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NVIDIA Generative AI Multimodal - NCA-GENM Exam Practice Test

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Total 58 questions

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Question 1

What is the role of CLIP (Contrastive Language-Image Pretraining) in text-to-image generation?

A. CLIP is used to generate image captions from textual input. B. CLIP is used to enhance datasets through data augmentation for text-to-image generation. C. CLIP is used to convert textual input into image embeddings. D. CLIP provides a common embedding space for both the textual and image modalities.

Discussion 0

Correct Answer: D Vote an answer

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Question 2

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

A. 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. B. Both multimodal and unimodal models have an equal risk of gradient vanishing, as the optimization process is independent of the number of modalities. C. Gradient vanishing is not a concern in either multimodal or unimodal models, as modern optimization techniques have overcome this issue. D. 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.

Discussion 0

Correct Answer: D Vote an answer

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Question 3

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

A. To analyze the cost-effectiveness of AI model development. B. To study the impact of AI models on human behavior. C. To determine the ethical implications of AI model usage. D. To determine the best AI model architecture.

Discussion 0

Correct Answer: D Vote an answer

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Question 4

How does the batch size influence VRAM consumption during inference with ML models on GPUs?

A. Increasing or decreasing the batch size has the same impact on VRAM consumption. B. Decreasing the batch size reduces VRAM consumption. C. Increasing the batch size reduces VRAM consumption because more data can be processed in parallel. D. The batch size has no impact on VRAM consumption during inference.

Discussion 0

Correct Answer: B Vote an answer

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Question 5

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

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

Discussion 0

Correct Answer: B Vote an answer

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Question 6

Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A. Heatmap B. Box plot C. Histogram D. Pie chart

Discussion 0

Correct Answer: B Vote an answer

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Total 58 questions

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