Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 24
A Generative AI Engineer is tasked with coding a LangChain-based RAG application that queries a large dataset of financial reports. The dataset includes structured and unstructured data. What components should the chain include? (Choose two)
- A A summarization model to condense retrieval results.
- B A classification model to categorize financial queries.
- C An embedding model to process both structured and unstructured data.
- D A pre-trained sentiment analysis model.
- E A retriever to fetch relevant data from the vector store.
Reveal correct answers
Correct answers: C, E
Explanation
Retrievers and embedding models ensure accurate and efficient query handling in the financial reports dataset.A. Incorrect: Summarization is not necessary for retrieving precise information from the dataset.
B. Incorrect: Classification does not directly aid retrieval in this scenario.
C. Correct: Embedding models ensure that all data types are semantically represented for retrieval.
D. Incorrect: Sentiment analysis is irrelevant for querying financial reports.
E. Correct: Retrievers enable semantic search and retrieval of relevant data.
Discussion
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