NVIDIA NCA-GENM Test Passed : NVIDIA Generative AI Multimodal

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following is a disadvantage of the ReLU activation function?

A) It can cause dead neurons.
B) It is not suitable for deep neural networks.
C) It is computationally expensive.
D) It is prone to vanishing gradient problem.

2. What is the purpose of the cuDNN library?

A) To implement GPU-accelerated data preparation and feature extraction.
B) To optimize deep neural network computations on NVIDIA GPUs.
C) To measure GPU usage and other metrics with Prometheus.
D) To generate images from English text-prompts using CLIP.

3. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To produce new data that is similar to the training data.
B) To optimize decision-making processes based on historical data.
C) To optimize search algorithms for faster data retrieval.
D) To classify and categorize data based on patterns and features.

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

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

5. You have been given a dataset with missing values. What is the first step you should take with the data?

A) Analyze the patterns and distribution of missing values.
B) Remove the columns with missing values.
C) Remove the rows with missing values.
D) Fill in the missing values with a default value.

Solutions: