NCP-AIO EXAM OBJECTIVES PDF & EXAM NCP-AIO QUESTIONS ANSWERS

NCP-AIO Exam Objectives Pdf & Exam NCP-AIO Questions Answers

NCP-AIO Exam Objectives Pdf & Exam NCP-AIO Questions Answers

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Tags: NCP-AIO Exam Objectives Pdf, Exam NCP-AIO Questions Answers, Training NCP-AIO For Exam, NCP-AIO Latest Dumps, NCP-AIO Valid Exam Braindumps

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NVIDIA AI Operations Sample Questions (Q79-Q84):

NEW QUESTION # 79
When configuring a DOCA application that utilizes shared memory between the host and the DPU, which DOCA service is typically employed to facilitate this communication, and what are its benefits?

  • A. DOCA DMA: Enables direct memory access between the host and the DPU without CPU intervention, resulting in high-bandwidth data transfer.
  • B. DOCA Flow: Manages network traffic flows but does not directly address shared memory communication.
  • C. DOCA Comm Channel: Offers a low-latency communication channel for control messages but is not suitable for large data transfers.
  • D. DOCA Telemetry: Provides performance monitoring but does not facilitate shared memory usage.
  • E. DOCA Memory Domain (MD): Provides a unified memory space accessible by both the host and the DPU, simplifying data sharing and synchronization.

Answer: E

Explanation:
DOCA Memory Domain (MD) allows creating shared memory regions accessible to both the host and the DPU, which greatly simplifies data sharing and synchronization. DMA enables direct memory transfers, but MD provides a managed, unified memory space.


NEW QUESTION # 80
You are deploying a DOCA application that needs to interact with the host operating system for certain tasks. What are the potential challenges and solutions for achieving this interaction securely and efficiently?

  • A. Solutions: Direct Memory Access on non secured memory for performance
  • B. Challenges: Difficulty in debugging and troubleshooting issues across the host-DPU boundary. Solutions: Using comprehensive logging and tracing mechanisms, implementing remote debugging tools, and establishing clear communication channels between the host and DPU components.
  • C. Challenges: Kernel module compatibility issues and potential conflicts with host drivers. Solutions: Using standard Linux APIs whenever possible, avoiding direct kernel module modifications, and testing thoroughly for compatibility.
  • D. Challenges: Resource contention between the host and DPU applications. Solutions: Using proper resource allocation and prioritization mechanisms, such as cgroups and QOS policies, to prevent resource starvation.
  • E. Challenges: Limited direct access to host resources, security concerns, and potential performance overhead. Solutions: Using DOCA Comm Channel for control message exchange, utilizing shared memory for data transfer, and employing secure APIs for host interaction.

Answer: B,C,D,E

Explanation:
Interacting with the host OS poses several challenges, including limited access, security concerns, and potential conflicts. The solutions involve using secure communication channels, standard APIs, comprehensive debugging mechanisms, and resource allocation policies. Direct Memory access on non-secured memory is not a solution for secure and efficient communication.


NEW QUESTION # 81
Your BCM pipeline includes a stage that performs data augmentation. You suspect this stage is a bottleneck. How can you profile and optimize this stage?

  • A. Cache the augmented data to avoid redundant computations.
  • B. Adjust the data augmentation parameters (e.g., number of augmentations) to reduce the computational load.
  • C. All of the above.
  • D. Implement data augmentation on the GPU using libraries like DALI or cuClM.
  • E. Use NVIDIA Nsight Systems to profile the execution of the data augmentation stage.

Answer: C

Explanation:
Nsight Systems helps identify performance bottlenecks. GPU acceleration speeds up computations. Adjusting parameters reduces load. Caching avoids redundant work. All are valid optimization strategies.


NEW QUESTION # 82
A user complains that their AI training job is running very slowly. Upon investigation, you discover that the pod is scheduled onto a node with a slow network connection, causing significant delays in data transfer. How would you ensure that future similar jobs are scheduled onto nodes with faster network connections?

  • A. Configure the kubelet to prioritize pods based on their network usage.
  • B. Implement node affinity rules based on network bandwidth labels, and label the nodes appropriately.
  • C. Increase the resource requests for the pod to trigger rescheduling.
  • D. Manually reschedule the pod onto a node with a faster network.
  • E. Use inter-pod affinity to force the job onto nodes already running network-intensive workloads.

Answer: B

Explanation:
The correct answer is B. By labeling nodes with their network bandwidth capabilities (e.g., 'network-bandwidth: 100GbpS), you can then use node affinity rules in your pod specifications to ensure that jobs requiring high bandwidth are scheduled onto suitable nodes. Option A is a temporary fix. Options C and D do not address the core issue of network bandwidth. Option E would exacerbate the problem by concentrating network-intensive workloads on the same nodes.


NEW QUESTION # 83
You need to configure BCM to send alerts when a GPU's temperature exceeds a critical threshold. Where would you configure this alerting policy within BCM?

  • A. By creating a custom Prometheus rule and integrating it with BCM.
  • B. Within the DCGM configuration files on the GPU nodes.
  • C. Through the BCM web interface, in the 'Alerting Policies' section.
  • D. Using the 'nvidia-smi' command-line tool to set temperature thresholds and trigger alerts.
  • E. In the 'bcm_config.yaml' file.

Answer: C

Explanation:
BCM provides a dedicated 'Alerting Policies' section in its web interface where you can define rules and thresholds for various metrics, including GPU temperature. You can configure the specific threshold, the alert severity, and the notification channels (e.g., email, Slack). Other options are either not directly supported or are more complex and less integrated.


NEW QUESTION # 84
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