AIF-C01 exam dumps

AIF-C01 practice question 118 of 231

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

AIF-C01 Question 118

Single answer

A company is building a customer support chatbot that uses Amazon Bedrock to complete multi-step tasks. The chatbot needs to collect user information, validate it against a database, and then confirm the appointment with a personalized response. Which of the following best describes how an agent in Amazon Bedrock can help achieve this functionality?

  1. A

    An agent in Amazon Bedrock orchestrates the workflow by breaking down the multi-step task into manageable API calls to different systems.

  2. B

    An agent in Amazon Bedrock directly stores user data in Amazon S3 for future processing.

  3. C

    An agent in Amazon Bedrock is responsible for training machine learning models to improve chatbot accuracy.

  4. D

    An agent in Amazon Bedrock handles natural language understanding and directly generates responses without needing external API integration.

Show answer and explanation

Correct answer: A

Explanation

Agents in Amazon Bedrock are designed to orchestrate multi-step workflows by breaking down tasks into smaller steps and interacting with APIs or external systems as necessary. In this scenario, the agent would manage the process of collecting information, validating it, and generating a confirmation response by integrating with the required systems, which aligns with the functionality described in option 1.

  • A. Correct.

    Correct. An agent in Amazon Bedrock can orchestrate multi-step workflows by breaking down tasks into smaller actions, integrating with APIs or external systems as needed.

  • B. Incorrect.

    Incorrect. Storing user data is not the primary role of an agent in Amazon Bedrock. Data storage would typically be handled by services like Amazon S3 or DynamoDB, not the agent itself.

  • C. Incorrect.

    Incorrect. Training machine learning models is not the role of an agent in Amazon Bedrock. Agents are designed for orchestrating tasks, not model training.

  • D. Incorrect.

    Incorrect. While an agent in Amazon Bedrock may handle natural language interactions, completing multi-step tasks often requires external API calls, which this option does not describe.

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