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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. You are developing a GenAI-Multimodal system that uses data from various sources. What is one potential issue you need to consider in relation to bias in data?

A) Bias in data can only be addressed after the AI system has been deployed.
B) Bias in data is irrelevant as long as the AI system produces accurate predictions.
C) Bias in data is not a concern for AI systems as they are designed to be neutral and objective.
D) The data used to train the AI system may not be representative of the population it is intended to serve.

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

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

3. What does mixed-precision training refer to?

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

4. You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?

A) Linear Regression
B) Decision Trees
C) K-Means Clustering
D) Convolutional Neural Networks (CNN)

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

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

Solutions: