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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What advantage does multimodal learning have over unimodal learning?

A) It requires fewer data samples for learning.
B) It is more reliable than unimodal learning.
C) It is easier to collect multimodal data than unimodal data.
D) It can capture more complex patterns and relationships in data.

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

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

3. In a Generative Adversarial Network (GAN), what is the role of the discriminator?

A) To generate new data based on the training set.
B) To calculate the loss function and update the generator.
C) To optimize the training process.
D) To distinguish between real and generated data.

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

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

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

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

Solutions: