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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

What is the purpose of the cuDNN library?

A. To implement GPU-accelerated data preparation and feature extraction.
B. To optimize deep neural network computations on NVIDIA GPUs.
C. To measure GPU usage and other metrics with Prometheus.
D. To generate images from English text-prompts using CLIP.

Question 2

Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A. Data augmentation
B. Quantization
C. Model enlargement
D. Dropout

Question 3

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

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

Question 4

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

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

Question 5

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

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

Solutions: