Microsoft Certified: AI Transformation Leader (beta) Practice Exam 2025: Latest Questions

A retail organization wants to start an AI transformation. Executives disagree on priorities, and different teams propose isolated pilots with no shared goals. What should you create first to align decisions and investments?

A healthcare provider wants to prioritize AI use cases for the next two quarters. The leadership team asks for a simple, repeatable method to compare proposals across departments. What is the best approach?

A company rolls out an AI assistant to customer support agents. After launch, adoption is low because agents do not trust the suggestions and revert to old processes. What should the AI transformation leader do first to improve adoption?

A financial services company wants to ensure that AI solutions are developed and used responsibly across business units. Which governance element is the most important to establish early?

A manufacturing company wants to reduce unplanned downtime using AI. They have equipment sensor data and maintenance logs but limited data science capacity. Which solution pattern is most appropriate to start delivering value quickly?

A company wants to deploy generative AI for internal policy Q&A. Early tests show the model sometimes answers confidently with incorrect information. The company asks how to reduce this risk while keeping answers grounded in official documents. What should you recommend?

A government agency is concerned about bias in an AI model used to triage citizen service requests. They want a practical approach to detect and manage potential unfair outcomes over time. Which set of actions is most appropriate?

A company’s AI portfolio includes several pilots that never reach production. Teams cite unclear handoffs between business owners, data engineering, security, and operations. What change-management action best addresses this problem?

A multinational enterprise wants to scale AI across multiple regions while meeting different regulatory requirements. They need a governance approach that allows local flexibility but maintains consistent standards for Responsible AI. What is the best model?

A company is deciding between (1) automating a high-volume process with modest financial benefit and low risk, and (2) an AI-driven decision support tool for credit approvals with high financial benefit but higher risk and regulatory scrutiny. They can fund only one initiative this quarter. What is the most appropriate recommendation for an AI transformation leader?

A leadership team wants to communicate why the organization is investing in AI and how success will be measured. They need a concise artifact that aligns business outcomes, investment areas, and governance at a high level. What should they create first?

A department is adopting Copilot-like assistance for document drafting. Employees are concerned that AI will replace their jobs, and adoption is low. What is the MOST effective change-management action to take next?

A product team wants to quickly validate whether customer support agents can resolve issues faster with AI-generated draft responses. Which approach best supports an evidence-based decision with minimal upfront investment?

A company wants to prioritize AI initiatives across multiple business units. Leadership requires a consistent, transparent method to compare opportunities and decide funding. Which scoring approach is MOST appropriate?

Your organization is building an internal Q&A assistant over policy documents. The security team requires that only authorized employees can see answers grounded in documents they have permission to access. What is the BEST design principle to enforce this requirement?

An organization has many AI experiments but few reach production. Leaders suspect unclear ownership and weak operational readiness. Which governance action will MOST directly improve productionization outcomes?

A retail company wants to use AI to reduce stockouts. Data exists in ERP, point-of-sale, and supplier systems, but definitions of key fields (like “available inventory”) differ across teams. What should you do FIRST to increase the likelihood of a successful AI solution?

A team deployed an AI assistant to summarize customer calls. Users report that summaries sometimes include details that were never said in the call. The team wants to reduce these errors. Which action is MOST likely to help?

A company plans to use generative AI to draft responses for a regulated customer service process. The compliance team needs an approach that ensures humans remain accountable and that risky outputs are intercepted before being sent. What should the solution include?

An enterprise wants to scale AI across multiple product teams while reducing duplicated effort and inconsistent risk controls. They also want teams to innovate quickly without central bottlenecks. What is the BEST organizational approach?

Your organization wants to prioritize AI initiatives across multiple departments. Leadership asks for a lightweight method to compare proposals consistently and select a small set to fund this quarter. What is the BEST approach?

A call center is deploying an AI assistant to help agents draft responses. During a pilot, agents report they don't trust the suggestions and rarely use them. What should the AI transformation lead do FIRST to improve adoption?

A retail company wants to use generative AI to draft product descriptions. Legal requires that no confidential supplier terms are exposed and that output can be traced to approved sources. Which design choice BEST supports this requirement?

A healthcare organization built an AI model to predict missed appointments. After deployment, prediction quality declines due to changes in patient scheduling behavior. What is the MOST appropriate operational response?

A company is rolling out a generative AI copilot for internal employees. Security requires that employees can only access data permitted by their role and that all prompts and responses are auditable. Which governance pattern BEST meets these requirements?