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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

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

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

3. In a Generative Adversarial Network (GAN), what is the role of the discriminator?

A) To optimize the training process.
B) To distinguish between real and generated data.
C) To calculate the loss function and update the generator.
D) To generate new data based on the training set.

4. In the context of multimodal machine learning, what does 'data fusion' refer to?

A) Separating different modalities of data into distinct representations.
B) Removing missing or incomplete information from different modalities.
C) Combining different modalities of data into a single representation.
D) Evaluating the quality of diverse data types in multimodal machine learning.

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

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

Solutions: