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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Certified: AI Transformation Leader |
| Exam Number: | AB-731 |
| Available Languages: | English |
| Related Certifications: | Microsoft Certified: AI Transformation Leader |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 45 minutes |
| Exam Format: | Multiple choice, Build list, Case studies, Drag and drop |
| Certificate Validity Period: | 1 year (renewable) |
| Exam Price: | USD 99 |
| 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 |
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NEW QUESTION # 18
Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied.
Which Microsoft responsible AI principle is this an example of?
Answer: C
Explanation:
The correct answer is A. transparency. Transparency means users and stakeholders should understand when AI is being used, what the AI system can do, what its limitations are, and how important outputs or decisions were produced. In this scenario, applicants can request an explanation for why a loan application was denied.
That explanation capability makes the AI-assisted decision more understandable and reviewable, which directly supports transparency. Fairness is related to avoiding unjust bias or discriminatory outcomes. Privacy and security focus on protecting personal and organizational data. Inclusiveness focuses on ensuring AI systems work for people with different abilities, backgrounds, and experiences. Because the scenario is specifically about explaining a decision, the best answer is transparency.
NEW QUESTION # 19
Your company manages a website that publishes daily news articles.
You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles.
What should you include in the recommendation?
Answer: B
Explanation:
Azure Language in Foundry Tools can analyze text and identify main entities, including people, locations, and companies. This capability is officially known as Named Entity Recognition (NER).
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/language
NEW QUESTION # 20
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
Microsoft 365 Copilot can amplify existing data governance challenges.
answer: Yes
Implementing Microsoft 365 Copilot reduces data management costs.
answer: No
Microsoft 365 Copilot can help IT teams manage data risks.
answer: Yes
Yes - Copilot relies on the permissions, sharing links, and content exposure that already exist in Microsoft
365. If an organization has oversharing (for example, broadly accessible SharePoint sites, poorly scoped Teams, unmanaged external sharing, or excessive access rights), Copilot can surface that content more easily through natural-language querying. In other words, Copilot doesn't create new permissions, but it can increase visibility of governance gaps and make the impact of weak information architecture more apparent.
No - It is not accurate to claim that implementing Copilot inherently reduces data management costs.
Adoption often requires up-front investment in data hygiene, sensitivity labeling, retention, permission cleanup, DLP, and change management. Some organizations may realize productivity gains or reduced effort over time, but "reduces costs" is not a guaranteed outcome and depends heavily on the current state of governance, the scale of remediation needed, and how Copilot is rolled out.
Yes - Copilot can support IT risk management when deployed with the right controls: identity and access governance, sensitivity labels, DLP policies, retention, auditing, and compliance tooling. Because Copilot operates within the Microsoft 365 security/compliance boundary and honors existing access controls, IT can apply centralized policies to reduce leakage risk and improve overall control of how organizational data is accessed and used.
NEW QUESTION # 21
- For each of the following statements, select Yes if the statement is true. Otherwise, select No . NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Prompt engineering changes how a generative AI model was trained. Answer: No
* Prompt engineering focuses on designing clear, concise, and context-rich instructions. Answer: Yes
* Effective prompt engineering involves maximizing the number of tokens used in each request. Answer:
No
* No - Prompt engineering does not modify model weights or retrain the model. It is an inference-time technique : you steer outputs by improving the instructions and context you send to the model.
Changing how a model was trained would involve pretraining, fine-tuning, or other training methods- separate from prompt engineering.
* Yes - The primary goal of prompt engineering is to reduce ambiguity and variability by providing clear instructions , the right context , and explicit output constraints . This often includes specifying role and task, providing necessary facts or grounding text, defining format (bullets, JSON, headings), and adding examples (few-shot) when helpful. Well-constructed prompts improve consistency, relevance, and usefulness of outputs.
* No - Good prompt engineering does not mean "use as many tokens as possible." In fact, using unnecessary tokens can increase cost and may degrade quality by adding noise. Effective prompts are typically as short as possible but as long as necessary : enough context to achieve accuracy and alignment, but not bloated. Token discipline matters because most pricing is token-based and long contexts can dilute attention over what's most important.
NEW QUESTION # 22
What is a key feature of Microsoft 365 Copilot that aligns with the Microsoft responsible AI principles of transparency, reliability, and safety?
Answer: A
Explanation:
By using Retrieval-Augmented Generation (RAG), Microsoft 365 Copilot ensures that its responses are not just creative guesses, but are anchored in your specific organizational context-
-such as your emails, documents, and chats.
This "grounding" process is fundamental because it:
Reduces Hallucinations: It prioritizes your data over general internet knowledge.
Ensures Permissioning: It only accesses data the specific user already has the right to see.
Maintains Transparency: It typically provides citations so you can verify the source of the information.
Reference:
https://medium.com/@praneetsy/rag-in-microsoft-365-copilot-how-retrieval-makes-ai-business-aware-e77f8ee77c7c
NEW QUESTION # 23
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