2V0-71.23 exam dumps

2V0-71.23 practice question 310 of 355

VMware Certified Professional - Tanzu for Kubernetes Operations 2024. Associate level, VMware. Free question with the correct answer and a full explanation.

2V0-71.23 Question 310

Select 3

An organization is using VMware Aria Operations for Applications to monitor their Kubernetes environment. Which of the following components are key functionalities or features of Aria Operations for Applications?

  1. A

    Application-level monitoring and observability

  2. B

    Provisioning and lifecycle management of Kubernetes clusters

  3. C

    Tracing and troubleshooting using distributed tracing

  4. D

    Real-time log aggregation and analytics

  5. E

    Automated scaling of Kubernetes worker nodes

Show answer and explanation

Correct answers: A, C, D

Explanation

VMware Aria Operations for Applications is designed for application-level observability in Kubernetes environments. Its core capabilities include monitoring application performance, distributed tracing for troubleshooting, and log aggregation for insights. It does not handle Kubernetes cluster lifecycle management or node scaling, as these are out of its scope and handled by other tools or Kubernetes-native functionalities.

  • A. Correct.

    Application-level monitoring and observability is a core feature of Aria Operations for Applications, providing deep insights into application performance and health.

  • B. Incorrect.

    Provisioning and lifecycle management of Kubernetes clusters is not a functionality of Aria Operations for Applications. This is typically handled by tools like Tanzu Mission Control or Kubernetes-native tools.

  • C. Correct.

    Distributed tracing is a key feature of Aria Operations for Applications, allowing users to trace and troubleshoot the flow of requests across microservices.

  • D. Correct.

    Real-time log aggregation and analytics is a functionality of Aria Operations for Applications, enabling users to centralize and analyze logs for better application insights.

  • E. Incorrect.

    Automated scaling of Kubernetes worker nodes is not a function of Aria Operations for Applications. Scaling is typically managed by Kubernetes itself or additional tools like the Cluster Autoscaler.

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