AIF-C01 exam dumps

AIF-C01 practice question 79 of 231

AWS Certified AI Practitioner. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

AIF-C01 Question 79

Select 3

A retail company wants to implement a generative AI model to create personalized product descriptions for its e-commerce platform. The company needs the model to generate text in multiple languages, comply with data privacy regulations like GDPR, and provide high-quality outputs within a low-latency environment. Which factors should the company consider while selecting the appropriate generative AI model?

  1. A

    The model's multilingual capabilities

  2. B

    Whether the model is pre-trained or requires training from scratch

  3. C

    The model's compliance with data privacy regulations such as GDPR

  4. D

    The hardware and infrastructure required to meet low-latency performance needs

  5. E

    The number of training datasets available for the model

Show answer and explanation

Correct answers: A, C, D

Explanation

The company has specific requirements, such as multilingual capabilities, compliance with GDPR, and low-latency performance. Therefore, the appropriate generative AI model must align with these factors. Other considerations, such as whether the model is pre-trained or the number of training datasets, are secondary to the primary requirements listed.

  • A. Correct.

    Correct: Since the company needs to generate text in multiple languages, evaluating the model's multilingual capabilities is essential.

  • B. Incorrect.

    Incorrect: While pre-trained models might reduce time to production, this factor is less critical than other requirements in this scenario.

  • C. Correct.

    Correct: Compliance with data privacy regulations like GDPR is crucial when handling customer data in AI applications.

  • D. Correct.

    Correct: Considering the hardware and infrastructure to achieve low latency aligns with the company's performance requirements.

  • E. Incorrect.

    Incorrect: The number of training datasets is not directly relevant, as pre-trained generative models may already handle the task without additional data.

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