Databricks Generative AI Engineer Associate Question 34
Single answerYou are designing a multi-stage reasoning pipeline for a generative AI solution in Databricks. The solution must first retrieve relevant data from a knowledge base, then analyze the retrieved data to generate insights, and finally execute an action based on the insights. Which of the following tools should be used in the correct order to achieve this?
- A
Retriever → Analyzer → Action Executor
- B
Analyzer → Retriever → Action Executor
- C
Retriever → Action Executor → Analyzer
- D
Action Executor → Retriever → Analyzer
Show answer and explanation
Correct answer: A
Explanation
In a multi-stage reasoning pipeline, the correct sequence of tools ensures an effective flow of operations. The 'Retriever' gathers the necessary knowledge or data, the 'Analyzer' interprets this information to derive insights, and the 'Action Executor' performs actions based on the analysis. This structured approach is essential for solutions involving generative AI in Databricks.
- A. Correct.
Correct. The 'Retriever' fetches relevant knowledge, the 'Analyzer' processes the retrieved data to generate insights, and the 'Action Executor' performs the final action based on those insights. This order ensures a logical flow in multi-stage reasoning.
- B. Incorrect.
Incorrect. Using 'Analyzer' before 'Retriever' would not be logical, as there is no data to analyze before retrieval.
- C. Incorrect.
Incorrect. Placing 'Action Executor' before 'Analyzer' would lead to actions being taken without any proper analysis of the context or data.
- D. Incorrect.
Incorrect. Starting with 'Action Executor' makes no sense in a multi-stage reasoning pipeline, as actions cannot be taken without retrieval and analysis first.