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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) Ethical AI development
C) Data encryption
D) Content validity

2. 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) 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.
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) Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.

3. What are some methods to overcome limited throughput between CPU and GPU?

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

4. In LLM evaluation, what does "zero-shot learning" refer to?

A) The model's performance after extensive training
B) The model's ability to learn from zero examples
C) A technique to reduce training time to zero
D) The model's ability to perform tasks it has not been explicitly trained on

5. You have been given a dataset with missing values. What is the first step you should take with the data?

A) Remove the rows with missing values.
B) Analyze the patterns and distribution of missing values.
C) Remove the columns with missing values.
D) Fill in the missing values with a default value.

Solutions: