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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?

A. Interviewing the developers of the AI model to assess its performance.
B. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
C. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
D. Calculating the loss function of the model on the training set.

Question 2

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. Scatter plot
C. Pie chart
D. Line chart

Question 3

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

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

Question 4

You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A. To analyze the cost-effectiveness of AI model development.
B. To determine the best AI model architecture.
C. To determine the ethical implications of AI model usage.
D. To study the impact of AI models on human behavior.

Question 5

What is the purpose of the cuDNN library?

A. To optimize deep neural network computations on NVIDIA GPUs.
B. To generate images from English text-prompts using CLIP.
C. To implement GPU-accelerated data preparation and feature extraction.
D. To measure GPU usage and other metrics with Prometheus.

Solutions: