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

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

A) It ensures that AI systems are transparent in their decision-making processes.
B) It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
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. In the transformer architecture, what is the purpose of positional encoding?

A) To remove redundant information from the input sequence.
B) To encode the semantic meaning of each token in the input sequence.
C) To add information about the order of each token in the input sequence.
D) To encode the importance of each token in the input sequence.

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

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

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) Convolutional Neural Networks (CNN)
D) Linear Regression

Solutions: