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NVIDIA NCP-AII Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Software Stack Deployment25%- NVIDIA software components
  • 1. GPU drivers, container toolkit and runtime
    • 2. Base Command Manager and cluster management tools
      - Orchestration and workload management
      • 1. Slurm, Kubernetes and container orchestration
        • 2. NGC catalog and software deployment
          Topic 2: Networking and Storage Configuration20%- NVIDIA networking solutions
          • 1. InfiniBand and Ethernet fabric setup
            • 2. BlueField DPU configuration
              - Storage integration
              • 1. Parallel file systems and object storage
                • 2. Storage performance for AI workloads
                  Topic 3: GPU Resource Management15%- GPU scheduling and optimization
                  • 1. Workload placement and sharing
                    • 2. NVLink and fabric management
                      - Multi-Instance GPU (MIG) configuration
                      • 1. Isolation and performance tuning
                        • 2. Partitioning and resource allocation
                          Topic 4: Validation, Troubleshooting and Optimization20%- Cluster validation and benchmarking
                          • 1. HPL, NCCL and performance testing
                            • 2. Health checks and error detection
                              - Troubleshooting and maintenance
                              • 1. Performance optimization and best practices
                                • 2. Hardware and software fault isolation
                                  Topic 5: System and Server Bring-up20%- Hardware installation and validation
                                  • 1. Server, GPU, network and storage components setup
                                    • 2. Power, cooling and physical connectivity verification
                                      - Firmware and system configuration
                                      • 1. BMC, BIOS, TPM and firmware updates
                                        • 2. OS installation and base configuration

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                                          NVIDIA AI Infrastructure Sample Questions (Q188-Q193):

                                          NEW QUESTION # 188
                                          A DGX server reports degraded performance and storage alerts. How would you use NVSM and nvidia-smi to troubleshoot both system and GPU issues?

                                          Answer: D

                                          Explanation:
                                          The correct approach is to use NVSM for platform-level health and storage status, and nvidia-smi -q for detailed GPU diagnostics. NVSM is the DGX system management utility designed to summarize server health across components such as storage, power, fans, thermals, alerts, and hardware subsystems. nvsm show health gives a fast overall health view, while nvsm show storage focuses on storage components and alerts.
                                          nvidia-smi -q provides detailed GPU information, including temperature, power state, utilization, clocks, ECC status, driver details, and throttle reasons. This combination separates platform-level faults from GPU-level issues. lsblk can show block devices, but it does not provide DGX health interpretation or RAID/storage alert context. nvidia-smi -L only lists GPUs and does not diagnose degraded performance. nvsm --refresh, nvsm reset, and nvidia-smi --fix are not appropriate recovery commands for clearing or automatically repairing health problems. In NVIDIA AI infrastructure troubleshooting, administrators should collect health evidence first, identify whether the issue is storage, thermal, power, GPU, or firmware related, and then take targeted corrective action.


                                          NEW QUESTION # 189
                                          You are installing the operating system as part of the initial setup for a new NVIDIA Base Command Manager (BCM) cluster. Which two of the following actions are essential for a successful OS installation on the cluster's head node? (Pick the 2 correct responses below)

                                          Answer: A,C

                                          Explanation:
                                          Setting up the head node is the foundational step in building an NVIDIA Base Command Manager cluster.
                                          Option Bis essential because BCM is typically deployed via a specialized "installer ISO" that contains the customized OS (RHEL or Ubuntu base) and the Bright Cluster Manager software stack. Verifying the checksum ensures that no corruption occurred during download, preventing mysterious installation failures.
                                          Option Dis equally critical because AI clusters rely heavily on synchronized clocks for log aggregation, authentication tokens (like LDAP/Active Directory), and performance monitoring across multiple nodes. If NTP (Network Time Protocol) is not configured during the initial wizard, the resulting time drift can cause the cmdaemon to fail synchronization between the head node and the compute nodes. Modern NVIDIA DGX systems require UEFI boot; therefore, Legacy mode (Option C) is incorrect. PXE configuration (Option A) is a post-installation task that is managed by the head node once the BCM software is already running.


                                          NEW QUESTION # 190
                                          A DGX server reports degraded performance and storage alerts. How would you use NVSM (NVIDIA System Management) and nvidia-smi to troubleshoot both system and GPU issues?

                                          Answer: A

                                          Explanation:
                                          nvsm show health provides the overall DGX system health summary, while nvsm show storage focuses on storage-related alerts and status. nvidia-smi -q provides detailed GPU diagnostics such as temperature, power, clocks, ECC, utilization, and error information, making this the best combined approach for troubleshooting both storage/system and GPU performance issues.


                                          NEW QUESTION # 191
                                          Which statement best explains why maintaining high cable signal quality is essential in modern high-speed data centers?

                                          Answer: C

                                          Explanation:
                                          High cable signal quality keeps bit error rates low, which is critical for reliable high-speed Ethernet or InfiniBand communication. Low BER reduces retransmissions, congestion, latency spikes, and workload stalls, helping maintain stable high-throughput performance during sustained AI cluster traffic.


                                          NEW QUESTION # 192
                                          You are configuring a Mellanox InfiniBand network for a DGXAIOO cluster. What is the RECOMMENDED subnet manager for a large, high-performance A1 training environment, and why?

                                          Answer: A

                                          Explanation:
                                          UFM is the recommended subnet manager for large A1 training environments using DGX systems. It offers advanced features like real-time monitoring, congestion control, adaptive routing, and telemetry, which are crucial for maximizing performance and stability in demanding workloads. OpenSM lacks these advanced features and is not suitable for large, performance-critical clusters.


                                          NEW QUESTION # 193
                                          ......

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