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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is the correct order of steps in an ML project?

A) Data collection, Data preprocessing, Model training, Model evaluation
B) Data preprocessing, Data collection, Model training, Model evaluation
C) Model evaluation, Data preprocessing, Model training, Data collection
D) Model evaluation, Data collection, Data preprocessing, Model training

2. What role does 'late fusion' play in multimodal machine learning?

A) It refers to the process of combining multiple modalities at the training stage.
B) It refers to the process of combining multiple modalities at the preprocessing stage.
C) It refers to the process of combining multiple modalities at the decision level.
D) It refers to the process of combining multiple modalities at the feature level.

3. 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.

4. What characteristic of autoencoders makes them suitable for anomaly detection?

A) Their capacity to learn a compressed representation of the data.
B) Their ability to classify images with high accuracy.
C) Their function in enhancing the quality of images.
D) Their capability to predict future outcomes based on past data.

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

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

Solutions: