Pass Using NCP-MCA Exam Dumps

The correct method to result in unique names per VM when scaling out a Service in a Calm Blueprint is to use the macro variable @@{calm_array_index}@@ in the Service VM Name field (Option B). This variable will append a unique index number to each VM name based on the scale-out count. For example, if the Service VM Name is MyAppVM-@@{calm_array_index}@@ and the scale-out count is 3, the resulting VM names will be MyAppVM-0, MyAppVM-1, and MyAppVM-2. Option A is incorrect because the tag in the sysprep file will only affect the hostname of the guest OS, not the VM name in the cloud provider. Option C is incorrect because calling an external Python eScript to register the VM name in DNS will not change the VM name in the cloud provider either. Option D is incorrect because setting the VM Name field to allow user edits at launch will require manual input from the user for each VM, which is not scalable or automated.

References: The information can be verified from Nutanix official training and certification documents available at Nutanix Training & Certification. You can also check out the Nutanix Certified Professional - Multicloud Automation (NCP-MCA) 6.5 Exam guide for more details on the exam objectives and format. Additionally, you can watch the Nutanix Calm - Multicloud Automation playlist on YouTube for some video tutorials on Nutanix Calm features and functionalities.

To automate the reduction of vCPUs in a VM on a specific schedule, the administrator should create a playbook triggered at a specified time. This playbook can be scheduled to run at 1:00 AM on the following Sunday and perform the task of reducing the number of vCPUs in the VM.

References:

Nutanix documentation on Playbook Scheduling.

Nutanix Best Practices for Automating VM Tasks.

 The styx.log file contains the logs related to blueprint packaging and deployment. It can be accessed by SSHing to Prism Central and navigating to the /home/calm/log directory. The other options are not relevant for blueprint package failures, as they show the application status, audit events, or service logs. References: Nutanix Certified Professional - Multicloud Automation (NCP-MCA) 6.5 Exam Blueprint Guide, page 9; Nutanix Certified Professional - Multicloud Automation (NCP-MCA), section 3; NCP-MCA Exam Dumps - Nutanix Certified Professional - Multicloud …, question 63.

The most optimal way to correct the failed deployment is to retry the failed deployment. This option allows the administrator to resume the deployment from the point of failure, without having to redeploy the entire application or create a new runbook. Retrying the failed deployment also preserves the application state and configuration, and avoids creating duplicate resources or conflicts.

Redeploying the application is not the best option, because it requires the administrator to delete the existing application and launch a new one from scratch. This option wastes time and resources, and may result in data loss or inconsistency.

Creating a runbook to retry is also not the best option, because it requires the administrator to write a custom script or workflow to handle the retry logic. This option adds complexity and overhead to the automation process, and may not be compatible with the original blueprint or application.

Rewriting the blueprint to have error handling is a valid option, but it is not the most optimal one. This option requires the administrator to modify the blueprint code and add logic to handle different types of errors and exceptions. This option improves the robustness and reliability of the blueprint, but it does not correct the failed deployment itself. The administrator still has to redeploy the application or retry the failed deployment after rewriting the blueprint.

References:

Nutanix Calm User Guide: Chapter 6: Managing Applications

Nutanix Calm DSL User Guide: Chapter 4: Blueprints

Nutanix Certified Professional - Multicloud Automation (NCP-MCA) Exam Blueprint Guide: Section 3: Validate Blueprints, Runbooks, Playbooks, and Automation Settings