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

2. What does 'modality alignment' refer to?

A) The integration of pretrained models to perform custom tasks involving different types of data.
B) Addressing challenges related to missing or incomplete information across different modalities.
C) The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
D) Aligning different modalities within multimodal data to ensure meaningful connections and associations.

3. You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

A) Scatter plot
B) Pie chart
C) Bar chart
D) Line chart

4. In large-language models, what is the purpose of the attention mechanism?

A) To determine the order in which words are generated.
B) To measure the importance of the words in the output sequence.
C) To capture the order of the words in the input sequence.
D) To assign weights to each word in the input sequence.

5. Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A) Box plot
B) Pie chart
C) Histogram
D) Heatmap

Solutions: