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Question 66/89
You are configuring a multi-node AI training environment using NVIDIA GPUs, and your team wants to ensure that the network infrastructure can handle the data transfer between nodes efficiently, especially during distributed training tasks. What is the most critical factor to consider in the network infrastructure to minimize bottlenecks during distributed AI training?
Correct Answer: A
Implementing InfiniBand with RDMA support is the most critical factor to minimize bottlenecks in distributed AI training. It provides ultra-low latency and high bandwidth (e.g., 200 Gb/s), optimizing GPU-to- GPU data transfers via NCCL. Option B (more Ethernet ports) improves redundancy, not speed. Option C (fewer nodes) limits scalability. Option D (SDN) aids management, not raw performance. NVIDIA's DGX networking guides recommend InfiniBand.
- Question List (89q)
- Question 1: Your team is building an AI-powered application that require...
- Question 2: Your AI model training process suddenly slows down, and upon...
- Question 3: You are managing an AI data center where multiple GPUs are o...
- Question 4: Which NVIDIA hardware and software combination is best suite...
- Question 5: Your organization runs multiple AI workloads on a shared NVI...
- Question 6: Which of the following has been the most critical factor ena...
- Question 7: In an AI data center, ensuring the health and performance of...
- Question 8: You are working with a large dataset containing millions of ...
- Question 9: Which of the following is a primary challenge when integrati...
- Question 10: Which component of the AI software ecosystem is responsible ...
- Question 11: You are working with a large healthcare dataset containing m...
- Question 12: Which NVIDIA solution is specifically designed to accelerate...
- Question 13: You are tasked with deploying a machine learning model into ...
- Question 14: Your organization is setting up an AI model deployment pipel...
- Question 15: Which of the following statements correctly highlights a key...
- Question 16: Your AI cluster is managed using Kubernetes with NVIDIA GPUs...
- Question 17: A research team is deploying a deep learning model on an NVI...
- Question 18: An enterprise is deploying a large-scale AI model for real-t...
- Question 19: In an AI environment, the NVIDIA software stack plays a cruc...
- Question 20: What is the primary advantage of using virtualized environme...
- Question 21: During routine monitoring of your AI data center, you notice...
- Question 22: You are leading a project to implement a real-time fraud det...
- Question 23: Which statement correctly differentiates between AI, machine...
- Question 24: You are working on deploying a deep learning model that requ...
- Question 25: A large enterprise is deploying a high-performance AI infras...
- Question 26: Which of the following statements best differentiates AI, ma...
- Question 27: In a data center designed for AI workloads, what is a key di...
- Question 28: An AI research team is working on a large-scale natural lang...
- Question 29: You are tasked with transforming a traditional data center i...
- Question 30: Your organization has deployed a large-scale AI data center ...
- Question 31: Your organization operates an AI cluster where various deep ...
- Question 32: Your AI infrastructure team is deploying a large NLP model o...
- Question 33: As a junior team member, you are tasked with running data an...
- Question 34: In your AI infrastructure, several GPUs have recently failed...
- Question 35: Which NVIDIA software component is primarily used to manage ...
- Question 36: You are working on an autonomous vehicle project that requir...
- Question 37: Your AI development team is working on a project that involv...
- Question 38: You are managing the deployment of an AI-driven security sys...
- Question 39: When virtualizing a GPU-accelerated infrastructure to suppor...
- Question 40: In a virtualized AI environment, you are responsible for man...
- Question 41: An autonomous vehicle company is developing a self-driving c...
- Question 42: You are part of a team analyzing the results of a machine le...
- Question 43: In an AI data center, you are working with a professional ad...
- Question 44: In your AI data center, you are responsible for deploying an...
- Question 45: You are tasked with virtualizing the GPU resources in a mult...
- Question 46: A transportation company wants to implement AI to improve th...
- Question 47: You are managing a data center running numerous AI workloads...
- Question 48: In an MLOps pipeline, you are responsible for managing the t...
- Question 49: In your AI data center, you've observed that some GPUs are u...
- Question 50: Your AI team is running a distributed deep learning training...
- Question 51: You manage a large-scale AI infrastructure where several AI ...
- Question 52: Your organization is running a mixed workload environment th...
- Question 53: You are managing an AI infrastructure that supports a health...
- Question 54: Your company is building an AI-powered recommendation engine...
- Question 55: You are part of a team that is setting up an AI infrastructu...
- Question 56: You have completed an analysis of resource utilization durin...
- Question 57: You are assisting a senior data scientist in a project aimed...
- Question 58: You are responsible for managing an AI infrastructure where ...
- Question 59: Your AI data center is experiencing increased operational co...
- Question 60: An organization is deploying a large-scale AI model across m...
- Question 61: Which industry has seen the most significant transformation ...
- Question 62: Your AI training jobs are consistently taking longer than ex...
- Question 63: In a distributed AI training environment, you notice that th...
- Question 64: Which NVIDIA compute platform is most suitable for large-sca...
- Question 65: When deploying AI workloads on a cloud platform using NVIDIA...
- Question 66: You are configuring a multi-node AI training environment usi...
- Question 67: Which networking feature is most important for supporting di...
- Question 68: Your organization is planning to deploy an AI solution that ...
- Question 69: You are working on a project that involves monitoring the pe...
- Question 70: You are working under the supervision of a senior AI enginee...
- Question 71: You are assisting in a project where the senior engineer req...
- Question 72: A large healthcare provider wants to implement an AI-driven ...
- Question 73: You are managing a high-performance AI cluster where multipl...
- Question 74: Your organization is building a hybrid cloud system that nee...
- Question 75: You are working on a project that involves both real-time AI...
- Question 76: You are responsible for managing an AI infrastructure that r...
- Question 77: You are deploying an AI model on a cloud-based infrastructur...
- Question 78: A retail company wants to implement an AI-based system to pr...
- Question 79: You are managing an AI project for a healthcare application ...
- Question 80: In an AI infrastructure setup, you need to optimize the netw...
- Question 81: You are managing an AI data center where energy consumption ...
- Question 82: You are designing a data center platform for a large-scale A...
- Question 83: You are responsible for managing an AI infrastructure that i...
- Question 84: A tech startup is building a high-performance AI application...
- Question 85: When implementing an MLOps pipeline, which component is cruc...
- Question 86: You are tasked with managing an AI training environment wher...
- Question 87: Your AI data center is experiencing fluctuating workloads wh...
- Question 88: Your AI team is deploying a large-scale inference service th...
- Question 89: You are tasked with optimizing the performance of a deep lea...
