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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

A) It requires AI systems to be developed with an ethical consideration for societal impacts.
B) It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
C) It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.
D) It ensures that AI systems are transparent in their decision-making processes.

2. In machine learning, what is the purpose of data normalization?

A) To remove irrelevant data from the dataset.
B) To increase the complexity of the dataset.
C) To convert data into a specific format for easier analysis.
D) To reduce the dimensionality of the dataset.

3. What is the purpose of a kernel in a Convolutional Neural Network (CNN)?

A) To perform convolution operations on input data.
B) To normalize the input data.
C) To classify the data into different categories.
D) To calculate the loss function.

4. What characteristic of autoencoders makes them suitable for anomaly detection?

A) Their capacity to learn a compressed representation of the data.
B) Their function in enhancing the quality of images.
C) Their capability to predict future outcomes based on past data.
D) Their ability to classify images with high accuracy.

5. What is the purpose of the cuDNN library?

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

Solutions: