NCA-GENM by NVIDIA Actual Free Exam Questions And Answers

Question 1

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. Linear Regression

B. Logistic Regression

C. K-Means Clustering

D. Convolutional Neural Network (CNN)

Discussion 0

Correct Answer: D Vote an answer

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Question 2

You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

A. Scatter plot

B. Pie chart

C. Bar chart

D. Line chart

Discussion 0

Correct Answer: B Vote an answer

Question 3

You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?

A. Linear Regression

B. K-Means Clustering

C. Convolutional Neural Networks (CNN)

D. Decision Trees

Discussion 0

Correct Answer: C Vote an answer

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Question 4

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 mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.

C. It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.

D. It ensures that AI systems are transparent in their decision-making processes.

Discussion 0

Correct Answer: C Vote an answer

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Question 5

How is the optimization of a multimodal model different from a unimodal model in terms of gradient vanishing?

A. Both multimodal and unimodal models have an equal risk of gradient vanishing, as the optimization process is independent of the number of modalities.

B. Gradient vanishing is not a concern in either multimodal or unimodal models, as modern optimization techniques have overcome this issue.

C. Multimodal models have a higher risk of gradient vanishing compared to unimodal models, as the combination of multiple modalities increases the complexity of the model architecture.

D. Unimodal models have a higher risk of gradient vanishing compared to multimodal models, as the focus on a single modality allows for better gradient flow and stability.

Discussion 0

Correct Answer: C Vote an answer

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Question 6

You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A. To study the impact of AI models on human behavior.

B. To determine the best AI model architecture.

C. To determine the ethical implications of AI model usage.

D. To analyze the cost-effectiveness of AI model development.

Discussion 0

Correct Answer: B Vote an answer

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NVIDIA Generative AI Multimodal - NCA-GENM Exam Practice Test

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