NVIDIA NCA-GENM : NVIDIA Generative AI Multimodal

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What does 'modality alignment' refer to?

A) Aligning different modalities within multimodal data to ensure meaningful connections and associations.
B) The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
C) The integration of pretrained models to perform custom tasks involving different types of data.
D) Addressing challenges related to missing or incomplete information across different modalities.

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

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

3. 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 not linked to each other in a multimodal machine learning context.
C) Different modalities are linked through separate models that are ensembled by tree-based models.
D) Different modalities are linked through random connections.

4. Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

A) Prompt engineering
B) State management and composition
C) Neural network integration
D) Transfer learning

5. What is a common method to reduce the computational cost of deep learning models during inference?

A) Increasing the batch size.
B) Adding more convolutional filters.
C) Pruning weights or neurons.
D) By replacing activation functions in some neurons with simpler ones.

Solutions: