NVIDIA NCA-GENM Exam : NVIDIA Generative AI Multimodal

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

2. What does 'kernel fusion' refer to in the context of AI model optimization?

A) Applying multiple layers of kernels to improve model accuracy.
B) Using kernel functions to optimize model hyperparameters.
C) Optimizing model inference by reducing the number of computations by pruning.
D) Combining multiple kernels into a single kernel for faster computation.

3. Which of the following is a component of the Content Authenticity Initiative?

A) Content credential
B) Content validity
C) Data encryption
D) Ethical AI development

4. Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

A) Neural network integration
B) Prompt engineering
C) Transfer learning
D) State management and composition

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

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

Solutions: