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| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Fundamentals | 15-20% | - GPU architecture basics - AI and Deep Learning concepts - Data center infrastructure requirements - NVIDIA software stack overview |
| Monitoring and Management | 15-20% | - Performance monitoring - Troubleshooting basics - NVIDIA management tools - Resource utilization |
| Deployment and Configuration | 25-30% | - Software deployment - Network configuration - System installation and setup - Cluster configuration |
| Security and Best Practices | 10-15% | - Security fundamentals - Operational best practices - Compliance considerations |
| NVIDIA AI Infrastructure Components | 25-30% | - NVIDIA AI Enterprise software - Storage solutions for AI workloads - NVIDIA networking solutions (Mellanox) - NVIDIA DGX systems |
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NEW QUESTION # 34
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: C,D
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 # 35
You're monitoring the storage I/O for an AI training workload and observe high disk utilization but relatively low CPU utilization. Which of the following actions is LEAST likely to improve the performance of the training job?
Answer: A
Explanation:
High disk utilization and low CPU utilization indicate an 1/0 bottleneck. Switching to faster storage (A), prefetching data (B), increasing the batch size (C), and adding more RAM (D) can all help alleviate the I/O bottleneck. Reducing the number of parallel data loading threads (E) would likely worsen the bottleneck by underutilizing the available 1/0 bandwidth.
NEW QUESTION # 36
You are installing the operating system as part of the initial setup for a new NVIDIA Base Command Manager 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: C,D
Explanation:
The correct actions are to download and verify the BCM ISO, and to set time zone and NTP synchronization during installation. NVIDIA DGX BasePOD deployment guidance for BCM head nodes instructs administrators to download the appropriate BCM ISO and validate the downloaded file by verifying its checksum. This ensures the installation media has not been corrupted or replaced. The same guidance also expects the head node installation to be performed from valid installation media, often using virtual media through the appliance BMC. Time zone and NTP configuration are essential in cluster control-plane environments because logs, certificates, scheduler events, monitoring data, authentication, and distributed troubleshooting depend on accurate and consistent time. Configuring compute-node PXE boot before the head node OS installation is premature because the head node and BCM services usually provide the management foundation for provisioning compute nodes. Legacy BIOS boot is not the recommended approach for modern DGX and BCM deployments; NVIDIA guidance for appliance preparation shows UEFI boot mode. A reliable BCM control plane starts with validated installation media and correct time synchronization.
NEW QUESTION # 37
You are managing a cluster of servers with NVIDIA GPUs. You want to automate the process of installing and updating NVIDIA drivers across all nodes. Which of the following approaches would be the most scalable and maintainable?
Answer: A,E
Explanation:
Configuration management tools (Ansible, Chef, Puppet) provide the most scalable and maintainable solution. They allow you to define the desired state of the system and automatically enforce it across all nodes. NVIDIA's container toolkit encapsulates the driver and provides a consistent, isolated environment. Manually SSHing is not scalable. While 'pdsh' and 'parallel' can automate the execution of commands, they lack the robust error handling and state management of configuration management tools. NFS distribution requires managing the installation process separately on each server.
NEW QUESTION # 38
One of the nodes in a cluster is not running as fast as the others and the system administrator needs to check the status of the GPUs on that system. What command should be used?
Answer: D
Explanation:
The nvidia-smi (NVIDIA System Management Interface) utility is the primary tool for monitoring and managing the state of NVIDIA GPUs. When a node exhibits "jitter" or lower performance compared to its peers in a cluster, nvidia-smi provides the necessary granular data to identify the bottleneck. It reports critical metrics such as GPU utilization percentages, memory usage, and, most importantly, "Clocks Throttle Reasons." If a GPU is running slower due to power capping, thermal issues, or a hardware error (like an uncorrectable ECC error), nvidia-smi will display this state immediately. While lspci (Option A) can confirm if the GPU is physically visible on the PCIe bus, it cannot provide any telemetry regarding its operational performance or health. iblinkinfo (Option D) is a network-level tool that only monitors InfiniBand link states.
In an AI infrastructure context, nvidia-smi is the first-line diagnostic to determine if a GPU is "healthy" and operating at its intended clock speeds.
NEW QUESTION # 39
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