Monitor performance with Base Command Manager Base View: Practice Questions — Installation and Deployment (NVIDIA-Certified Professional: AI Operations)

Practice Questions: Monitor Performance with Base Command Manager Base View

These multiple-choice questions are designed to help you prepare for the Monitor performance with Base Command Manager (BCM) Base View section of the NVIDIA-Certified Professional: AI Operations exam.

1. Which of the following best describes the primary function of Base Command Manager Base View?

   • A. Scheduling AI jobs across Kubernetes clusters
   • B. Monitoring and visualizing the performance metrics of NVIDIA AI infrastructure
   • C. Applying firmware updates to DPUs and switches
   • D. Managing user roles and permissions within the cluster

   Correct answer: B

   Explanation: Base View is the performance monitoring interface within BCM, providing real-time visualization of system metrics to help operators track AI infrastructure health.

2. In Base View, which metric would you primarily use to identify GPU utilization bottlenecks?

   • A. Network throughput
   • B. CPU temperature
   • C. GPU core utilization percentage
   • D. Disk I/O latency

   Correct answer: C

   Explanation: GPU core utilization percentage directly indicates how much of the GPU's processing power is in use, helping identify bottlenecks in GPU workloads.

3. What is the recommended action if Base View shows consistently high GPU memory usage across nodes?

   • A. Increase the number of user accounts in BCM
   • B. Apply patches and firmware updates to the DPUs
   • C. Optimize AI workloads or increase GPU resources to prevent memory saturation
   • D. Disable job scheduling on Slurm

   Correct answer: C

   Explanation: High GPU memory usage suggests workloads may be exceeding capacity; optimizing workloads or scaling resources helps maintain performance.

4. Which Base View feature allows administrators to correlate performance issues with specific jobs or users?

   • A. Role-based access control (RBAC)
   • B. Job and user-level performance dashboards
   • C. Firmware update logs
   • D. Network configuration panels

   Correct answer: B

   Explanation: Job and user-level dashboards in Base View enable detailed monitoring to pinpoint which workloads or users impact system performance.

5. How does Base Command Manager Base View integrate with cluster job schedulers like Slurm or Kubernetes?

   • A. It replaces the job scheduler entirely
   • B. It provides performance data that helps optimize job scheduling decisions
   • C. It manages user permissions for job submission
   • D. It applies firmware updates to cluster nodes

   Correct answer: B

   Explanation: Base View supplies real-time performance metrics that inform and enhance job scheduling strategies in Slurm or Kubernetes environments.

6. Which of the following is NOT a capability of Base Command Manager Base View?

   • A. Visualizing GPU and DPU performance metrics
   • B. Diagnosing cluster network issues
   • C. Installing Kubernetes on NVIDIA hosts
   • D. Monitoring firmware update status

   Correct answer: C

   Explanation: Installing Kubernetes is performed via BCM tools but not directly through the Base View monitoring interface.

7. When monitoring cluster health in Base View, what is a key indicator of potential network congestion?

   • A. High GPU temperature
   • B. Increased packet loss and latency metrics
   • C. Elevated CPU core usage
   • D. User login failures

   Correct answer: B

   Explanation: Packet loss and latency spikes in Base View’s network metrics indicate network congestion affecting cluster communication.

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