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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

You have been given a dataset with missing values. What is the first step you should take with the data?

A. Remove the columns with missing values.
B. Analyze the patterns and distribution of missing values.
C. Remove the rows with missing values.
D. Fill in the missing values with a default value.

Question 2

What is the purpose of a kernel in a Convolutional Neural Network (CNN)?

A. To calculate the loss function.
B. To classify the data into different categories.
C. To normalize the input data.
D. To perform convolution operations on input data.

Question 3

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

Question 4

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. Bar chart
B. Line chart
C. Scatter plot
D. Pie chart

Question 5

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

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

Solutions: