Deploy DOCA Services on DPU Arm: Practice Questions — Installation and Deployment (NVIDIA-Certified Professional: AI Operations)

Practice Questions: Deploy DOCA Services on DPU Arm

These multiple-choice questions are designed to help you prepare for the Deploy DOCA Services on DPU Arm section of the NVIDIA-Certified Professional: AI Operations exam. Each question includes four options, the correct answer, and a brief explanation.

1. What is the primary purpose of deploying DOCA Services on a DPU Arm?

   • A. To accelerate GPU compute workloads
   • B. To offload and manage networking, security, and storage tasks
   • C. To replace the Kubernetes control plane
   • D. To monitor AI model training progress

   Correct Answer: B

   Explanation: DOCA Services on DPU Arm are designed to offload and manage networking, security, and storage functions from the host CPU, improving overall system efficiency.

2. Which tool is commonly used to initialize and manage DOCA Services deployment on NVIDIA DPUs?

   • A. Base Command Manager (BCM)
   • B. Slurm
   • C. Run:AI
   • D. NVIDIA Mission Control

   Correct Answer: A

   Explanation: Base Command Manager (BCM) provides the interface to install, configure, and monitor DOCA Services on DPUs within an NVIDIA AI infrastructure.

3. Before deploying DOCA Services on a DPU Arm, which of the following must be ensured?

   • A. Kubernetes is installed and initialized on the host
   • B. Slurm job scheduler is disabled
   • C. Firmware on the GPU is updated
   • D. User accounts are removed from BCM

   Correct Answer: A

   Explanation: Kubernetes must be installed and initialized on the NVIDIA host to orchestrate containerized DOCA Services deployment on the DPU Arm.

4. What is the recommended method to apply patches and firmware updates to DOCA Services on the DPU?

   • A. Manual updates via SSH on each DPU
   • B. Using BCM to synchronize images and apply updates
   • C. Reinstalling the entire AI infrastructure
   • D. Updating the host OS only

   Correct Answer: B

   Explanation: BCM supports image synchronization and patch management, enabling streamlined updates of DOCA Services and DPU firmware across the cluster.

5. Which networking configuration is critical when deploying DOCA Services on DPU Arm?

   • A. Configuring host-only networking
   • B. Setting up cluster node IP addresses and switch connectivity
   • C. Disabling DPUs to reduce network traffic
   • D. Using default DHCP settings without modification

   Correct Answer: B

   Explanation: Proper configuration of cluster node networking, including DPUs and switches, is essential to ensure DOCA Services operate correctly and communicate within the AI infrastructure.

6. Which of the following best describes a key benefit of deploying DOCA Services on DPU Arm in AI Operations?

   • A. Reduces the need for GPU acceleration
   • B. Enhances security and performance by offloading tasks from the CPU
   • C. Eliminates the need for Kubernetes
   • D. Simplifies user account management

   Correct Answer: B

   Explanation: DOCA Services running on DPU Arm offload networking, security, and storage tasks from the CPU, improving overall cluster performance and security.

7. When diagnosing issues with DOCA Services on the DPU Arm, which BCM feature is most useful?

   • A. Base View for monitoring performance metrics
   • B. Slurm job scheduling logs
   • C. Run:AI resource allocation dashboard
   • D. Kubernetes pod logs only

   Correct Answer: A

   Explanation: Base View in BCM provides detailed performance monitoring and diagnostics for DOCA Services and DPUs, aiding in troubleshooting deployment issues.

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