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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

A) Mean Opinion Score (MOS)
B) F1 Score
C) CTC Loss
D) Word Error Rate (WER)

2. You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A) To analyze the cost-effectiveness of AI model development.
B) To determine the ethical implications of AI model usage.
C) To study the impact of AI models on human behavior.
D) To determine the best AI model architecture.

3. Which of the following best describes the role of machine learning in handling multimodal data?

A) To eliminate the need for human intervention in data analysis.
B) To focus on textual data analysis.
C) To enable models to learn from and interpret diverse data types.
D) To reduce the amount of data needed for accurate predictions.

4. During the process of data cleansing, which of the following steps is NOT typically performed?

A) Removing duplicates
B) Transforming data into a different format
C) Collecting additional data
D) Identifying and handling missing values

5. In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

A) K-means clustering
B) Generative adversarial network (GAN)
C) Decision tree
D) Support vector machine (SVM)

Solutions: