NCA-GENM PDF Practice Q&A's

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  • Total Questions: 58
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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionWeightObjectives
Data Analysis and Visualization10%- Visualization techniques for model behavior and results
- Analyzing multimodal datasets and outputs
- Interpretation of generative AI outputs
Core Machine Learning and AI Knowledge20%- Fundamental concepts of machine learning and deep learning
- Generative AI principles and techniques
- Neural network architectures relevant to multimodal systems
Multimodal Data15%- Characteristics of text, image, and audio data
- Multimodal model architectures and integration
- Data preprocessing, fusion, and representation
Trustworthy AI5%- Ethical considerations and responsible use
- Reliability, fairness, and safety in generative systems
- Robustness and error mitigation
Performance Optimization10%- Model efficiency and inference optimization
- Hardware acceleration with NVIDIA platforms
- Scalability and deployment considerations
Software Development and Engineering15%- Libraries, frameworks, and tools for multimodal AI
- Development workflows for generative AI applications
- Best practices for building and maintaining systems
Experimentation25%- Model training, fine-tuning, and evaluation
- Experiment design and methodology
- Metrics and validation strategies for generative models

NVIDIA Generative AI Multimodal Sample Questions:

1. 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) Pie chart
C) Bar chart
D) Histogram chart


2. 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) Line chart
B) Pie chart
C) Bar chart
D) Scatter plot


3. What is the purpose of the cuDNN library?

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


4. You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?

A) Calculating the loss function of the model on the training set.
B) Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
C) Interviewing the developers of the AI model to assess its performance.
D) Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.


5. Which of the following is a component of the Content Authenticity Initiative?

A) Content validity
B) Data encryption
C) Ethical AI development
D) Content credential


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: C
Question # 4
Answer: B
Question # 5
Answer: D

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