NCA-AIIO Question 96
Select 4An AI data center is experiencing significant performance degradation during training workloads. As an AI infrastructure operations associate, which monitoring and management essentials should you prioritize to diagnose the issue?
- A
Monitoring GPU utilization and memory usage across all nodes
- B
Analyzing network bandwidth and latency between servers
- C
Updating all AI frameworks to the latest version immediately
- D
Checking thermal conditions and cooling efficiency in the data center
- E
Reviewing job scheduling and resource allocation policies
Show answer and explanation
Correct answers: A, B, D, E
Explanation
To effectively manage and monitor an AI data center, it is essential to focus on GPU utilization, memory usage, network performance, thermal conditions, and job scheduling. These factors are critical in diagnosing performance issues in AI training workloads. Framework updates, while important, are not directly related to diagnosing performance degradation and should be approached cautiously after root cause analysis.
- A. Correct.
Monitoring GPU utilization and memory usage is critical in AI workloads to identify potential bottlenecks or underutilized resources.
- B. Correct.
Network bandwidth and latency directly impact the performance of distributed AI workloads, especially during training phases.
- C. Incorrect.
Updating AI frameworks immediately without diagnosing the root cause may introduce instability or new issues unrelated to the performance degradation.
- D. Correct.
Thermal conditions and cooling efficiency can impact GPU and overall system performance, especially under heavy workloads, and must be checked.
- E. Correct.
Job scheduling and resource allocation policies should be reviewed to ensure that resources are optimally utilized and not causing contention.