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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Certified: AI Transformation Leader |
| Exam Number: | AB-731 |
| Certificate Validity Period: | 1 year (renewable) |
| Exam Format: | Case studies, Build list, Drag and drop, Multiple choice |
| Related Certifications: | Microsoft Certified: AI Transformation Leader |
| Available Languages: | English |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 99 |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 45 minutes |
| 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 # 30
An organization is exploring artificial intelligence solutions to automate content creation tasks such as drafting emails, generating marketing visuals, and producing software code suggestions.
Leadership wants to understand the core technology capability that enables these use cases.
Which of the following best describes generative AI?
Answer: B
Explanation:
A technology that creates new content such as text, images, or code based on learned patterns is correct because generative AI systems learn from large datasets and produce original outputs such as written content, visuals, audio, video, or code using models like large language models and diffusion models.
Reference:
https://learn.microsoft.com/en-us/training/modules/understand-foundations-generative-ai- business-leaders/1-introduction
NEW QUESTION # 31
- Select the answer that correctly completes the sentence.
When you use Microsoft 365 Copilot connectors to connect external content to __________, your users can find, summarize, and learn from line-of-business (LOB) data by using natural language prompts.
Answer:
Explanation:
Explanation:
Microsoft Graph
Microsoft 365 Copilot connectors (built on Microsoft Graph connectors) are used to bring external, line-of- business content into the Microsoft 365 ecosystem by ingesting it into Microsoft Graph . Once connected, the content can be indexed and made discoverable through Microsoft Search and available for Copilot experiences, enabling users to use natural language prompts to find and summarize relevant LOB information-subject to permissions and governance controls.
The other choices don't match how Copilot connectors are positioned. Azure AI Search is an Azure indexing
/retrieval service used in custom RAG solutions, but Microsoft 365 Copilot connectors are specifically designed to surface external content through Microsoft 365 experiences via Graph. Microsoft Purview focuses on data governance, compliance, and risk management rather than being the primary ingestion target for Copilot connector content. SharePoint can store content, but the connector model is about indexing external systems into Microsoft Graph so the content becomes searchable and usable across Microsoft 365, not merely placing it into SharePoint as the destination.
So the correct completion is Microsoft Graph because that is the foundational data and indexing fabric Copilot uses to reason over organizational content with appropriate permission trimming.
NEW QUESTION # 32
Hotspot Question
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:
Box 1: Yes
Yes - Microsoft 365 Copilot can amplify existing data governance challenges.
Microsoft 365 Copilot significantly amplifies existing data governance, security, and compliance challenges within organizations, primarily because it operates by accessing data based on a user's existing permissions. If an organization has weak data hygiene or "permission sprawl"- where employees have access to more information than necessary-Copilot can instantly surface sensitive, confidential, or obsolete data, making oversharing a critical, high-speed risk.
Box 2: Yes
Yes - Implementing Microsoft 365 Copilot reduces data management costs.
Implementing Microsoft 365 Copilot can significantly reduce data management and operational costs by streamlining workflows, automating routine tasks, and improving data hygiene.
Organizations, such as Kantar, have used it to reduce storage costs by identifying and archiving inactive data while enhancing the relevance of information Copilot accesses.
Box 3: Yes
Yes - Microsoft 365 Copilot can help IT teams manage data risks.
Microsoft 365 Copilot includes built-in security, privacy, and compliance capabilities that empower IT teams to manage data risks, particularly by enforcing existing data access policies and integrating with Microsoft Purview. It ensures that Copilot only accesses data that a user is authorized to view based on their existing Microsoft 365 permissions, thereby preventing unauthorized data exposure.
Reference:
https://securiti.ai/copilot-governance-best-practices
https://techcommunity.microsoft.com/blog/microsoft_365blog/kantar-reduces-storage-costs-with- microsoft-365-archive/4494597
https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-ai-security
NEW QUESTION # 33
- Select the answer that correctly completes the sentence.
Using high-quality grounding data in a generative AI solution __________.
Answer:
Explanation:
Explanation:
improves the accuracy and reliability of the predictions and outputs of AI.
High-quality grounding data improves a generative AI solution by anchoring responses to trusted, relevant, and up-to-date information , which increases the likelihood that outputs are accurate, consistent, and aligned with the organization's expectations. This is why the best completion is " improves the accuracy and reliability of the predictions and outputs of AI ." When the model is given authoritative context (for example, approved policy text, product specifications, knowledge base articles, or controlled enterprise content), it has less need to "guess" based on general patterns in its training data. That reduces hallucinations and improves response relevance to the user's question and the business domain.
It does not "ensure that all responses are factually accurate" because grounding reduces errors but cannot eliminate them completely-retrieval can return incomplete or irrelevant passages, user prompts can be ambiguous, and the model can still misinterpret context. It also does not inherently "increase performance of an AI model" in the sense of speed/throughput or model capability; grounding is an architecture and data strategy that improves output quality, not compute efficiency. Finally, grounding is not about "increasing storage required to host an AI model." While you may store documents in an index or repository, the core benefit is improved response quality through better context, not larger model hosting requirements.
NEW QUESTION # 34
Which business requirement most closely relates to grounding a generative AI model?
Answer: B
NEW QUESTION # 35
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