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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. In experimentation, how does data augmentation contribute to improving model accuracy?

A) It has no impact on model accuracy and is primarily used for data visualization purposes.
B) It helps in increasing the size of the dataset, leading to better generalization of the model.
C) It improves the interpretability of the model by providing additional insights into the data.
D) It reduces the complexity of the model, making it easier to train and evaluate.

2. 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 mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.
C) It ensures that AI systems are transparent in their decision-making processes.
D) It requires AI systems to be developed with an ethical consideration for societal impacts.

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

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

4. What is contrastive learning in the context of multimodal deep learning? Pick the 2 correct responses below.

A) Contrastive learning is a technique used to train deep learning models by comparing similar and dissimilar inputs and optimizing the model to maximize the similarity between representations of similar inputs and minimize the similarity between representations of dissimilar inputs.
B) Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.
C) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the same objects and decreases the similarity of representations across modalities for different objects.
D) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the different objects and decreases the similarity of representations across modalities for same objects.
E) In a multimodal context, usually, contrastive learning decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.

5. 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) Decision Trees
B) K-Means Clustering
C) Linear Regression
D) Convolutional Neural Networks (CNN)

Solutions: