Free Dell EMC NCA-GENL Exam Questions
Absolute Free NCA-GENL Exam Practice for Comprehensive Preparation
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Dell EMC NCA-GENL Exam Questions
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Provided By: Dell EMC
- Exam: NCA - Generative AI LLMs
- Certification: NVIDIA Certified Associate
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Total Questions: 395
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Updated On: Jan 15, 2026
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Rated: 4.9 |
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Online Users: 790
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Question 1
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You are analyzing the performance metrics of a newly trained LLM model that has been optimized for sentiment analysis. The metrics include accuracy, precision, recall, and F1-score across different sentiment categories (positive, negative, neutral). You observe that the model performs well on the positive and negative categories but struggles with neutral sentiment, which is causing an imbalance in the overall performance metrics. The senior team member asks you to identify the root cause and suggest a solution. What is the most appropriate next step to address the performance imbalance?
Answer: C
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You are analyzing the performance metrics of a newly trained LLM model that has been optimized for sentiment analysis. The metrics include accuracy, precision, recall, and F1-score across different sentiment categories (positive, negative, neutral). You observe that the model performs well on the positive and negative categories but struggles with neutral sentiment, which is causing an imbalance in the overall performance metrics. The senior team member asks you to identify the root cause and suggest a solution. What is the most appropriate next step to address the performance imbalance?
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Question 2
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Which approach is most effective for minimizing bias in AI systems during the data preprocessing and model training phases?
Answer: A
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Which approach is most effective for minimizing bias in AI systems during the data preprocessing and model training phases?
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Question 3
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You need to train an XGBoost model on a large image dataset to predict certain outcomes. The dataset is too large to fit in memory on a single machine, and you plan to use Dask with multiple GPUs to handle the training. However, during the process, you notice that the training is much slower than expected. What could be the most likely cause of the slow training, despite using Dask with multiple GPUs?
Answer: D
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You need to train an XGBoost model on a large image dataset to predict certain outcomes. The dataset is too large to fit in memory on a single machine, and you plan to use Dask with multiple GPUs to handle the training. However, during the process, you notice that the training is much slower than expected. What could be the most likely cause of the slow training, despite using Dask with multiple GPUs?
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Question 4
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Which calculation is most commonly used to measure the semantic closeness of two text passages?
Answer: C
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Which calculation is most commonly used to measure the semantic closeness of two text passages?
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Question 5
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You are tasked with fine-tuning a pre-trained Large Language Model (LLM) for a customer service chatbot. The chatbot must handle a wide variety of customer inquiries with high accuracy while being sensitive to variations in language use across different regions. Which approach would best meet these requirements?
Answer: A
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You are tasked with fine-tuning a pre-trained Large Language Model (LLM) for a customer service chatbot. The chatbot must handle a wide variety of customer inquiries with high accuracy while being sensitive to variations in language use across different regions. Which approach would best meet these requirements?