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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

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

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

Question 2

Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A. Heatmap
B. Box plot
C. Pie chart
D. Histogram

Question 3

You are developing a GenAI-Multimodal system that uses data from various sources. What is one potential issue you need to consider in relation to bias in data?

A. Bias in data is irrelevant as long as the AI system produces accurate predictions.
B. Bias in data is not a concern for AI systems as they are designed to be neutral and objective.
C. Bias in data can only be addressed after the AI system has been deployed.
D. The data used to train the AI system may not be representative of the population it is intended to serve.

Question 4

You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?

A. Calculating the loss function of the model on the training set.
B. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
C. Interviewing the developers of the AI model to assess its performance.
D. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.

Question 5

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 manipulate and analyze multimodal data using Generative AI.
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 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.

Solutions: