Databricks Generative AI Engineer Associate exam dumps

Databricks Generative AI Engineer Associate practice question 31 of 306

Databricks Certified Generative AI Engineer Associate. Free level, Databricks. Free question with the correct answer and a full explanation.

Databricks Generative AI Engineer Associate Question 31

Select 3

You are designing a generative AI application in Databricks that requires multi-stage reasoning to answer complex questions with intermediate steps. Which of the following tools should be prioritized and ordered correctly to enable this process?

  1. A

    Knowledge retrieval tools to fetch relevant context or data from external sources

  2. B

    Planning tools to structure the reasoning process into multiple stages

  3. C

    Action tools for executing tasks or interacting with external systems

  4. D

    Data cleaning tools to preprocess raw data before reasoning

  5. E

    Fine-tuning tools to train the generative model with domain-specific data

Show answer and explanation

Correct answers: A, B, C

Explanation

Multi-stage reasoning requires a structured approach that starts with retrieving relevant information (knowledge retrieval), organizing the reasoning process into steps (planning tools), and finally executing tasks or interacting with systems as needed (action tools). Data cleaning and fine-tuning are important for data and model preparation but are not part of the reasoning process itself.

  • A. Correct.

    Knowledge retrieval tools are critical for fetching external context or data, which is often the initial step in multi-stage reasoning.

  • B. Correct.

    Planning tools are necessary to structure the reasoning process in a step-by-step manner, ensuring each stage builds on the previous one.

  • C. Correct.

    Action tools allow the system to interact with external systems or execute tasks as part of the reasoning process, often forming the final stage.

  • D. Incorrect.

    Data cleaning tools are useful for preprocessing raw data but are not typically part of the reasoning process itself. They are more relevant in data preparation workflows.

  • E. Incorrect.

    Fine-tuning tools are used for training models but do not directly contribute to the runtime reasoning or decision-making process in a multi-stage reasoning system.

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