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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is contrastive learning in the context of multimodal deep learning? Pick the 2 correct responses below.

A) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the same objects and decreases the similarity of representations across modalities for different objects.
B) Contrastive learning is a technique used to train deep learning models by comparing similar and dissimilar inputs and optimizing the model to maximize the similarity between representations of similar inputs and minimize the similarity between representations of dissimilar inputs.
C) In a multimodal context, usually, contrastive learning decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.
D) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the different objects and decreases the similarity of representations across modalities for same objects.
E) Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.

2. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To classify and categorize data based on patterns and features.
B) To optimize decision-making processes based on historical data.
C) To optimize search algorithms for faster data retrieval.
D) To produce new data that is similar to the training data.

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

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

4. In LLM evaluation, what does "zero-shot learning" refer to?

A) A technique to reduce training time to zero
B) The model's ability to learn from zero examples
C) The model's ability to perform tasks it has not been explicitly trained on
D) The model's performance after extensive training

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

Solutions: