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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?

A) To classify input images as noisy or clean.
B) To segment noisy patches in input images.
C) To detect noisy objects in input images.
D) To generate new images from pure noise.

2. Hyperparameter tuning is used for what purpose in machine learning experimentation?

A) Selecting the best ML algorithm for a given task.
B) Selecting the optimal values for non-trainable parameters, such as learning rate or batch size.
C) Collecting and preprocessing data to improve the accuracy of the model.
D) Adjusting the weights and biases of a neural network to optimize its performance.

3. 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.

4. What is the significance of A/B testing in ML software engineering?

A) A/B testing is irrelevant in ML software engineering.
B) A/B testing is used to measure the impact of changes in the user interface of a ML application.
C) A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
D) A/B testing helps in optimizing the hyperparameters of a machine learning model.

5. In large-language models, what is the purpose of the attention mechanism?

A) To assign weights to each word in the input sequence.
B) To measure the importance of the words in the output sequence.
C) To capture the order of the words in the input sequence.
D) To determine the order in which words are generated.

Solutions: