NVIDIA NCA-GENM : NVIDIA Generative AI Multimodal

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What role does 'late fusion' play in multimodal machine learning?

A) It refers to the process of combining multiple modalities at the decision level.
B) It refers to the process of combining multiple modalities at the feature level.
C) It refers to the process of combining multiple modalities at the preprocessing stage.
D) It refers to the process of combining multiple modalities at the training stage.

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

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

3. In multimodal machine learning, what does 'early fusion' refer to?

A) Integrating different modalities at the beginning of the model pipeline.
B) Implementing the model in the early stages of development of the ML solution.
C) Ignoring certain modalities and only using one modality for analysis and prediction.
D) Training separate models for each modality and then combining their 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) Identifying and handling missing values
D) Collecting additional data

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

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

Solutions: