VCP-CMA 2024 exam dumps

VCP-CMA 2024 practice question 154 of 269

VMware Certified Professional - Cloud Management and Automation 2024. Associate level, VMware. Free question with the correct answer and a full explanation.

VCP-CMA 2024 Question 154

Single answer

A cloud administrator is troubleshooting a failed provisioning request in VMware Aria Automation. The deployment log shows the following error: 'Resource allocation failed: Insufficient CPU resources on the target compute cluster.' What is the most appropriate action the administrator should take to resolve this issue?

  1. A

    Verify the compute cluster's resource availability and free up CPU capacity if necessary.

  2. B

    Increase the disk space allocated to the deployment template in the blueprint.

  3. C

    Review the network profile associated with the deployment to ensure proper IP allocation.

  4. D

    Modify the machine's placement policy in the blueprint to target a different compute cluster.

Show answer and explanation

Correct answer: A

Explanation

When troubleshooting provisioning errors in VMware Aria Automation, it is important to analyze the error message for clues about the root cause. In this case, the error clearly states 'Insufficient CPU resources on the target compute cluster,' which means the administrator needs to verify and potentially free up CPU capacity on the compute cluster. Other options either address unrelated issues or provide temporary workarounds rather than solving the root cause.

  • A. Correct.

    This is the correct option. The error explicitly indicates insufficient CPU resources on the target compute cluster. Verifying and addressing resource availability on the cluster is the appropriate step.

  • B. Incorrect.

    This is incorrect. The error message concerns CPU resources, not disk space, so increasing disk space will not resolve the issue.

  • C. Incorrect.

    This is incorrect. The error is related to CPU resources, not network configuration or IP allocation.

  • D. Incorrect.

    This is incorrect. While modifying the placement policy might avoid the issue temporarily, it does not address the root cause, which is insufficient CPU resources on the original target cluster.

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