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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. 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 manipulate and analyze multimodal data using Generative AI.
B) 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.
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) 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.
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.

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

3. Which of the following tasks can be performed using the transformer LLM encoder model?

A) Image generation
B) Semantic analysis
C) Speech recognition
D) Generating code

4. During the process of data cleansing, which of the following steps is NOT typically performed?

A) Removing duplicates
B) Identifying and handling missing values
C) Collecting additional data
D) Transforming data into a different format

5. What is the correct order of steps in an ML project?

A) Model evaluation, Data preprocessing, Model training, Data collection
B) Data collection, Data preprocessing, Model training, Model evaluation
C) Model evaluation, Data collection, Data preprocessing, Model training
D) Data preprocessing, Data collection, Model training, Model evaluation

Solutions: