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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following tasks can be performed using the transformer LLM encoder model?

A) Speech recognition
B) Semantic analysis
C) Generating code
D) Image generation

2. You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?

A) Line chart
B) Bar chart
C) Pie chart
D) Histogram chart

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

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

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

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

5. In experimentation, how does data augmentation contribute to improving model accuracy?

A) It helps in increasing the size of the dataset, leading to better generalization of the model.
B) It improves the interpretability of the model by providing additional insights into the data.
C) It reduces the complexity of the model, making it easier to train and evaluate.
D) It has no impact on model accuracy and is primarily used for data visualization purposes.

Solutions: