Cloud Solutions: AWS DevOps Engineers explore techniques to implement highly available solutions that meet resilience and business continuity requirements. Scalable solutions to align with dynamic business needs are also addressed. Automated recovery processes are emphasized to meet recovery time and point objectives (RTO
- RPO). These skills are pivotal for demonstrating cloud resilience expertise in the certification exam.
|
| Topic 3 | - Security and Compliance: This topic equips AWS DevOps Engineers with advanced techniques for identity and access management at scale. Engineers also apply automation for enforcing security controls and protecting sensitive data. Security monitoring and auditing solutions are emphasized, ensuring compliance and proactive threat mitigation.
|
| Topic 4 | - SDLC Automation: In this topic, AWS DevOps Engineers delve into implementing CI
- CD pipelines, enabling seamless code integration and delivery. This includes integrating automated testing into pipelines to ensure robust application quality. Additionally, engineers build and manage artifacts for efficient version control and deploy strategies tailored for instance-based, containerized, and serverless environments.
|
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Amazon DOP-C02 Exam is designed for experienced DevOps professionals seeking to validate their expertise and earn the AWS Certified DevOps Engineer - Professional certification. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have a deep understanding of DevOps methodologies, practices, and tools, as well as experience deploying and managing applications on the AWS platform.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q447-Q452):
NEW QUESTION # 447
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.)
- A. Update the CI/CD pipeline to create a VM image that contains newly packaged software Use AWS Import/Export to make the VM image available as an Amazon EC2 AMI. Launch the AMI with an attached 1AM instance profile that allows CodeArtifact actions. Use AWS CLI commands to publish the packages to a CodeArtifact repository.
- B. For each public repository, create a CodeArtifact repository that is configured with an external connection Configure the dependent repositories as upstream public repositories.
- C. Create a CodeArtifact repository that is configured with a set of external connections to the public repositories. Configure the external connections to be downstream of the repository
- D. Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an 1AM 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 1AM role and to publish the packages to CodeArtifact.
- E. 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
Answer: B,D
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 # 448
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.)
- A. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
- B. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.
- C. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
- D. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
- E. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
Answer: A,B,E
Explanation:
B) Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable. C. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables. E. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.
NEW QUESTION # 449
An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.
When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.
How should the company meet these requirements with the LEAST amount of application changes?
- A. Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
- B. Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.
- C. Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
- D. Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
Answer: C
NEW QUESTION # 450
A company is testing a web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company uses a blue green deployment process with immutable instances when deploying new software.
During testing users are being automatically logged out of the application at random times. Testers also report that when a new version of the application is deployed all users are logged out. The development team needs a solution to ensure users remain logged m across scaling events and application deployments.
What is the MOST operationally efficient way to ensure users remain logged in?
- A. Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.
- B. Enable smart sessions on the load balancer and modify the application to check tor an existing session.
- C. Modify the application to store user session information in an Amazon ElastiCache cluster.
- D. Enable session sharing on the toad balancer and modify the application to read from the session store.
Answer: C
Explanation:
https://aws.amazon.com/caching/session-management/
NEW QUESTION # 451
A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:
* A number of instances must be available to serve traffic during the deployment Traffic must be balanced across those instances, and the instances must automatically heal in the event of failure.
* A new fleet of instances must be launched for deploying a new revision automatically, with no manual provisioning.
* Traffic must be rerouted to the new environment to half of the new instances at a time. The deployment should succeed if traffic is rerouted to at least half of the instances; otherwise, it should fail.
* Before routing traffic to the new fleet of instances, the temporary files generated during the deployment process must be deleted.
* At the end of a successful deployment, the original instances in the deployment group must be deleted immediately to reduce costs.
How can a DevOps engineer meet these requirements?
- A. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto scaling group option, and use CodeDeployDefault.HalfAtAtime as the deployment configuration.
Instruct AWSCodeDeploy to terminate the original instances in the deployment group, and use the BeforeAlIowTraffic hook within appspec.yml to delete the temporary files. - B. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefaulLAIIatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appspec.yml to delete the temporary files.
- C. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as
50%. and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeBlockTraffic hook within appspec.yml to delete the temporary files. - D. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option. and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.
yml to delete the temporary files.
Answer: A
Explanation:
Step 1: Use a Blue/Green Deployment StrategyA blue/green deployment strategy is necessary to meet the requirement of launching a new fleet of instances for each deployment and ensuring availability. In a blue
/green deployment, the new version (green environment) is deployed to a separate set of instances, while the old version (blue environment) remains active. After testing the new version, traffic can be gradually shifted.
Action: Use AWS CodeDeploy's blue/green deployment configuration.
Why: Blue/green deployment minimizes downtime and ensures that traffic is shifted only to healthy instances.
Reference: AWS documentation on Blue/Green Deployment.
Step 2: Use an Application Load Balancer and Auto Scaling GroupThe Application Load Balancer (ALB) is essential to balance traffic across multiple instances, and Auto Scaling ensures the deployment scales automatically to meet demand.
Action: Associate the Auto Scaling group and Application Load Balancer target group with the deployment group.
Why: This configuration ensures that traffic is evenly distributed and that instances automatically scale based on traffic load.
Reference: AWS documentation on Deploying with Auto Scaling and Load Balancing.
Step 3: Use Custom Deployment ConfigurationThe company requires that traffic be rerouted to at least half of the instances to succeed. AWS CodeDeploy allows you to configure custom deployment settings with specific thresholds for healthy hosts.
Action: Create a custom deployment configuration where 50% of the instances must be healthy.
Why: This ensures that the deployment continues only if at least 50% of the new instances are healthy.
Reference: AWS documentation on Deployment Configurations.
Step 4: Clean Temporary Files Using HooksBefore routing traffic to the new environment, the temporary files generated during the deployment must be deleted. This can be achieved using the BeforeAllowTraffic hook in the appspec.yml file.
Action: Use the BeforeAllowTraffic lifecycle event hook to clean up temporary files before routing traffic to the new environment.
Why: This ensures that the environment is clean before the new instances start serving traffic.
Reference: AWS documentation on AppSpec File Hooks.
Step 5: Terminate Original Instances After DeploymentAfter a successful deployment, AWS CodeDeploy can automatically terminate the original instances (blue environment) to save costs.
Action: Instruct AWS CodeDeploy to terminate the original instances after the new instances are healthy.
Why: This helps in cost reduction by removing unused instances after the deployment.
Reference: AWS documentation on Terminate Old Instances.
This corresponds to Option C: Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.HalfAtATime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.
NEW QUESTION # 452
......
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