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AI-900 · Question #222

Drag and Drop Question You are designing a system that will generate insurance quotes automatically. Match the Microsoft responsible AI principles to the appropriate requirements. To answer, drag the

Microsoft's Responsible AI principles are matched to requirements as follows: Fairness ensures the AI system generates quotes without bias based on protected characteristics like race or gender; Reliability and Safety ensures the system performs consistently and accurately under

Submitted by rohit_dlh· Mar 30, 2026Describe Fundamental AI Concepts – Specifically understanding Microsoft's six core Responsible AI principles (Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability) and their practical application in real-world AI system design scenarios, as tested in the AI-900 Azure AI Fundamentals certification.

Question

Drag and Drop Question You are designing a system that will generate insurance quotes automatically. Match the Microsoft responsible AI principles to the appropriate requirements. To answer, drag the appropriate principle from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct match is worth one point. Answer:

Exhibit

AI-900 question #222 exhibit

Options

  • Option 1Accountability
  • Option 2Fairness
  • Option 3Inclusiveness
  • Option 4Privacy and security
  • Option 5Reliability and safety
  • Option 6Transparency

Explanation

Microsoft's Responsible AI principles are matched to requirements as follows: Fairness ensures the AI system generates quotes without bias based on protected characteristics like race or gender; Reliability and Safety ensures the system performs consistently and accurately under various conditions; Transparency ensures that customers and stakeholders understand how quotes are calculated and what factors influence decisions; Privacy and Security ensures that sensitive personal and financial data used in quote generation is protected; Accountability ensures there are clear human oversight mechanisms and governance processes in place for the AI system; and Inclusiveness ensures the system is accessible and works equitably for all users, including those with disabilities or from underrepresented groups. Each principle directly addresses a specific risk or requirement inherent in automated insurance quote generation.

Topics

#Responsible AI#Microsoft AI Principles#AI Ethics#Azure AI Fundamentals

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