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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Configuration | 25-30% | - Software deployment - Cluster configuration - Network configuration - System installation and setup |
| Topic 2: Security and Best Practices | 10-15% | - Security fundamentals - Compliance considerations - Operational best practices |
| Topic 3: AI Infrastructure Fundamentals | 15-20% | - GPU architecture basics - NVIDIA software stack overview - AI and Deep Learning concepts - Data center infrastructure requirements |
| Topic 4: Monitoring and Management | 15-20% | - Performance monitoring - Resource utilization - Troubleshooting basics - NVIDIA management tools |
| Topic 5: NVIDIA AI Infrastructure Components | 25-30% | - Storage solutions for AI workloads - NVIDIA DGX systems - NVIDIA AI Enterprise software - NVIDIA networking solutions (Mellanox) |
In dieser dynamischen Welt lohnt sich, etwas für berufliche Weiterentwicklung zu tun. Angesichts des Fachkräftemangels in vielen Branchen haben Sie mit einer NVIDIA NCP-AII (NVIDIA AI Infrastructure) Zertifizierung mehr Kontrolle über Ihren eigenen Werdegang und damit bessere Aufstiegschancen.
153. Frage
Refer to the output:
~ $ sudo nvsm show healthinfo
-Timestamp: Sat Dec 16 16:26:32 2017 -0800
Version: 17.12-5
Checks-BIOS Revision [5.11].........................
DGX Serial Number [YSY72800016)..................
Verify installed DIMM memory sticks........................Healthy
...[output truncated)
Verify Ethernet controllers...........................Healthy
Verify installed GPU's..............................Unhealthy
Checking output of 'lspci' for expected GPU's
Missing GPU at PCI address '07:00.0'
Verify installed InfiniBand controllers....................Healthy
Verify PCIe switches..................................Healthy
...[output truncated)
What insights can a system administrator gain regarding the DGX system's health?
Antwort: D
Begründung:
The output provided is a result of theNVIDIA System Management (NVSM)tool, specifically the nvsm show healthinfo command. NVSM is an essential diagnostic framework for NVIDIA DGX systems that monitors hardware health, identifies faults, and helps ensure the system remains within its validated operational state.
In this specific diagnostic trace, the system reports that the "Verify installed GPU's" check has returned a status ofUnhealthy. To provide a root cause, NVSM cross-references the live hardware enumeration from the lspci command against the system's known "Golden Configuration" (the hardware manifest defined in the firmware). The explicit error message,"Missing GPU at PCI address '07:00.0'", indicates that the system expects a GPU module to be present at that specific PCIe bus address, but the hardware is not responding or visible to the bus.
This insight allows a system administrator to conclude that aGPU is missingfrom the logical perspective of the system. This is a critical hardware fault rather than a software or driver issue. In a DGX H100 or A100 system, this could be caused by a physical module failure, a power delivery issue to that specific segment of the GPU baseboard, or a failure in the PCIe switch fabric. Because the DGX relies on a full set of 8 GPUs for high-speed collective communications (NCCL), a single missing GPU will prevent the node from participating in large-scale training jobs, requiring physical inspection or a GPU tray replacement (RMA).
154. Frage
You are tasked with installing a DGX A100 server. After racking and connecting power and network cables, you power it on, but the BMC (Baseboard Management Controller) is not accessible via the network. You have verified the network cable is connected and the switch port is active. What are the MOST likely causes and initial troubleshooting steps you should take?
Antwort: A,D
Begründung:
The most likely causes are network configuration issues (incorrect IP, subnet, or VLAN). The BMC requires a valid IP configuration and network connectivity to be accessible. While other options are possible, they are less common as initial causes.
155. Frage
An enterprise is designing a new AI training environment expected to expand from 32 GPUs to more than 1,000 GPUs within two years. Management wants to minimize future architectural changes while maintaining high throughput for distributed training. Which infrastructure design strategy best supports these long-term objectives?
Antwort: A
Begründung:
Large AI clusters should be designed around scalable, high-bandwidth fabrics such as InfiniBand or optimized Ethernet with RoCE. Modular network architectures allow additional compute nodes to be integrated without redesigning the infrastructure. Direct server-to-server cabling does not scale, while relying solely on larger servers limits future growth and flexibility.
156. Frage
You are deploying NVIDIA DGX H100 systems in a data center. Each rack is configured to support up to 10.2 kW of power consumption per unit. What is the most critical step to validate the power requirements?
Antwort: A
Begründung:
DGX H100 power validation must confirm that the rack power distribution can support peak system loads while maintaining redundancy. N+1 capacity ensures the rack can continue operating safely and reliably even if one power path or component fails.
157. Frage
You are deploying a BlueField-2 DPU-based server in a VMware vSphere environment. Which network virtualization technology is most commonly used in conjunction with the DPU to provide accelerated networking and security features within the virtualized environment?
Antwort: E
Begründung:
VXLAN is a widely adopted network virtualization technology that is frequently used with BlueField DPUs in vSphere environments. DPUs can offload VXLAN encapsulation and decapsulation, improving performance and reducing the CPU load on the host. SR-IOV provides direct access to the NIC for VMs, but it's not a network virtualization technology in the same sense as VXLAN. GRE and IPsec are tunneling protocols but less common in vSphere for this specific use case. LACP is for link aggregation, not virtualization.
158. Frage
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