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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. For building a zero-shot image classification pipeline, what could be a crucial step in the process?

A) Manually labeling each image in the dataset for precise classification.
B) Focusing on enhancing the resolution and quality of images before classification.
C) Using a model like CLIP for encoding both images and their textual descriptions into a shared representation space for comparison.
D) Designing an algorithm to replace the need for textual descriptions in the classification process.

2. In a multimodal machine learning context, how are different modalities usually linked to each other?

A) Different modalities are linked through a shared representation that captures the relationships between the modalities.
B) Different modalities are linked through separate models that are ensembled by tree-based models.
C) Different modalities are linked through random connections.
D) Different modalities are not linked to each other in a multimodal machine learning context.

3. 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) 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.
C) 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.
D) Gradient vanishing is not a concern in either multimodal or unimodal models, as modern optimization techniques have overcome this issue.

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

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

5. You have been given a dataset with missing values. What is the first step you should take with the data?

A) Analyze the patterns and distribution of missing values.
B) Fill in the missing values with a default value.
C) Remove the columns with missing values.
D) Remove the rows with missing values.

Solutions: