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

2. Which metric is commonly used to evaluate machine-translation models?

A) F1 score
B) BLEU score
C) Accuracy
D) Mean Absolute Error (MAE)

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

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

4. In multimodal machine learning, what does 'early fusion' refer to?

A) Implementing the model in the early stages of development of the ML solution.
B) Integrating different modalities at the beginning of the model pipeline.
C) Training separate models for each modality and then combining their predictions.
D) Ignoring certain modalities and only using one modality for analysis and prediction.

5. What is a common method to reduce the computational cost of deep learning models during inference?

A) Increasing the batch size.
B) Pruning weights or neurons.
C) Adding more convolutional filters.
D) By replacing activation functions in some neurons with simpler ones.

Solutions: