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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following is a component of the Content Authenticity Initiative?

A) Content credential
B) Data encryption
C) Ethical AI development
D) Content validity

2. How does the batch size influence VRAM consumption during inference with ML models on GPUs?

A) Increasing the batch size reduces VRAM consumption because more data can be processed in parallel.
B) Decreasing the batch size reduces VRAM consumption.
C) The batch size has no impact on VRAM consumption during inference.
D) Increasing or decreasing the batch size has the same impact on VRAM consumption.

3. What does mixed-precision training refer to?

A) Training a model using multiple precision levels, such as using both single-precision and double- precision floating-point numbers.
B) Training a model using different types of data, such as text, images, audio, time series, and geospatial information.
C) Training a model using diverse data types while addressing challenges related to missing or incomplete information.
D) Training a model using incomplete or missing information from different modalities.

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) Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
C) More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
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. What are some methods to overcome limited throughput between CPU and GPU?

A) Using techniques like memory pooling.
B) Increase the number of CPU cores.
C) Upgrade the GPU to a higher-end model.
D) Increase the clock speed of the CPU.

Solutions: