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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | AI Transformation Leader |
| Exam Number: | AB-731 |
| Exam Format: | Proctored online exam, Interactive components (may be included), Multiple-choice / scenario-based questions |
| Passing Score: | 700 |
| Related Certifications: | Microsoft AI Business Professional (AB-730) |
| Available Languages: | English |
| Exam Price: | $99 USD |
| Exam Duration: | 45 minutes |
| Recommended Training: | AB-731T00: Drive AI transformation in your organization |
| Exam Registration: | Official Microsoft certification page Exam scheduling (Pearson VUE via Microsoft portal) |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online proctored exam (may include interactive components) |
| Pre Condition: | No formal prerequisites required; designed for business leaders and decision-makers. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/ai-transformation-leader/ |
我們Testpdf Microsoft的AB-731的考題按照相同的教學大綱，其次是實際的Microsoft的AB-731認證考試，我們也是不斷的升級我們的培訓資料，你得到的所有產品高達1年的免費更新，你也可以隨時延長更新訂閱時間，你將得到更多的時間來充分準備考試。如果你還為了要不要使用Testpdf這個網站的培訓資料而感到困惑或者猶豫不決，那麼你可以先在Testpdf網站裏下載部分關於考試的試題及答案，免費試用，如果它很適合你，你可以再去購買也不遲，保證你絕不後悔。
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問題 #15
Hotspot Question
Select the answer that correctly completes the sentence.
答案：
解題說明：
Explanation:
Box: guide AI strategy, ensure responsible AI oversight, and promote alignment across business units.
To ensure that your organization follows trustworthy AI principles, the organization should establish an AI governance council to _____________________.
An AI governance council should be a cross-functional, multidisciplinary body that oversees the development, deployment, and evaluation of AI solutions to ensure they are ethical, secure, and aligned with organizational values. Key functions include establishing accountability, managing risks, ensuring regulatory compliance (e.g., privacy), and promoting transparency and fairness.
Core Responsibilities
The council's mandate typically covers the entire AI lifecycle:
*-> Strategy & Policy: Developing internal AI usage policies and identifying high-risk use cases.
*-> Risk Oversight: Conducting impact assessments for bias, privacy, and security before deployment.
Continuous Monitoring: Tracking live models for "drift" (performance degradation over time) or emerging ethical issues.
Culture & Literacy: Driving organization-wide training to build AI fluency and a responsible AI culture.
Audit & Reporting: Maintaining transparent records and "model cards" to demonstrate accountability to stakeholders and regulators.
Reference:
https://athena-solutions.com/ai-governance-framework-2025/
問題 #16
You need to recommend an AI solution for each task. The solutions must use prebuilt AI capabilities to reduce development time. What should you recommend for each task?
答案：
解題說明：
Explanation:
Extract information from invoices and credit notes: Azure Document Intelligence in Foundry Tools Identify discussion topics in customer service call recordings: Azure AI Search Detect customer sentiment and opinions: Azure AI Search To minimize development time, you should select services that provide prebuilt extraction and enrichment rather than building custom models.
For invoices and credit notes , the best fit is Azure Document Intelligence because it is purpose-built for intelligent document processing and includes prebuilt models (such as invoice-style extraction) that return structured fields (invoice number, vendor, totals, dates, line items). This directly satisfies "extract information" from financial documents without custom ML training.
For customer service call recordings , the raw input is audio, but the task is to identify "discussion topics," which is an information discovery and text-enrichment problem once the calls are transcribed. Azure AI Search is the correct recommendation because it can index large collections of content and apply built-in AI enrichment (for example, key phrase extraction and entity extraction) to help derive and query "topics" across many records.
For sentiment and opinions , Azure AI Search is again the best choice in this constrained list because it can run built-in enrichment skills over ingested text (such as transcripts or notes) to annotate content with sentiment-related metadata and then make that enriched data searchable and filterable at scale. This approach delivers fast time-to-value: ingest # enrich # index # query, without standing up a custom training pipeline.
問題 #17
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?
答案：B
解題說明：
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 .
問題 #18
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
Answer Area
* Azure Vision in Foundry Tools can extract and analyze key phrases from PDF files. Answer: No
* Azure Vision in Foundry Tools can generate images based on natural language descriptions. Answer:
No
* Azure Document Intelligence in Foundry Tools can be used to automate the processing of invoices and credit notes. Answer: Yes
* No - Azure Vision in Foundry Tools focuses on computer vision tasks such as image analysis and OCR (reading text from images and documents). While it can extract text from scanned PDFs via OCR, key phrase extraction is a natural language processing capability provided by Azure Language in Foundry Tools , not Azure Vision. Key phrase extraction analyzes text to identify main concepts, which is a different service family than vision.
* No - Azure Vision can analyze existing images (for example, generate captions/descriptions of an image), but generating new images from a text prompt is a generative model capability (for example, DALL E through Azure OpenAI/Azure AI Foundry model endpoints), not an Azure Vision feature.
Vision describes what it "sees"; it doesn't synthesize new images from natural language.
* Yes - Azure Document Intelligence in Foundry Tools is designed for intelligent document processing
, including automating extraction of structured fields from financial documents. Microsoft provides prebuilt models for invoices and supports custom extraction for similar document types, which makes it suitable for automating workflows involving invoices and credit-note style documents (field extraction, validation, routing).
問題 #19
HOTSPOT - Select the answer that correctly completes the sentence.
Microsoft 365 Copilot can be used to __________.
答案：
解題說明：
Explanation:
create a Microsoft Word document.
Microsoft 365 Copilot is a productivity-focused AI capability embedded across Microsoft 365 apps such as Word, Excel, PowerPoint, Outlook, and Teams. A core, common use case is drafting and generating documents in Word from prompts and existing context. Therefore, "create a Microsoft Word document" is the best completion.
The other options are not appropriate for Microsoft 365 Copilot's scope. "Monitor network traffic and alerts in real time" is a security/operations function more aligned to security monitoring tools and, in Microsoft's product set, closer to Microsoft Security Copilot or dedicated SIEM/SOAR platforms (for example, Microsoft Sentinel). "Modify administrative permissions for SharePoint files" is an admin/governance action that is intentionally protected by role-based access control and is not something end-user Copilot features are meant to perform as a default capability. "Create a list in Microsoft SharePoint" is closer, because Copilot can assist in generating content and can work within Microsoft 365 collaboration contexts; however, the most universally accurate and directly supported capability among the options is creating/drafting a Word document, which is a primary Copilot scenario in Word.
In short, Microsoft 365 Copilot is designed to help users create, summarize, rewrite, and transform content within Microsoft 365 apps, and document creation in Word is a canonical example of that value.
問題 #20
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AB-731測試引擎: https://www.testpdf.net/AB-731.html