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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is a common method to reduce the computational cost of deep learning models during inference?

A) Increasing the batch size.
B) Pruning weights or neurons.
C) By replacing activation functions in some neurons with simpler ones.
D) Adding more convolutional filters.

2. Hyperparameter tuning is used for what purpose in machine learning experimentation?

A) Selecting the best ML algorithm for a given task.
B) Collecting and preprocessing data to improve the accuracy of the model.
C) Adjusting the weights and biases of a neural network to optimize its performance.
D) Selecting the optimal values for non-trainable parameters, such as learning rate or batch size.

3. You are developing a GenAI-Multimodal system that uses data from various sources. What is one potential issue you need to consider in relation to bias in data?

A) Bias in data can only be addressed after the AI system has been deployed.
B) The data used to train the AI system may not be representative of the population it is intended to serve.
C) Bias in data is not a concern for AI systems as they are designed to be neutral and objective.
D) Bias in data is irrelevant as long as the AI system produces accurate predictions.

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

5. You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

A) Scatter plot
B) Line chart
C) Pie chart
D) Bar chart

Solutions: