AIF-C01 exam dumps

AIF-C01 practice question 100 of 231

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

AIF-C01 Question 100

Select 3

Your company plans to build a customer service chatbot using a foundation model like Amazon Bedrock. The chatbot needs to handle sensitive customer data, ensure responses are accurate, and provide cost-effective scalability. Which considerations should you prioritize during the design process?

  1. A

    Implement fine-tuning of the foundation model to adapt to domain-specific terminology and customer requirements.

  2. B

    Enable data encryption for any sensitive customer data transmitted to and from the model.

  3. C

    Rely solely on the foundation model's pre-trained capabilities without customization for faster deployment.

  4. D

    Incorporate a human-in-the-loop mechanism to review and correct certain responses for critical scenarios.

  5. E

    Select a foundation model solely based on its size (e.g., number of parameters) to ensure high performance.

Show answer and explanation

Correct answers: A, B, D

Explanation

When designing applications with foundation models, it is important to consider fine-tuning for domain specificity to improve relevance and accuracy, implement encryption to handle sensitive data securely, and include mechanisms like human-in-the-loop for critical scenarios to ensure reliability. These considerations help meet accuracy, security, and scalability requirements while avoiding unnecessary costs or risks.

  • A. Correct.

    Fine-tuning the foundation model allows you to adapt it to your specific domain and improve its accuracy in handling customer interactions, which is critical for a chatbot.

  • B. Correct.

    Sensitive customer data must be protected with encryption to comply with security and privacy regulations, ensuring customer trust.

  • C. Incorrect.

    Relying solely on pre-trained capabilities may lead to suboptimal responses or inaccuracies for domain-specific use cases, making this approach unsuitable for critical applications.

  • D. Correct.

    A human-in-the-loop mechanism ensures that critical or sensitive responses can be reviewed and corrected, improving both accuracy and customer trust.

  • E. Incorrect.

    Choosing a foundation model based solely on size is not an optimal approach, as performance depends on other factors like domain relevance, cost, and efficiency.

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