A company is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The company must ensure that responses from Amazo

Question

Options

• AConfigure the competitor's name as a blocked phrase in Amazon Q Business.
• BConfigure an Amazon Q Business retriever to exclude the competitor's name.
• CConfigure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the
• DConfigure document attribute boosting in Amazon Q Business to deprioritize the competitor's

• A
  73% (19)
• B
  15% (4)
• C
  4% (1)
• D
  8% (2)

Explanation

Blocked phrases in Amazon Q Business is a content filtering feature that prevents specific terms from appearing in the application's responses - making option A the direct, purpose-built solution for this requirement.

Why the distractors are wrong:

• B is incorrect because a retriever's job is to fetch relevant content from data sources, not to filter output text; excluding a name from retrieval doesn't guarantee it won't appear in generated responses.
• C is incorrect for the same reason - Kendra indexes control what documents are retrieved, not what words appear in the final generated answer.
• D is incorrect because document attribute boosting controls ranking/relevance of documents, not content suppression; the competitor's name could still surface in top-ranked results.

Memory tip: Think of "blocked phrases" as a content firewall on the output - it operates at the response level, which is the only layer that guarantees a word never reaches the user. Retriever and index settings operate on the input side (what data gets fetched), not the output side (what text gets returned).

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