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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 55 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 55
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

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 Amazon Q Business do not include the name of the company's main competitor.
Which solution will meet this requirement?

  • A. Configure the competitor's name as a blocked phrase in Amazon Q Business.
  • B. Configure an Amazon Q Business retriever to exclude the competitor’s name.
  • C. Configure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the competitor's name.
  • D. Configure document attribute boosting in Amazon Q Business to deprioritize the competitor's name.
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Suggested Answer: A 🗳️
by GiorgioGss at Nov. 27, 2024, 11:08 p.m.
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eesa
1 week, 6 days ago
Selected Answer: A
The correct answer is: A. Configure the competitor's name as a blocked phrase in Amazon Q Business. ✅ Explanation: Requirement: Prevent Amazon Q Business from including the name of a specific competitor in its responses. ✅ Option A: Blocked Phrase Amazon Q Business supports blocked phrases, which you can configure to filter out or redact sensitive terms (like a competitor’s name) from its responses. This is a direct feature designed for this exact use case: ensuring certain words or phrases do not appear in generated content. Lowest operational overhead and highest precision.
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GiorgioGss
4 months, 1 week ago
Selected Answer: A
https://docs.aws.amazon.com/amazonq/latest/api-reference/API_BlockedPhrasesConfiguration.html
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