Free Dell EMC NCA-AIIO Exam Questions
Absolute Free NCA-AIIO Exam Practice for Comprehensive Preparation
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Dell EMC NCA-AIIO Exam Questions
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Provided By: Dell EMC
- Exam: NVIDIA AI Infrastructure and Operations Associate
- Certification: NVIDIA Certified Associate
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Total Questions: 350
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Updated On: Nov 25, 2025
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Rated: 4.9 |
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Online Users: 700
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Question 1
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You have deployed an AI training job on a GPU cluster, but the training time has not decreased as expected after adding more GPUs. Upon further investigation, you observe that the GPU utilization is low, and the CPU utilization is very high. What is the most likely cause of this issue?
Answer: D
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You have deployed an AI training job on a GPU cluster, but the training time has not decreased as expected after adding more GPUs. Upon further investigation, you observe that the GPU utilization is low, and the CPU utilization is very high. What is the most likely cause of this issue?
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Question 2
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You are part of a team analyzing the results of a machine learning experiment that involved training models with different hyperparameter settings across various datasets. The goal is to identify trends in how hyperparameters and dataset characteristics influence model performance, particularly accuracy and overfitting. Which analysis method would best help in identifying the relationships between hyperparameters, dataset characteristics, and model performance?
Answer: A
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You are part of a team analyzing the results of a machine learning experiment that involved training models with different hyperparameter settings across various datasets. The goal is to identify trends in how hyperparameters and dataset characteristics influence model performance, particularly accuracy and overfitting. Which analysis method would best help in identifying the relationships between hyperparameters, dataset characteristics, and model performance?
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Question 3
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You have completed an analysis of resource utilization during the training of a deep learning model on an NVIDIA GPU cluster. The senior engineer requests that you create a visualization that clearly conveys the relationship between GPU memory usage and model training time across different training sessions. Which visualization would be most effective in conveying the relationship between GPU memory usage and model training time?
Answer: D
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You have completed an analysis of resource utilization during the training of a deep learning model on an NVIDIA GPU cluster. The senior engineer requests that you create a visualization that clearly conveys the relationship between GPU memory usage and model training time across different training sessions. Which visualization would be most effective in conveying the relationship between GPU memory usage and model training time?
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Question 4
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You are tasked with deploying a machine learning model into a production environment for real-time fraud detection in financial transactions. The model needs to continuously learn from new data and adapt to emerging patterns of fraudulent behavior. Which of the following approaches should you implement to ensure the model's accuracy and relevance over time?
Answer: C
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You are tasked with deploying a machine learning model into a production environment for real-time fraud detection in financial transactions. The model needs to continuously learn from new data and adapt to emerging patterns of fraudulent behavior. Which of the following approaches should you implement to ensure the model's accuracy and relevance over time?
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Question 5
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You are working on a regression task to predict car prices. Model Gamma has a Mean Absolute Error (MAE) of $1,200, while Model Delta has a Mean Absolute Error (MAE) of $1,500. Which model should be preferred based on the Mean Absolute Error (MAE), and what does this metric indicate?
Answer: B
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You are working on a regression task to predict car prices. Model Gamma has a Mean Absolute Error (MAE) of $1,200, while Model Delta has a Mean Absolute Error (MAE) of $1,500. Which model should be preferred based on the Mean Absolute Error (MAE), and what does this metric indicate?