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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

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

2. Which of the following is a component of the Content Authenticity Initiative?

A) Data encryption
B) Ethical AI development
C) Content validity
D) Content credential

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

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

4. In multimodal machine learning, what does 'early fusion' refer to?

A) Integrating different modalities at the beginning of the model pipeline.
B) Implementing the model in the early stages of development of the ML solution.
C) Ignoring certain modalities and only using one modality for analysis and prediction.
D) Training separate models for each modality and then combining their predictions.

5. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Quantization
B) Dropout
C) Model enlargement
D) Data augmentation

Solutions: