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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following best describes the role of machine learning in handling multimodal data?

A) To enable models to learn from and interpret diverse data types.
B) To focus on textual data analysis.
C) To reduce the amount of data needed for accurate predictions.
D) To eliminate the need for human intervention in data analysis.

2. Which framework is used for conversational AI models development?

A) NVIDIA Metropolis
B) NVIDIA Clara
C) NVIDIA DeepStream
D) NVIDIA NeMo

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

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

4. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To classify and categorize data based on patterns and features.
B) To optimize search algorithms for faster data retrieval.
C) To produce new data that is similar to the training data.
D) To optimize decision-making processes based on historical data.

5. Which of the following is a disadvantage of the ReLU activation function?

A) It is prone to vanishing gradient problem.
B) It can cause dead neurons.
C) It is computationally expensive.
D) It is not suitable for deep neural networks.

Solutions: