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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

What is the correct order of steps in an ML project?

A. Data collection, Data preprocessing, Model training, Model evaluation
B. Model evaluation, Data collection, Data preprocessing, Model training
C. Data preprocessing, Data collection, Model training, Model evaluation
D. Model evaluation, Data preprocessing, Model training, Data collection

Question 2

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.

Question 3

You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds. Which of the following ML models would be the most appropriate choice for this task?

A. Convolutional Neural Network (CNN)
B. K-Means Clustering
C. Logistic Regression
D. Linear Regression

Question 4

Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

A. CTC Loss
B. F1 Score
C. Mean Opinion Score (MOS)
D. Word Error Rate (WER)

Question 5

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

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

Solutions: