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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: NVIDIA AI Infrastructure Components | 25-30% | - NVIDIA DGX systems - Storage solutions for AI workloads - NVIDIA networking solutions (Mellanox) - NVIDIA AI Enterprise software |
| Topic 2: Deployment and Configuration | 25-30% | - System installation and setup - Cluster configuration - Software deployment - Network configuration |
| Topic 3: Security and Best Practices | 10-15% | - Compliance considerations - Operational best practices - Security fundamentals |
| Topic 4: AI Infrastructure Fundamentals | 15-20% | - AI and Deep Learning concepts - NVIDIA software stack overview - Data center infrastructure requirements - GPU architecture basics |
| Topic 5: Monitoring and Management | 15-20% | - Resource utilization - Performance monitoring - Troubleshooting basics - NVIDIA management tools |
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NEW QUESTION # 33
When setting up a multi-server, multi-GPU environment using NVLink switches, what is the primary consideration when planning the network topology for optimal performance?
Answer: D
Explanation:
The primary goal is to reduce latency and maximize bandwidth. Minimizing hops between frequently communicating GPUs is essential for achieving this. Server placement for cooling is a secondary concern, and topology choice should prioritize performance over simplicity. Subnet configuration and server placement relative to the network edge are less critical for NVLink-specific performance.
NEW QUESTION # 34
What is the primary function of the NVIDIA Container Toolkit, and how does it facilitate the use of GPUs within containerized environments? (Multiple Answers)
Answer: B,E
Explanation:
The NVIDIA Container Toolkit allows containers to access and utilize NVIDIA GPUs by injecting the necessary drivers and libraries into the container runtime environment and It enables monitoring of GPU utilization within containers. While it requires proper drivers to be installed, the toolkit does not manage host drivers directly. The NVIDIA container toolkit relies on container runtimes, and container runtimes manage the container lifecycle. The container toolkit does not automatically install drivers inside containers.
NEW QUESTION # 35
A healthcare organization is deploying an AI system to analyze patient data for predictive diagnostics. The system must comply with strict data protection regulations such as HIPAA, ensuring that sensitive information remains confidential and secure. Considering the need for robust security measures, which combination of strategies should the organization prioritize to protect against data breaches and ensure regulatory compliance?
Answer: A
Explanation:
Data masking protects sensitive patient information during processing by obscuring confidential values, while role-based access control limits access to only authorized users based on job responsibilities. Together, these controls help reduce exposure of protected health information and support compliance with strict healthcare data protection requirements.
NEW QUESTION # 36
You are deploying a new A1 cluster using RoCEv2 over a lossless Ethernet fabric. Which of the following QOS (Quality of Service) mechanisms is critical for ensuring reliable RDMA communication?
Answer: C
Explanation:
PFC (Priority Flow Control) is essential for RoCEv2 over Ethernet. It prevents packet loss due to congestion by pausing traffic on a specific link, ensuring reliable RDMA communication. DSCP is used for traffic prioritization but doesn't prevent loss. ECN signals congestion but relies on endpoints to react. ACLs are for security. Rate Limiting will cause unnecessary Packet Loss.
NEW QUESTION # 37
Which of the following steps are essential components of a recommended DGX cluster installation procedure?
Pick the 2 correct responses below.
Answer: C,D
Explanation:
The correct essential steps are grouping nodes by function and validating networking on every node. In DGX cluster deployments, nodes are commonly organized by role, such as head nodes, compute nodes, login nodes, storage nodes, or management components. Cluster management tools such as NVIDIA Base Command Manager use these logical groupings or categories to apply software images, configurations, monitoring, and operational actions consistently. NVIDIA DGX SuperPOD documentation describes cluster manager concepts where devices represent components such as head nodes, physical nodes, switches, and PDUs, and older DGX SuperPOD guidance references default BCM node categories for login and compute systems. Network validation is equally important before higher-level software deployment because InfiniBand, Ethernet, management, and storage interfaces must be correctly cabled, addressed, and reachable. Installing Slurm before compute node images are correctly prepared reverses the expected foundation-first workflow. Skipping node health or storage validation is unsafe because distributed workloads depend on consistent GPU health, network reachability, and storage access. A reliable DGX cluster installation starts with structured node roles, validated networks, consistent images, and then workload orchestration and application testing.
NEW QUESTION # 38
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