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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified DevOps Engineer - Professional |
| Exam Number: | DOP-C02 |
| Exam Price: | 300 USD |
| Exam Format: | Multiple response, Multiple choice |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 75 (65 scored, 10 unscored) |
| Exam Duration: | 180 minutes |
| Related Certifications: | AWS Certified Developer - Associate AWS Certified SysOps Administrator - Associate |
| Available Languages: | Traditional Chinese, Korean, English, Japanese, Simplified Chinese |
| Passing Score: | 750 (scaled score 100–1000) |
| Recommended Training: | AWS Training and Certification AWS Certified DevOps Engineer - Professional Exam Guide |
| Exam Registration: | AWS Certification Registration Pearson VUE Registration |
| Sample Questions: | Amazon DOP-C02 Sample Questions |
| Exam Way: | Online proctored or onsite at testing centers |
| Pre Condition: | Recommended: AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate, plus 2+ years of hands-on experience provisioning, operating, and managing AWS environments |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/devops-engineer-professional-02/devops-engineer-professional-02.html |
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The AWS Certified DevOps Engineer – Professional (DOP-C02) is an advanced-level certification offered by Amazon Web Services (AWS). AWS Certified DevOps Engineer - Professional certification is designed for IT professionals who have experience in developing and managing applications on the AWS platform. It is intended to validate the skills and expertise of individuals in implementing, automating, and managing DevOps practices on AWS.
NEW QUESTION # 72
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,D
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 # 73
A company uses AWS CodePipeline and AWS CodeDeploy to deploy application code to Amazon EC2 instances. The EC2 instances send application logs and CodeDeploy logs to Amazon CloudWatch.
Recently, the company manually rolled back a deployment because of application errors. The company wants to automate the rollback process when application errors occur.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS CodeDeploy natively supports automatic rollback based on CloudWatch alarms. To use this capability, you define an alarm that indicates unhealthy behavior (for example, increasing application error rate) and attach that alarm to the deployment group in CodeDeploy. If the alarm goes into ALARM state during or after a deployment, CodeDeploy automatically rolls back to the last known good revision when auto rollback is enabled.
Option A correctly implements this pattern:
* Derive a CloudWatch metric from application logs (e.g., count of error-level log entries or HTTP 5xx responses).
* Create a CloudWatch alarm on that metric with appropriate thresholds.
* Configure the deployment group to use the alarm as part of its alarm configuration and enable auto rollback.
Option B uses CodeDeploy agent logs, which may not directly reflect true application health and couples rollback logic tightly to deployment internals rather than application behavior. Options C and D implement custom rollback logic with Lambda and EventBridge, which re-create behavior that CodeDeploy already provides natively and add unnecessary operational and code complexity.
Therefore, Option A is the simplest and most aligned with built-in CodeDeploy features for automated rollback based on application errors.
NEW QUESTION # 74
A company is using AWS CodePipeline to deploy an application. According to a new guideline, a member of the company's security team must sign off on any application changes before the changes are deployed into production. The approval must be recorded and retained.
Which combination of actions will meet these requirements? (Select TWO.)
Answer: B,C
Explanation:
To meet the new guideline for application deployment, the company can use a combination of AWS CodePipeline and AWS CloudTrail. A manual approval action in CodePipeline allows the security team to review and approve changes before they are deployed. This action can be configured to pause the pipeline until approval is granted, ensuring that no changes move to production without the necessary sign-off.
Additionally, by creating an AWS CloudTrail trail, all actions taken withinCodePipeline, including approvals, are recorded and delivered to an Amazon S3 bucket. This provides an audit trail that can be retained for compliance and review purposes.
References:
* AWS CodePipeline's manual approval action provides a way to ensure that a member of the security team can review and approve changes before they are deployed1.
* AWS CloudTrail integration with CodePipeline allows for the recording and retention of all pipeline actions, including approvals, which can be stored in Amazon S3 for record-keeping2.
NEW QUESTION # 75
A company has an organization in AWS Organizations. The organization includes workload accounts that contain enterprise applications. The company centrally manages users from an operations account. No users can be created in the workload accounts. The company recently added an operations team and must provide the operations team members with administrator access to each workload account.
Which combination of actions will provide this access? (Choose three.)
Answer: B,C,E
NEW QUESTION # 76
A company uses a pipeline in AWS CodePipeline to upload AWS CloudFormation templates to an Amazon S3 bucket. The pipeline uses the templates to deploy CloudFormation stacks that match the names of the templates.
The company has experienced issues when it tries to revert templates to a previous version. To prevent these issues, the company must have the ability to review template modifications before the modifications are deployed to production.
Which solution will meet these requirements with the LEAST operational overhead ?
Answer: D
Explanation:
The requirement is simply: review changes before production deployment , with the least operational overhead .
* B is the lightest change: adding a Manual approval (review) action in CodePipeline creates a controlled gate before the deploy stage. It requires no new repositories, no new services, and no custom code-just pipeline configuration.
Why not the others:
* A introduces additional moving parts (Git repo integration, PR workflow management, and CloudFormation Git sync). That's useful, but it's more operational overhead than necessary to satisfy
"review before deploy."
* C requires custom Lambda logic to inspect templates and decide whether to proceed-more code to write, run, secure, and maintain.
* D adds both Git integration and a manual approval step-again more overhead than just adding the approval gate.
So B best meets the requirement with the least operational effort: a simple manual approval stage in the pipeline before production deployment.
NEW QUESTION # 77
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