Quiz 2026 Microsoft AB-731: AI Transformation Leader Latest New Exam Papers
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Microsoft AB-731 Exam Syllabus Topics:
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Microsoft AI Transformation Leader Sample Questions (Q68-Q73):
NEW QUESTION # 68
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?
- A. Azure Speech in Foundry Tools
- B. Content Safety in Foundry Control Plane
- C. Azure Language in Foundry Tools
- D. Azure Vision in Foundry Tools
Answer: C
Explanation:
The requirement is to analyze text and identify "people, locations, and companies" mentioned in news articles. This is a classic Named Entity Recognition (NER) / entity extraction scenario, which falls under natural language processing. Azure Language in Foundry Tools is the correct choice because it provides text analytics capabilities that detect and categorize entities in unstructured text-commonly including Person
, Location , and Organization . This enables downstream experiences such as topic tagging, search filters (e.
g., "all articles mentioning Company X"), trend dashboards (top people/places mentioned this week), and improved content discovery.
The other options do not match the requirement. Content Safety focuses on moderating harmful or policy- violating content (for example, hate, violence, self-harm, sexual content) and is not the primary tool for extracting named entities. Azure Vision is for analyzing images and performing OCR; it would only be relevant if the articles were images or scans, but the task here is entity extraction from text articles. Azure Speech is for speech-to-text, text-to-speech, and audio analysis; it would be used if your input were audio recordings rather than written articles.
Therefore, to identify key entities (people, locations, companies) from daily news article text, the best recommendation is Azure Language in Foundry Tools .
NEW QUESTION # 69
Your company plans to use generative AI to help build a website that will showcase various existing products.
Which capability best describes a benefit of using generative AI for this project? Select the BEST answer.
- A. creating product descriptions based on product specifications
- B. designing a new product based on customer requirements
- C. analyzing product sales to identify patterns and trends
- D. translating product descriptions into a different language
Answer: A
Explanation:
For a product showcase website, the highest-impact, most directly relevant generative AI benefit is content creation at scale -producing consistent, high-quality product copy quickly. Option D matches a core generative AI capability: turning structured inputs (specifications such as dimensions, materials, features, compatibility, and use cases) into natural-language descriptions that are readable, persuasive, and formatted for web publishing. This accelerates catalog onboarding, reduces manual writing effort, and helps maintain a consistent tone and structure across thousands of SKUs.
Option A (translation) is also something generative AI can do, but it is a narrower, secondary capability compared to the primary website need: generating product copy from specs. Option B is predictive/analytical AI rather than generative content creation. Option C is plausible in ideation, but the scenario is about showcasing existing products, not inventing new ones. Therefore, D is the best answer because it aligns directly with the project's core workflow (product specs # publishable descriptions) and delivers measurable business value through speed, consistency, and reduced content production costs.
NEW QUESTION # 70
- 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 Copilot in Outlook can automatically send follow-up replies to emails. Answer: No
* Microsoft Copilot in Outlook can identify and surface tasks mentioned in your emails. Answer: Yes
* Microsoft Copilot in Outlook can summarize long email threads and highlight action items and deadlines. Answer: Yes
1) No - Copilot in Outlook can draft email responses and help you take actions, but sending messages is not positioned as an automatic "follow-up reply" behavior. Microsoft describes capabilities such as "Draft with Copilot" (generating email drafts from prompts) and Copilot chat actions that update the mailbox, which implies user-directed execution rather than autonomous follow-up sending.
2) Yes - Copilot supports contextual help over your inbox and can help you "catch up" and understand what' s due, which includes surfacing action-oriented items from recent communications. This aligns with using Copilot to pull together summaries of email messages and identify what requires attention.
3) Yes - Microsoft explicitly documents email-thread summarization in Outlook: Copilot scans a conversation and produces a summary of key points. Microsoft also describes Copilot's summarization capability as extracting key points from threads, which is commonly used to surface what matters most (including actions to take) when the thread is long.
NEW QUESTION # 71
Which practice best demonstrates operational governance when implementing AI solutions?
- A. Monitoring AI outputs for risk and compliance issues
- B. Allowing unrestricted AI deployment without reviews
- C. Limiting AI usage only to infrastructure teams
- D. Disabling audit logging to improve performance
Answer: A
Explanation:
Monitoring AI outputs for risk and compliance issues helps organizations identify bias, harmful content, privacy violations, and regulatory risks in real time. This ongoing oversight ensures AI systems remain aligned with governance policies, legal requirements, and responsible AI standards throughout their operational lifecycle.
Reference:
https://learn.microsoft.com/en-us/training/modules/embrace-responsible-ai-principles-practices/3- identify-guiding-principles-responsible-ai
NEW QUESTION # 72
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: improves the accuracy and reliability of the predictions and outputs Using high-quality grounding data in generative AI solution ____________________.
Using high-quality grounding data in generative AI is a foundational practice for increasing the accuracy, reliability, and trustworthiness of AI outputs. Grounding acts as a "reality check" for Large Language Models (LLMs) by connecting them to trusted, external knowledge sources- such as enterprise databases, documents, or live search engines-which reduces
"hallucinations" (incorrect or fabricated content) and ensures responses are based on verifiable facts.
Reference:
https://www.ibm.com/think/topics/ai-data-quality
NEW QUESTION # 73
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