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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

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

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

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

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) Bar chart
B) Scatter plot
C) Line chart
D) Pie chart

4. Which of the following is a disadvantage of the ReLU activation function?

A) It is not suitable for deep neural networks.
B) It is prone to vanishing gradient problem.
C) It can cause dead neurons.
D) It is computationally expensive.

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

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

Solutions: