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Microsoft Certified:Agentic AI Business Solutions Architect

Domain 3Objective 4

Design Responsible AI, Security, Governance, Risk Management, and Compliance AB-100 Practice Questions (Page 4)

Part of the Deploy AI-powered business solutions domain, which accounts for 40–45% of the AB-100 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~16–29 in this domain), expect 4–7 from this objective — we provide 48 practice questions to prepare you well beyond it. (estimate)

48questions here
10free pages
8concepts
40–45%of the exam

Questions 16–20

  1. 16foundation · easy

    Which activity is part of a responsible AI review?

    Select an answer first
  2. 17expert · hard

    A technology company is developing an AI agent that automatically summarizes news articles. The agent uses a fine-tuned model that was trained on a dataset containing biased articles. The company's responsible AI team is concerned about the agent producing biased summaries. The architect must propose a mitigation strategy that balances fairness, accuracy, and cost. What should the architect do?

    Select an answer first
  3. 18application · medium

    A healthcare organization uses an AI agent that retrieves patient data from a custom grounding index. The data science team needs to update the index with new clinical notes, but only the compliance officer should be able to export or view the raw notes. The agent itself must only access de-identified summaries. Which access control design should you implement?

    Select an answer first
  4. 19expert · hard

    A bank deploys an AI agent that provides loan pre-approval decisions. The agent has access to customer financial data and a decision model. The security team wants to protect the agent from unauthorized access, but the business requires that customers can check their application status without logging in. Which approach balances security and business requirements?

    Select an answer first
  5. 20expert · hard

    A defense contractor fine-tunes a proprietary model for document classification. The model is deployed in a private Azure environment. The contractor wants to protect the model from being extracted by users who send many queries. Which strategy should you implement?

    Select an answer first
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