Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

Comprehensive and Detailed Explanation From Exact Extract:

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)

Comprehensive and Detailed Explanation From Exact Extract:

The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.

To achieve this, a best practice is to use a staging bucket as a control point before files go to production, combined with Amazon Macie’s data classification capabilities.

Creating a custom data identifier in Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.

By running a Macie sensitive data discovery job on the staging bucket, you can identify files containing these sensitive product IDs.

Only files without findings (i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed.This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk.Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.

Reference from AWS Official Documentation and Study Guide:

Amazon Macie Custom Data Identifiers:"You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization."(Amazon Macie User Guide)

Data Security Best Practices:"Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks."(AWS Security Best Practices)

Comprehensive and Detailed Explanation From Exact Extract:

The operating system (Amazon Linux) uses yum for package management. To use both the default and a custom repository, the simplest method is to add the custom repository configuration file under /etc/yum.repos.d/ using the yum-config-manager CLI, and enable it. This allows the system to access both repositories during patching automatically.

This approach requires minimal setup and effort and leverages the existing yum patching mechanisms.

Option A and D involve managing multiple patch baselines in Systems Manager Patch Manager, which does not natively support custom repositories — it relies on the underlying OS package manager.

Option B (Direct Connect) is not necessary unless network connectivity is an issue.

Thus, option C meets the requirement with the least effort.