NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI Practice Questions: Trustworthy AI Domain
Test your NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI knowledge with 5 practice questions from the Trustworthy AI domain. Includes detailed explanations and answers.
NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI Practice Questions
Master the Trustworthy AI Domain
Test your knowledge in the Trustworthy AI domain with these 5 practice questions. Each question is designed to help you prepare for the NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI certification exam with detailed explanations to reinforce your learning.
Question 1
When deploying a multimodal AI application on NVIDIA's Triton Inference Server, what is a critical step to ensure responsible AI development?
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Correct Answer: undefined
Explanation: Option B is correct because continuous monitoring for bias helps identify and mitigate any unfair treatment of different user groups in real-time. Option A is incorrect because accuracy alone does not ensure fairness. Option C is incorrect as it limits the application's applicability and does not address bias. Option D is incorrect because feedback mechanisms are crucial for identifying and correcting biases.
Question 2
How can NVIDIA's TAO Toolkit contribute to developing trustworthy AI in a multimodal setting?
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Correct Answer: undefined
Explanation: Option C is correct because the TAO Toolkit simplifies transfer learning, allowing developers to incorporate diverse data, which is crucial for reducing bias. Option A is incorrect as no dataset can be guaranteed to be bias-free. Option B is incorrect because TAO does not offer automated bias detection tools. Option D is incorrect as automation alone does not ensure trustworthiness or bias mitigation.
Question 3
How can NVIDIA's RAPIDS AI suite help in detecting bias in a multimodal AI model?
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Correct Answer: undefined
Explanation: Option B is correct because RAPIDS AI provides data preprocessing capabilities that can be used to analyze and visualize dataset distributions, helping to identify potential biases. Option A is incorrect because inference optimization does not directly relate to bias detection. Option C is incorrect as RAPIDS does not automatically generate synthetic data. Option D is incorrect because cloud integration does not address bias detection.
Question 4
Which strategy is most effective for detecting bias in a multimodal AI model trained on NVIDIA's Jetson platform?
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Correct Answer: undefined
Explanation: Conducting regular audits with diverse stakeholder input is effective for detecting bias, as it incorporates various perspectives and expertise. NVIDIA's Jetson platform can facilitate such audits by providing robust analytics tools. Options A, C, and D are incorrect as they do not adequately address the detection of bias.
Question 5
How can NVIDIA's NeMo framework contribute to the development of trustworthy AI in multimodal applications?
Show Answer & Explanation
Correct Answer: undefined
Explanation: Option B is correct because NVIDIA's NeMo framework allows for fine-tuning models on specific datasets, which is crucial for assessing and mitigating bias. Option A is incorrect as using pre-trained models without customization does not address specific biases. Option C is incorrect as it focuses on performance rather than trustworthiness. Option D is incorrect as GPU memory usage is not directly related to developing trustworthy AI.
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About NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI Certification
The NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI certification validates your expertise in trustworthy ai and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.