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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified DevOps Engineer - Professional |
| Exam Number: | DOP-C02 |
| Related Certifications: | AWS Certified SysOps Administrator - Associate AWS Certified Developer - Associate |
| Exam Format: | Multiple response, Multiple choice |
| Exam Price: | 300 USD |
| Passing Score: | 750 (scaled score 100–1000) |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 180 minutes |
| Available Languages: | Traditional Chinese, English, Japanese, Simplified Chinese, Korean |
| Real Exam Qty: | 75 (65 scored, 10 unscored) |
| Recommended Training: | AWS Certified DevOps Engineer - Professional Exam Guide AWS Training and Certification |
| Exam Registration: | Pearson VUE Registration AWS Certification 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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Amazon DOP-C02: AWS Certified DevOps Engineer - Professional Exam is an essential certification for DevOps professionals who want to validate their skills and knowledge in AWS services and DevOps practices. AWS Certified DevOps Engineer - Professional certification can significantly enhance a candidate's career opportunities by providing them with the necessary skills to design and manage complex systems that support continuous delivery and integration. With proper preparation and hard work, candidates can Pass DOP-C02 Exam and become certified AWS DevOps engineers.
NEW QUESTION # 439
A security team wants to use AWS CloudTrail to monitor all actions and API calls in multiple accounts that are in the same organization in AWS Organizations. The security team needs to ensure that account users cannot turn off CloudTrail in the accounts.
Which solution will meet this requirement?
Answer: A
Explanation:
To ensure that CloudTrail cannot be disabled in any member account, the control must be enforced above the individual accounts, at the organization level, and must not be overridable by local administrators. AWS Service Control Policies (SCPs) provide exactly this capability: they define permission guardrails that apply to all IAM users, roles, and even the root user in accounts within an AWS Organizations OU.
By applying an SCP that explicitly denies cloudtrail:StopLogging and cloudtrail:DeleteTrail, the organization prevents any principal in the affected accounts from disabling logging or deleting the trails, regardless of their IAM permissions. This provides strong, centralized enforcement of audit logging.
Option B uses IAM policies in each account. Local administrators with sufficient privileges could modify or detach those policies, defeating the control. Option C only sends notifications and does not prevent the action. Option D with AWS Config auto-remediation still allows a window where CloudTrail is disabled and also can be disabled or modified itself.
Therefore, the most robust and least bypassable approach is to use an SCP at the OU level to deny CloudTrail stop and delete actions.
NEW QUESTION # 440
A company uses Amazon RDS for Microsoft SQL Server as its primary database. They need high availability within and across AWS Regions, with an RPO <1 min and RTO <10 min. Route 53 CNAME is used for the DB endpoint and must redirect to standby during failover.
Which solution meets these requirements?
Answer: C
Explanation:
* RDS Multi-AZ withcross-Region read replicasprovides synchronous replication with near-zero data loss and supports fast failover with RPO < 1 min and RTO < 10 min.
* Automation can promote replicas and update Route 53 CNAME to redirect traffic during failover.
* Options B, C, and D rely on snapshots, backups, or DMS, which cannot guarantee such low RPO/RTO and require manual intervention or complex automation.
References:
Amazon RDS Multi-AZ Deployments
Amazon RDS Cross-Region Read Replicas
NEW QUESTION # 441
A DevOps team manages infrastructure for an application. The application uses long-running processes to process items from an Amazon Simple Queue Service (Amazon SQS) queue. The application is deployed to an Auto Scaling group.
The application recently experienced an issue where items were taking significantly longer to process. The queue exceeded the expected size, which prevented various business processes from functioning properly.
The application records all logs to a third-party tool.
The team is currently subscribed to an Amazon Simple Notification Service (Amazon SNS) topic that the team uses for alerts. The team needs to be alerted if the queue exceeds the expected size.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: D
Explanation:
The Amazon SQS service publishes several standard CloudWatch metrics by default, including ApproximateNumberOfMessagesVisible, which represents the number of messages available for retrieval from the queue (i.e., the number of messages waiting to be processed). This is the primary metric to monitor queue backlog and processing delays.
* Using ApproximateNumberOfMessagesVisible to monitor the visible messages in the queue gives a direct and near real-time indication of processing delays or backlog.
* CloudWatch metrics are automatically collected and available without the need to create custom metrics or Lambda functions, which increases operational efficiency by reducing complexity and maintenance overhead.
* Setting a CloudWatch alarm on this metric with a static threshold and a reasonable evaluation period (such as 1 hour) is sufficient to alert the team when the queue grows beyond an expected size.
* The alarm can be directly configured to send notifications to an existing SNS topic, maintaining seamless integration with the team's alerting mechanisms.
The ApproximateNumberOfMessagesDelayed metric refers to messages that are delayed and not available for processing yet due to delay settings, which is not the direct backlog that causes business process delays.
Options C and D introduce unnecessary complexity by requiring Lambda functions and custom metrics or scheduled invocations, which reduce operational efficiency compared to using built-in CloudWatch metrics and alarms.
Reference from AWS Official Documentation and Study Guide:
* Amazon SQS Monitoring with CloudWatch Metrics: " Amazon SQS automatically sends metrics to CloudWatch, including ApproximateNumberOfMessagesVisible, which shows the number of messages available for retrieval. " (Source: Amazon SQS Monitoring - AWS Documentation)
* Setting CloudWatch Alarms for SQS Queues: " You can create CloudWatch alarms on SQS metrics such as ApproximateNumberOfMessagesVisible to receive notifications when the queue size exceeds a threshold. " (Source: Amazon CloudWatch Alarms - AWS Documentation)
* AWS DevOps Engineer Professional Exam Guide: " Efficient alerting for queue backlogs should leverage native CloudWatch metrics to minimize operational overhead. " (Source: Official AWS Certified DevOps Engineer Professional Study Guide)
NEW QUESTION # 442
A development team manually builds a local artifact. The development team moves the artifact to an Amazon S3 bucket to support an application. The application has a local cache that must be cleared when the development team deploys the application to Amazon EC2 instances. For each deployment, the development team runs a command to clear the cache, download the artifact from the S3 bucket, and unzip the artifact to complete the deployment.
The development team wants to migrate the deployment process to a CI/CD process and to track the progress of each deployment.
Which combination of actions will meet these requirements with the MOST operational efficiency? (Select THREE.)
Answer: B,D,F
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Use CodePipeline with a Git source to orchestrate the flow, CodeBuild to produce versioned artifacts in S3, and CodeDeploy to EC2 with lifecycle hooks (e.g., BeforeInstall) to run cache-clearing and unpack steps.
This gives end-to-end visibility, rollbacks, and standardized deployments.
NEW QUESTION # 443
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: A
Explanation:
Explanation
https://aws.amazon.com/blogs/devops/how-to-test-and-debug-aws-codedeploy-locally-before-you-ship-your-cod
NEW QUESTION # 444
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