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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Certified: AI Transformation Leader |
| Exam Number: | AB-731 |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Format: | Case studies, Build list, Multiple choice, Drag and drop |
| Exam Price: | USD 99 |
| Exam Duration: | 45 minutes |
| Passing Score: | 700 / 1000 |
| Related Certifications: | Microsoft Certified: AI Transformation Leader |
| Certificate Validity Period: | 1 year (renewable) |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online or at a test centre |
| Pre Condition: | No formal prerequisites. Recommended: familiarity with Microsoft 365 services, Azure AI services, and experience with adoption or change management in a business context. This certification is designed for business decision-makers at all levels; no coding is required. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-731 |
10年以上のビジネス経験により、当社のAB-731テストトレントは、顧客の購入体験を非常に重要視していました。電子製品の購入速度を心配する必要はありません。弊社では、AB-731試験準備の信頼性を長期間にわたって評価および評価し、保証された購入スキームを提案するために尽力しています。必要な場合は、AB-731テストトレントを使用するためのリモートオンラインガイダンスも利用できます。通常、購入後数分でAB-731練習問題を効率よく取得できます。
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質問 # 42
Hotspot Question
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
Box: model inaccuracy
When a generative AI model produces output that seems realistic but contains incorrect information, the behavior is known as _______________.
That specific behavior-where the AI generates plausible-sounding but factually incorrect information-is known as hallucination.
While "model inaccuracy" is a broad way to describe it, "hallucination" specifically refers to when a generative AI model-like a large language model (LLM)-produces incorrect, misleading, or entirely fabricated information while presenting it as fact with a confident and plausible tone.
Reference:
https://www.techtimes.com/articles/314230/20260122/ai-hallucinations-explained-why-generative- ai-often-produces-inaccurate-results.htm
質問 # 43
You need to create an AI assistant for a public customer support portal. The assistant must answer customer questions and start follow-up actions. The solution must minimize development effort.
What should you use?
正解：B
質問 # 44
Hotspot Question
Select the answer that correctly completes the sentence.
正解：
解説：
質問 # 45
Your company plans to use an AI-powered solution to analyze customer feedback for insights related to future product designs.
You need to mitigate the privacy risks associated with the solution.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
正解：D
解説：
An AI-powered solution to analyze customer feedback while mitigating privacy risks requires a
"privacy by design" approach, utilizing automated, AI-driven PII (Personally Identifiable Information) masking to remove sensitive data before it reaches the analysis model. This process ensures compliance with regulations like GDPR and CCPA while maintaining data utility for sentiment and theme analysis.
That is a sound strategy. To effectively mitigate privacy risks while maintaining the utility of your AI analysis, you should implement a robust De-identification or Data Masking layer before the data hits the LLM.
Reference:
https://encompaas.cloud/blog/ai-and-privacy
質問 # 46
You have a large language model (LLM) that was pretrained by using public data.
You want the LLM to generate responses that incorporate frequently updated proprietary content, such as internal documents and knowledge bases.
You need to recommend a solution to ensure that the LLM uses the most current information without retraining the model.
What should you include in the recommendation?
正解：B
解説：
Retrieval-Augmented Generation (RAG) is the optimal, industry-standard approach for incorporating frequently updated proprietary data into an LLM's output. It works by connecting a pre-trained LLM to an external, dynamic knowledge base--such as company documents--using vector databases to retrieve relevant context in real-time, reducing hallucinations and eliminating the need for constant, costly retraining.
Reference:
https://shiftasia.com/community/retrieval-augmented-generation-rag-a-comprehensive-guide-to-smarter-more-accurate-ai
質問 # 47
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AB-731予想試験: https://www.jpntest.com/shiken/AB-731-mondaishu
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