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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Exam AB-731: AI Transformation Leader |
| Exam Number: | AB-731 |
| Certificate Validity Period: | 12 months |
| Exam Duration: | 45–65 |
| Exam Price: | $99 USD |
| Real Exam Qty: | 40–60 |
| Passing Score: | 700 |
| Exam Format: | Drag and drop, Multiple choice, Yes/No, Multiple response, Case studies |
| Available Languages: | French, Spanish, English, Japanese, Chinese (Simplified), German |
| Recommended Training: | AB-731T00: AI Transformation Leader |
| Exam Registration: | Microsoft Certification Registration |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience in business transformation, change management, and familiarity with Microsoft 365 and Azure AI services |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-731 |
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NEW QUESTION # 86
Your company is developing an AI-powered customer support agent.
You need to ensure that the solution follows Microsoft responsible AI principles.
Which two actions should you perform? Select the two BEST answers. Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
[B]
Under Microsoft's Responsible AI framework, this testing specifically addresses the principles of Fairness and Inclusiveness. To operationalize these, you should focus on the following testing and development areas:
Key Testing Focus Areas
*-> Cultural Sensitivity: Ensure the agent respects different values, perspectives, and international contexts to avoid causing offense or misunderstanding.
*-> Fairness and Bias Mitigation: Test the agent to ensure it treats all users equitably and does not reinforce societal stereotypes or discriminate based on protected characteristics like race, gender, or religion.
Accessibility: Validate that the agent is usable by people of all abilities, providing equal power and engagement regardless of their background.
Global Community Engagement: Involve diverse users and underserved communities in the pre- deployment validation and feedback process to identify representation gaps.
[E]
To align with Microsoft's Responsible AI principles, providing a clear disclaimer that users are interacting with an AI solution is a core requirement of the Transparency principle.
Under this principle and the Microsoft Responsible AI Standard, developers must ensure that AI systems are understandable and that users are not deceived into believing they are interacting with a human.
Reference:
https://learn.microsoft.com/en-us/legal/ai-code-of-conduct
https://www.microsoft.com/en-us/ai/principles-and-approach
NEW QUESTION # 87
Match the business scenario to the appropriate AI solution design approach. Each solution may be used once, more than once, or not at all.
Answer:
Explanation:
Explanation:
* The marketing department at your company wants AI to summarize emails and create presentations. Answer: Use Microsoft 365 Copilot
* The HR department at your company wants a conversational agent for policy questions and leave requests. Answer: Build with Microsoft Copilot Studio
* The manufacturing department at your company wants AI to predict maintenance schedules. Answer: Build with Azure Machine Learning
* The finance department at your company wants AI-powered access to enterprise resource planning ERP data by using familiar productivity tools. Answer: Extend with Microsoft 365 Copilot connectors These scenarios map to four distinct solution patterns: out-of-the-box productivity assistance, low-code conversational agents, predictive ML, and enterprise data integration.
Marketing's need to summarize emails and create presentations is a core "productivity copilot" use case.
Microsoft 365 Copilot is embedded in Outlook, Word, PowerPoint, and Teams, so it directly supports summarization, drafting, and presentation generation without building a custom solution-making Use Microsoft 365 Copilot the best fit.
HR's requirement is a conversational agent tailored to internal policies and workflows such as leave requests.
That typically needs custom dialog, grounded knowledge sources, and possibly actions/workflows. Microsoft Copilot Studio is designed to build and manage such agents with organizational knowledge and business process integration, so Build with Microsoft Copilot Studio fits best.
Manufacturing's predictive maintenance scheduling is classic predictive analytics: learning patterns from historical telemetry/maintenance data to forecast failures or optimal service windows. This is best addressed with Azure Machine Learning , which supports training, evaluating, and deploying custom predictive models.
Finance wants AI-powered access to ERP data "using familiar productivity tools," which implies bringing external line-of-business data into the Microsoft 365 Copilot experience. That is precisely where Microsoft
365 Copilot connectors help-indexing and exposing enterprise data sources so Copilot can reference them in a governed way-so Extend with Microsoft 365 Copilot connectors is the best approach.
NEW QUESTION # 88
Your company plans to use an AI-powered solution to analyze customer feedback for insights related to future product designs.
You need to mitigate the privacy risks associated with the solution.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: C
Explanation:
An AI-powered solution to analyze customer feedback while mitigating privacy risks requires a
"privacy by design" approach, utilizing automated, AI-driven PII (Personally Identifiable Information) masking to remove sensitive data before it reaches the analysis model. This process ensures compliance with regulations like GDPR and CCPA while maintaining data utility for sentiment and theme analysis.
That is a sound strategy. To effectively mitigate privacy risks while maintaining the utility of your AI analysis, you should implement a robust De-identification or Data Masking layer before the data hits the LLM.
Reference:
https://encompaas.cloud/blog/ai-and-privacy
NEW QUESTION # 89
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: Azure Machine Learning
You use _________ to train a model that will forecast product demand based on historical sales data.
Using Azure Machine Learning to forecast product demand based on historical sales data is best accomplished using Automated Machine Learning (AutoML) for Time-Series Forecasting. This approach allows you to train, evaluate, and deploy a high-quality model, often without writing extensive code, by automatically testing various algorithms and preprocessing data.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-automl-forecasting-methods
NEW QUESTION # 90
Your company plans to build a generative AI solution based on internal data.
You recommend using Microsoft Foundry as a starting point to develop and manage the solution.
What is a key benefit of using Microsoft Foundry for this project?
Answer: A
Explanation:
Microsoft Foundry is an enterprise-grade platform specifically designed to help teams build, deploy, and manage generative AI solutions grounded in their own internal data.
While it is a powerful tool for this purpose, its target audience and complexity are important to distinguish:
*-> Building on Internal Data: The platform excels at this through Foundry IQ and Retrieval- Augmented Generation (RAG). It allows you to securely connect AI models to internal
"knowledge bases"-such as SharePoint, OneLake, or custom databases-so the AI provides responses based specifically on your company's context and data.
Target User: Contrary to being a tool solely for general business users, it is primarily an interoperable platform for developers, data scientists, and IT professionals. It provides deep technical tools like SDKs, CLI, and MLOps pipelines for scaling AI from a prototype to a full production application.
*-> Accessibility for Business Users: While its primary focus is developers, it does include low- code/no-code interfaces and visual "playgrounds". These allow non-technical contributors to experiment with models, test prompts, and participate in the development process without deep coding knowledge.
Reference:
https://www.softwebsolutions.com/resources/what-is-azure-ai-foundry
NEW QUESTION # 91
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