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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. 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 perform convolution operations on input data.
D) To normalize the input data.

2. What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?

A) To generate new images from pure noise.
B) To detect noisy objects in input images.
C) To segment noisy patches in input images.
D) To classify input images as noisy or clean.

3. 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) Bar chart
D) Pie chart

4. Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A) Histogram
B) Heatmap
C) Pie chart
D) Box plot

5. You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds. Which of the following ML models would be the most appropriate choice for this task?

A) Convolutional Neural Network (CNN)
B) Logistic Regression
C) K-Means Clustering
D) Linear Regression

Solutions: