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Question 55/89
You are part of a team that is setting up an AI infrastructure using NVIDIA's DGX systems. The infrastructure is intended to support multiple AI workloads, including training, inference, and dataanalysis.
You have been tasked with analyzing system logs to identify performance bottlenecks under the supervision of a senior engineer. Which log file would be most useful to analyze when diagnosing GPU performance issues in this scenario?
You have been tasked with analyzing system logs to identify performance bottlenecks under the supervision of a senior engineer. Which log file would be most useful to analyze when diagnosing GPU performance issues in this scenario?
Correct Answer: B
NVIDIA GPU utilization logs from nvidia-smi are most useful for diagnosing GPU performance issues on DGX systems. These logs provide real-time metrics (e.g., utilization, memory usage, processes), pinpointing bottlenecks like underutilization or contention. Option A (network logs) aids distributed issues, not GPU- specific ones. Option C (kernel logs) tracks system events, not GPU performance. Option D (application logs) focuses on software, not hardware. NVIDIA's DGX troubleshooting guides prioritize nvidia-smi for GPU diagnostics.
- 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...
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- 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 ...
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- Question 11: You are working with a large healthcare dataset containing m...
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- 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...
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- 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 ...
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- 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...
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- 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...
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- 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...
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- Question 59: Your AI data center is experiencing increased operational co...
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- 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...
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- Question 77: You are deploying an AI model on a cloud-based infrastructur...
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