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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Dropout
B) Quantization
C) Model enlargement
D) Data augmentation

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

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

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

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

4. Assume you need to implement a multimodal pipeline to diagnose brain cancer type using MRI scans and their corresponding radiology reports. What do you need to include in the ablation study?

A) Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.
B) More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
C) Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
D) Training a deep learning model using the images in the dataset to find outliers and enhancing the quality of MRI scans using image processing techniques.

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

A) It requires AI systems to be developed with an ethical consideration for societal impacts.
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 involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.

Solutions: