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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Certified: AI Transformation Leader |
| Exam Number: | AB-731 |
| Related Certifications: | Microsoft Certified: AI Transformation Leader |
| Exam Price: | USD 99 |
| Passing Score: | 700 / 1000 |
| Exam Format: | Case studies, Multiple choice, Drag and drop, Build list |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Duration: | 45 minutes |
| 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 |
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NEW QUESTION # 100
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
An AI champions program includes users who advocate for AI by learning, sharing, and identifying use cases. Champions are not primarily the infrastructure team, analytics team, or executive strategy group. Their value is adoption enablement. They help colleagues understand AI tools, share practical usage patterns, collect feedback, and discover department-specific opportunities where AI can improve productivity or decision-making. Strategy and governance are usually handled by leadership, AI councils, legal, risk, compliance, security, and technical stakeholders. Infrastructure is handled by IT and engineering teams. Champions sit closer to end users and help translate the AI strategy into practical daily usage. This makes them critical for scaling proficiency and adoption across the organization.
NEW QUESTION # 101
Which practice best demonstrates operational governance when implementing AI solutions?
Answer: C
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 # 102
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:
Microsoft Foundry is positioned as a unified platform experience for building, optimizing, and governing AI applications and agents. Microsoft explicitly emphasizes "fleetwide security and governance" and the ability to build and manage AI in a unified environment, which directly supports statement 1 being Yes : it is designed to help organizations build and operate generative AI solutions with centralized governance controls (for example, environment setup, data isolation, access control, and operational management).
For statement 2, Foundry supports scaling as demand increases . Microsoft documentation for Foundry- related model usage notes that as usage grows, Foundry can automatically increase quotas by moving users to higher tiers (and allows requesting additional quota). This is a concrete scalability mechanism tied to increased workload demand, so the statement is Yes .
For statement 3, Foundry is not limited to text-only generative AI. Microsoft provides "Azure Vision in Foundry Tools," which delivers computer vision capabilities such as analyzing images, reading text (OCR), and other image-processing features. That means Foundry can be used for image recognition/computer vision workloads, so the statement is Yes .
NEW QUESTION # 103
Which business requirement most closely relates to grounding a generative AI model?
Answer: A
Explanation:
Ensuring that verified company data sources are used for response generation relates to grounding a generative AI model by anchoring its outputs in trusted, domain-specific, or enterprise-specific information. This process bridges the gap between the general knowledge a model has from its training data and the specific, up-to-date facts required for accurate, trustworthy business applications.
Reference:
https://decagon.ai/glossary/what-is-ai-grounding
NEW QUESTION # 104
You are exploring how Microsoft 365 Copilot uses Microsoft Graph to deliver AI-powered experiences.
Which information in Microsoft Graph can Copilot use by default?
Answer: B
NEW QUESTION # 105
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