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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
| Multimodal AI Systems | - Cross-modal learning
|
| Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
| Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Generative AI Concepts | - Generative models
|
NVIDIA Generative AI Multimodal Sample Questions:
1. 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.
2. In the context of multimodal machine learning, what does 'data fusion' refer to?
A) Separating different modalities of data into distinct representations.
B) Combining different modalities of data into a single representation.
C) Removing missing or incomplete information from different modalities.
D) Evaluating the quality of diverse data types in multimodal machine learning.
3. 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) Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.
C) More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
D) Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
4. Which of the following is a component of the Content Authenticity Initiative?
A) Ethical AI development
B) Content validity
C) Content credential
D) Data encryption
5. What does 'kernel fusion' refer to in the context of AI model optimization?
A) Applying multiple layers of kernels to improve model accuracy.
B) Optimizing model inference by reducing the number of computations by pruning.
C) Using kernel functions to optimize model hyperparameters.
D) Combining multiple kernels into a single kernel for faster computation.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
