2V0-71.23 Question 71
Select 4Your organization has implemented VMware Aria Operations for Applications to monitor the performance and health of its Kubernetes-based applications. The platform team has identified challenges with application latency and wants to use Aria Operations for Applications to pinpoint root causes. Which features of Aria Operations for Applications can help the team achieve this goal?
- A
Automated anomaly detection using machine learning algorithms
- B
Real-time observability of application dependencies and topology
- C
Policy-driven Kubernetes cluster scaling
- D
Distributed tracing to identify latency bottlenecks in microservices
- E
Built-in CI/CD pipeline automation for Kubernetes workloads
- F
Custom dashboards for monitoring application performance metrics
Show answer and explanation
Correct answers: A, B, D, F
Explanation
VMware Aria Operations for Applications offers several features to help teams identify and resolve latency issues within Kubernetes-based applications. Automated anomaly detection and real-time dependency observability provide insights into performance behavior and service interactions. Distributed tracing pinpoints bottlenecks in microservices, while custom dashboards enable teams to focus on specific metrics relevant to their applications. Together, these capabilities significantly enhance the ability to diagnose and resolve latency problems effectively.
- A. Correct.
Automated anomaly detection using machine learning algorithms is a key feature of Aria Operations for Applications that helps identify unusual patterns in application performance and can assist in diagnosing root causes of issues like latency.
- B. Correct.
Real-time observability of application dependencies and topology allows teams to visually map how services interact, which is crucial for understanding where latency issues are occurring.
- C. Incorrect.
Policy-driven Kubernetes cluster scaling is not a feature of Aria Operations for Applications. This is more aligned with VMware Tanzu Kubernetes Grid and workload orchestration.
- D. Correct.
Distributed tracing is a core capability that enables teams to track requests as they flow through microservices, making it easier to locate specific latency bottlenecks.
- E. Incorrect.
Built-in CI/CD pipeline automation is not a feature of Aria Operations for Applications. This capability is typically associated with other tools like VMware Tanzu Application Platform.
- F. Correct.
Custom dashboards provide a tailored view of performance metrics, which can help teams track and diagnose latency or other performance issues.