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NVIDIA-Certified Professional AI Networking Sample Questions (Q44-Q49):
NEW QUESTION # 44
A financial services company is planning to implement an AI infrastructure to support real-time fraud detection and risk assessment. They need a solution that can handle both training and inference workloads while maintaining data privacy and security. Which NVIDIA reference architecture component would be most appropriate to address the data privacy and security concerns in this AI networking setup?
Answer: D
Explanation:
NVIDIA BlueField Data Processing Units (DPUs)are integral to securing AI infrastructures, especially in environments requiring stringent data privacy and security measures. BlueField DPUs offload and accelerate critical infrastructure tasks such as encryption, firewall enforcement, and intrusion detection, thereby isolating sensitive data paths from potential threats. In the context of AI workloads, BlueField DPUs enable secure and efficient data movement between GPUs and storage systems, ensuring that sensitive information, like financial data, is protected during both training and inference processes. Their integration into NVIDIA's reference architectures provides a hardware root of trust, essential for maintaining data integrity and compliance with security standards.
NEW QUESTION # 45
You suspect there might be connectivity issues in your InfiniBand fabric and need to perform a comprehensive check. Which tool should you use to run a full fabric diagnostic and generate a report?
Answer: A
Explanation:
The ibdiagnet utility is a fundamental tool for InfiniBand fabric discovery, error detection, and diagnostics. It provides comprehensive reports on the fabric's health, including error reporting, switch and Host Channel Adapter (HCA) configuration dumps, various counters reported by the switches and HCAs, and parameters of devices such as switch fans, power supply units, cables, and PCI lanes. Additionally, ibdiagnet performs validation for Unicast Routing, Adaptive Routing, and Multicast Routing to ensure correctness and a credit- loop-free routing environment.
Reference Extracts from NVIDIA Documentation:
* "The ibdiagnet utility is one of the basic tools for InfiniBand fabric discovery, error detection and diagnostic. The output files of the ibdiagnet include error reporting, switch and HCA configuration dumps, various counters reported by the switches and the HCAs."
* "ibdiagnet also performs Unicast Routing, Adaptive Routing and Multicast Routing validation for correctness and credit-loop free routing."
NEW QUESTION # 46
A high-performance InfiniBand fabric requires a routing engine that maximizes throughput and network utilization while reducing congestion. Which option below is the best routing engine for InfiniBand?
Answer: D
Explanation:
Adaptive Routingin InfiniBand networks dynamically selects the optimal path for data packets based on current network conditions, such as congestion levels and link utilization. This approach ensures that traffic is evenly distributed across the network, preventing bottlenecks and maximizing overall throughput.
By continuously monitoring the network and adjusting routes in real-time, Adaptive Routing enhances performance and reliability, making it the preferred choice for high-performance computing environments where consistent low latency and high bandwidth are critical.
Reference:NVIDIA InfiniBand Adaptive Routing Technology Whitepaper
NEW QUESTION # 47
Which of the following is the main benefit of GPU-accelerated networking in AI workloads?
Answer: C
Explanation:
GPU-accelerated networking enhances the speed at which data is transmitted, ensuring lower latency and faster throughput, which is crucial for real-time AI applications and deep learning.
NEW QUESTION # 48
What is the benefit of using NVIDIA's GPU-accelerated networking in AI inference?
Answer: A
Explanation:
GPU-accelerated networking reduces latency and increases throughput, making it ideal for AI inference tasks that require real-time, low-latency data processing.
NEW QUESTION # 49
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