NVIDIA Generative AI LLMs - NCA-GENL Exam Questions
QUESTION NO: 1
In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?
In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?
Correct Answer: A
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QUESTION NO: 2
What do we usually refer to as generative AI?
What do we usually refer to as generative AI?
Correct Answer: A
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QUESTION NO: 3
In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?
In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?
Correct Answer: C
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QUESTION NO: 4
You are working on developing an application to classify images of animals and need to train a neural model.
However, you have a limited amount of labeled data. Which technique can you use to leverage the knowledge from a model pre-trained on a different task to improve the performance of your new model?
You are working on developing an application to classify images of animals and need to train a neural model.
However, you have a limited amount of labeled data. Which technique can you use to leverage the knowledge from a model pre-trained on a different task to improve the performance of your new model?
Correct Answer: B
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QUESTION NO: 5
Which of the following is a key characteristic of Rapid Application Development (RAD)?
Which of the following is a key characteristic of Rapid Application Development (RAD)?
Correct Answer: D
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QUESTION NO: 6
In Exploratory Data Analysis (EDA) for Natural Language Understanding (NLU), which method is essential for understanding the contextual relationship between words in textual data?
In Exploratory Data Analysis (EDA) for Natural Language Understanding (NLU), which method is essential for understanding the contextual relationship between words in textual data?
Correct Answer: D
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QUESTION NO: 7
When should one use data clustering and visualization techniques such as tSNE or UMAP?
When should one use data clustering and visualization techniques such as tSNE or UMAP?
Correct Answer: A
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QUESTION NO: 8
In the context of language models, what does an autoregressive model predict?
In the context of language models, what does an autoregressive model predict?
Correct Answer: A
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QUESTION NO: 9
What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)
What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)
Correct Answer: B,D
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QUESTION NO: 10
You are in need of customizing your LLM via prompt engineering, prompt learning, or parameter-efficient fine-tuning. Which framework helps you with all of these?
You are in need of customizing your LLM via prompt engineering, prompt learning, or parameter-efficient fine-tuning. Which framework helps you with all of these?
Correct Answer: B
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