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DOP-C02 · Question #309

DOP-C02 Question #309: Real Exam Question with Answer & Explanation

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Submitted by carlos_mx· Mar 6, 2026Resilient Cloud Solutions

Question

A company has an application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue. A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to `Amazon CloudWatch Logs. The DevOps engineer needs to ensure that the queue is processed quickly. Which solution meets these requirements with the LEAST operational overhead?

Options

  • ACreate an AWS Lambda function. Configure the Lambda function to publish a custom metric by
  • BCreate an AWS Lambda function. Configure the Lambda function to publish a custom metric by
  • CCreate a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use
  • DCreate an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute

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Topics

#Auto Scaling group#Amazon SQS#Queue-based scaling#Target tracking scaling policy#CloudWatch metrics
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