NCA-GENM exam dumps

NCA-GENM practice question 131 of 228

NVIDIA-Certified Associate - Generative AI Multimodal. Associate level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-GENM Question 131

Select 4

A retail company aims to implement a generative AI multimodal solution to create personalized marketing content based on customer data (text and images). Which combination of system components would best meet the company's needs?

  1. A

    High-performance GPUs designed for AI workloads, such as NVIDIA Tensor Core GPUs

  2. B

    A large dataset that includes both labeled and unlabeled customer-specific text and image data

  3. C

    A cloud-based storage solution optimized for video streaming

  4. D

    Generative AI models pre-trained on multimodal datasets, such as NVIDIA's NeMo framework

  5. E

    A CPU-only infrastructure to reduce hardware costs

  6. F

    Software tools for fine-tuning models with domain-specific data, such as NVIDIA TAO Toolkit

Show answer and explanation

Correct answers: A, B, D, F

Explanation

To implement a generative AI multimodal solution for personalized marketing, the system must include high-performance GPUs for efficient AI processing, a relevant dataset combining text and image data, pre-trained multimodal models for faster deployment, and software tools for customization and fine-tuning. These components ensure the solution meets the company's requirements while delivering accurate and scalable results.

  • A. Correct.

    High-performance GPUs are critical for training and running generative AI models efficiently, especially for multimodal tasks that involve both text and image processing.

  • B. Correct.

    A diverse and relevant dataset is essential to train or fine-tune generative AI models effectively for personalized content generation.

  • C. Incorrect.

    A cloud-based storage solution optimized for video streaming is not directly relevant to multimodal generative AI tasks involving text and image data.

  • D. Correct.

    Pre-trained generative AI models, such as those in NVIDIA's NeMo framework, reduce development time and provide a strong foundation for multimodal tasks.

  • E. Incorrect.

    A CPU-only infrastructure lacks the computational power to handle the demands of generative AI workloads, particularly for multimodal solutions.

  • F. Correct.

    Software tools like NVIDIA TAO Toolkit enable fine-tuning of pre-trained models, which is crucial for adapting the solution to specific use cases, such as personalized marketing content.

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