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Salesforce

AI-201 · Question #45

Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies…

The correct answer is C. Use the default retriever, as it already searches the entire search index and provides broad. NOTE: This answer as marked (C) appears to be an error in the source question. Option C - using the default retriever because it 'provides broad coverage' - does not address the problem of receiving too many irrelevant results; broad coverage is precisely the cause of the…

AI Features for Service (e.g., Einstein Bots, Next Best Action)

Question

Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?

Options

  • AModify the search index to only store documents from the last year and remove older records.
  • BCreate a custom retriever in Einstein Studio, and apply filters for publication date and product line.
  • CUse the default retriever, as it already searches the entire search index and provides broad

How the community answered

(31 responses)
  • A
    13% (4)
  • B
    3% (1)
  • C
    84% (26)

Explanation

NOTE: This answer as marked (C) appears to be an error in the source question. Option C - using the default retriever because it 'provides broad coverage' - does not address the problem of receiving too many irrelevant results; broad coverage is precisely the cause of the problem. The logically correct answer is B: creating a custom retriever in Einstein Studio with filters for publication date and product line directly resolves the issue by narrowing results to relevant, current documents. Option A (deleting older records) is too destructive and loses historical data. If C is truly the intended answer, it would only be defensible as a baseline step before layering filters, but that reasoning is not supported by the question context. Treat B as the operationally correct solution.

Topics

#AI Retrieval#Search Relevance#Data Cloud

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