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NCP-AII New Practice Questions - New Exam NCP-AII Braindumps
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NVIDIA AI Infrastructure Sample Questions (Q288-Q293):
NEW QUESTION # 288
You're setting up a cluster with 8 NVIDIA A100 GPUs. Each GPU needs to read 4GB/s from storage to keep it fully utilized. The network connecting the storage and compute nodes has a bandwidth of 25GB/s. What is the maximum number of GPUs that can be simultaneously saturated with data without exceeding the network bandwidth?
Answer: E
Explanation:
Each GPU requires 4GB/s of bandwidth. The network has a bandwidth of 25GB/s. Therefore, the maximum number of GPUs that can be saturated is 25GB/s / 4GB/s per GPU = 6.25 GPUs. Since you can't have a fraction of a GPU, the answer is 6 GPUs.
NEW QUESTION # 289
You are deploying a multi-tenant A1 infrastructure with strict isolation requirements. Which network technology would be most suitable for creating isolated virtual networks for each tenant?
- A. QinQ (802. lad)
- B. IPsec
- C. VLANs (Virtual LANs)
- D. VXLAN (Virtual Extensible LAN)
- E. GRE (Generic Routing Encapsulation)
Answer: D
Explanation:
VXLAN is most suitable for multi-tenant environments because it provides a larger address space (24-bit VNI) compared to VLANs (12-bit VLAN ID), allowing for a greater number of isolated networks. VXLAN also supports Layer 2 connectivity across Layer 3 networks, facilitating VM mobility across different subnets. While QinQ can extend the VLAN ID space, it's not as scalable as VXLAN. GRE provides tunneling but doesn't inherently provide isolation. IPsec is primarily for secure communication.
NEW QUESTION # 290
Which protocol is commonly used in Spine-Leaf architectures for dynamic routing and load balancing across multiple paths?
- A. BGP (Border Gateway Protocol)
- B. VRRP (Virtual Router Redundancy Protocol)
- C. ECMP (Equal-Cost Multi-Path)
- D. STP (Spanning Tree Protocol)
- E. OSPF (Open Shortest Path First)
Answer: C
Explanation:
ECMP (Equal-Cost Multi-Path) is crucial for efficiently utilizing the multiple paths available in a Spine-Leaf architecture. It allows traffic to be distributed across these paths, improving throughput and reducing congestion. OSPF and BGP can be used for routing but do not inherently provide per-packet load balancing. STP is used to prevent loops, and VRRP provides router redundancy, neither of which directly address load balancing across multiple equal-cost paths.
NEW QUESTION # 291
You are tasked with optimizing an Intel Xeon scalable processor-based server running a TensorFlow model with multiple NVIDIA GPUs.
You observe that the CPU utilization is low, but the GPU utilization is also not optimal. The profiler shows significant time spent in 'tf.data' operations. Which of the following actions would MOST likely improve performance?
- A. Reduce the global batch size to improve memory utilization.
- B. Enable XLA (Accelerated Linear Algebra) compilation in TensorFlow.
- C. Use 'tf.data.AUTOTIJNE to allow TensorFlow to dynamically optimize the data pipeline.
- D. Increase the number of threads used for CPU-bound operations in TensorFlow using 'tf.config.threading.set_intra_op_parallelism_threads()'.
- E. Upgrade the server's network adapter to a faster interface, such as 100Gb
Answer: C
Explanation:
'tf.data' performance issues often stem from inefficient data pipelines. 'tf.data.AIJTOTUNE allows TensorFlow to dynamically optimize the pipeline by adjusting parameters such as prefetch buffer size and the number of parallel calls to transformation functions. XLA compilation optimizes graph execution, but 'tf.data' issues need to be addressed first. Increasing CPU threads might help but 'AUTOTUNE is more specific to the problem. A smaller batch size could negatively impact GPU utilization. Network upgrades are irrelevant as the problem lies within the server.
NEW QUESTION # 292
A server with four installed NVIDIA GPUs is experiencing intermittent crashes during heavy AI training workloads. You suspect a power issue. You have monitored the power consumption and found that the GPUs are briefly exceeding the rated power capacity of the PSU during peak loads. What are TWO effective mitigation strategies you can implement? (Select TWO)
- A. Disable one of the GPUs to reduce the total power draw.
- B. Replace the PSU with a higher wattage PSU.
- C. Underclock the GPIJs to reduce their power consumption.
- D. Re-seat the GPUs in their respective slots.
- E. Increase the server room temperature.
Answer: B,C
Explanation:
Underclocking the GPUs reduces their power consumption directly. Replacing the PSU provides more headroom to handle the peak loads. Disabling a GPU reduces performance. Increasing server room temperature exacerbates the problem. Reseating GPUs addresses connection issues, not power limitations.
NEW QUESTION # 293
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