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NVIDIA NVIDIA AI Operations Exam Questions in 3 User-Friendly Formats
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NVIDIA AI Operations Sample Questions (Q32-Q37):
NEW QUESTION # 32
You're optimizing a BCM pipeline that processes images. You notice that the CPU is consistently at 100% utilization, while the GPU is underutilized. Which optimization strategy is MOST likely to improve performance?
- A. Implement asynchronous data transfer between the CPU and GPIJ.
- B. Reduce the image resolution to decrease the CPU load.
- C. Offload CPU-intensive image preprocessing operations to the GPIJ.
- D. A and D
- E. Increase the number of CPU threads allocated to the BCM pipeline.
Answer: D
Explanation:
Offloading CPU-intensive tasks to the underutilized GPU and implementing asynchronous data transfer are both effective strategies to reduce CPU bottleneck and utilize GPU resources more efficiently.
NEW QUESTION # 33
What two (2) platforms should be used with Fabric Manager? (Choose two.)
- A. DGX
- B. HGX
- C. L40S Certified
- D. GeForce Series
Answer: A,B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
NVIDIA Fabric Manager is designed to manage and optimize fabric resources like NVLink and NVSwitch in enterprise-class platforms such as HGX and DGX systems. These platforms have the necessary hardware fabric components. The L40S Certified and GeForce series are either not compatible or do not require Fabric Manager.
NEW QUESTION # 34
You are using BCM to manage a large cluster of GPU servers. You want to implement a mechanism to automatically scale the number of BCM instances based on the load. What Kubernetes feature would be MOST suitable for this purpose?
- A. Vertical Pod Autoscaler (VPA)
- B. Horizontal Pod Autoscaler (HPA)
- C. kube-scheduler
- D. Node Auto-Provisioning
- E. Cluster Autoscaler
Answer: B
Explanation:
The Horizontal Pod Autoscaler (HPA) is the most suitable Kubernetes feature for automatically scaling the number of BCM instances (pods) based on resource utilization (e.g., CPU, memory). HPA monitors the resource usage of the BCM pods and automatically adjusts the number of replicas to maintain the desired resource levels. VPA adjusts the resource requests and limits of individual pods. Cluster Autoscaler adds or removes nodes from the cluster. Node Auto-Provisioning is related to node management. Kube-scheduler schedules pods onto nodes.
NEW QUESTION # 35
Which of the following are benefits of using NVIDIA Fleet Command (Select all that apply)?
- A. Simplified AI model deployment and management at the edge.
- B. Centralized monitoring and management of edge devices.
- C. Enhanced security and access control for AI deployments.
- D. Automatic GPU driver updates for non-NVIDIA GPUs.
- E. Automated over-the-air (OTA) updates for AI models and system software.
Answer: A,B,C,E
Explanation:
Fleet Command provides simplified deployment (A), centralized monitoring (B), OTA updates (C), and enhanced security (D). It does not provide driver updates for non-NVIDIA GPUs (E).
NEW QUESTION # 36
You want to deploy a container from NGC using Helm. The container requires a persistent volume for storing model checkpoints. Which of the following Helm chart configurations is necessary to achieve this?
C]
C]
- A. Create a Kubernetes 'PersistentVolume' manually and reference it in the Helm chart's 'values.yamr file.
- B. Mount a shared network drive directly to the container without using Kubernetes persistent volumes.
- C. Directly specify the persistent volume in the container's deployment manifest within the Helm chart.
- D. Define a 'PersistentVolumeClaim' in the Helm chart's 'values.yamr file and mount it to the container's volume.
- E. Use the 'hostPath' volume type to directly mount a directory on the host machine.
Answer: A,D
Explanation:
A and D are correct. A 'PersistentVolumeClaims allows the container to request persistent storage dynamically. Alternatively, a pre- existing 'PersistentVolume' can be referenced. B bypasses Helm's templating capabilities. C is discouraged for production environments due to portability issues. E avoids Kubernetes' volume management capabilities.
NEW QUESTION # 37
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