Free Dell EMC NCA-AIIO Exam Questions
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Dell EMC NCA-AIIO Exam Questions
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Provided By: Dell EMC
- Exam: AI Infrastructure and Operations
- Certification: NVIDIA Certified Associate
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Total Questions: 300
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Updated On: Feb 20, 2025
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Rated: 4.9 |
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Online Users: 600
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Question 1
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In collaboration with a professional administrator, you are tasked with optimizing power efficiency in an AI data center that runs multiple deep learning workloads. Which of the following actions would most effectively contribute to reducing power consumption without sacrificing performance?
Answer: B
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In collaboration with a professional administrator, you are tasked with optimizing power efficiency in an AI data center that runs multiple deep learning workloads. Which of the following actions would most effectively contribute to reducing power consumption without sacrificing performance?
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Question 2
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You are part of a team investigating the performance variability of an AI model across different hardware configurations. The model is deployed on various servers with differing GPU types, memory sizes, and CPU clock speeds. Your task is to identify which hardware factors most significantly impact the model's inference time. Which analysis approach would be most effective in identifying the hardware factors that significantly impact the model’s inference time?
Answer: B
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You are part of a team investigating the performance variability of an AI model across different hardware configurations. The model is deployed on various servers with differing GPU types, memory sizes, and CPU clock speeds. Your task is to identify which hardware factors most significantly impact the model's inference time. Which analysis approach would be most effective in identifying the hardware factors that significantly impact the model’s inference time?
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Question 3
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Your team is deploying an AI model that involves a real-time recommendation system for a high-traffic e-commerce platform. The model must analyze user behavior and suggest products instantly as the user interacts with the platform. Which type of AI workload best describes this use case?
Answer: B
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Your team is deploying an AI model that involves a real-time recommendation system for a high-traffic e-commerce platform. The model must analyze user behavior and suggest products instantly as the user interacts with the platform. Which type of AI workload best describes this use case?
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Question 4
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A company is deploying a large-scale AI training workload that requires distributed computing across multiple GPUs. They need to ensure efficient communication between GPUs on different nodes and optimize the training time. Which of the following NVIDIA technologies should they use to achieve this?
Answer: A
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A company is deploying a large-scale AI training workload that requires distributed computing across multiple GPUs. They need to ensure efficient communication between GPUs on different nodes and optimize the training time. Which of the following NVIDIA technologies should they use to achieve this?
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Question 5
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While monitoring your AI data center, you observe that one of your GPU clusters is experiencing frequent GPU memory errors. These errors are causing job failures and system instability. What is the most likely cause of these memory errors?
Answer: C
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While monitoring your AI data center, you observe that one of your GPU clusters is experiencing frequent GPU memory errors. These errors are causing job failures and system instability. What is the most likely cause of these memory errors?