Databricks Generative AI Engineer Associate Question 36
Select 3You are designing a Generative AI system on Databricks for a customer support chatbot that requires multi-stage reasoning to handle complex queries. Which tools would you use and in what order to effectively gather knowledge and take actions during the reasoning process?
- A
Knowledge Base Search for retrieving relevant documents based on the user's query
- B
Language Model for summarizing retrieved documents and generating coherent responses
- C
Action Execution Tool for performing tasks or retrieving external data based on reasoning
- D
Data Preprocessing Tool for cleaning raw data before feeding it into the pipeline
- E
Feedback Loop Mechanism for analyzing the response and refining future reasoning steps
Show answer and explanation
Correct answers: A, B, C
Explanation
Multi-stage reasoning in Generative AI systems requires a structured approach where tools are used in a logical sequence. First, the Knowledge Base Search retrieves relevant documents to provide context. Next, the Language Model processes and summarizes the retrieved data to generate a response. Finally, the Action Execution Tool enables the system to take actions or fetch additional data as needed. While preprocessing and feedback loops are important for overall system quality, they are not direct components of the reasoning workflow in this scenario.
- A. Correct.
Knowledge Base Search is essential for retrieving contextually relevant information, which serves as the foundation for reasoning in a multi-stage process.
- B. Correct.
The Language Model is critical for processing and summarizing retrieved knowledge and generating responses that align with the user's query.
- C. Correct.
An Action Execution Tool is necessary for performing tasks or accessing additional external data during intermediate steps in the reasoning process.
- D. Incorrect.
While Data Preprocessing is important, it is a preparatory step that occurs before the reasoning process begins and is not part of multi-stage reasoning itself.
- E. Incorrect.
A Feedback Loop Mechanism is useful for iterative improvement but is not a direct tool in the multi-stage reasoning process for generating responses.