NVIDIA NCA-GENM Exam : NVIDIA Generative AI Multimodal

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. You are evaluating the performance of an AI model for facial recognition. What is an important consideration when evaluating the model for bias?

A) The model's accuracy in recognizing individuals of different races.
B) The model's compatibility with different operating systems.
C) The model's processing speed in recognizing faces of different races.
D) The model's ability to recognize various facial expressions.

2. Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

A) Neural network integration
B) Prompt engineering
C) Transfer learning
D) State management and composition

3. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Quantization
B) Data augmentation
C) Model enlargement
D) Dropout

4. Which of the following tasks can be performed using the transformer LLM encoder model?

A) Semantic analysis
B) Image generation
C) Speech recognition
D) Generating code

5. In machine learning, what is the purpose of data normalization?

A) To remove irrelevant data from the dataset.
B) To reduce the dimensionality of the dataset.
C) To increase the complexity of the dataset.
D) To convert data into a specific format for easier analysis.

Solutions: