Technical practice
How would you choose the Microsoft tools for an internal AI assistant?
What to coverThe role involves Copilot Studio, Azure AI Studio, Power Platform, SharePoint and Teams. Suggested preparation: explain how the use case, data sources and required actions would shape your choice of tools, without assuming every assistant needs every tool.
How would you design an agent’s instructions and conversation flow?
What to coverThe posting calls for agent instructions, prompts, conversation flows and escalation paths. Suggested preparation: describe how you would define the agent’s scope, handle unclear requests and decide when to escalate rather than answer.
How would you connect an agent to approved enterprise knowledge?
What to coverThe role names SharePoint, Dataverse, SQL, ServiceNow and internal documents as potential approved sources. Suggested preparation: discuss source selection, content quality and how you would verify that answers reflect the right information.
When would a retrieval-augmented generation pattern help?
What to coverFamiliarity with RAG and enterprise search is preferred in the posting. Suggested preparation: explain how retrieval can ground an answer in relevant content, and where poor retrieval or outdated content could still produce a misleading response.
How would you design an agent action and its escalation path?
What to coverThe role includes designing actions and escalation paths for agents. Suggested preparation: distinguish answering a question from taking an action, and explain how you would handle missing information, an unsuccessful action or a request outside the agent’s scope.
How would you evaluate a prototype before a pilot?
What to coverThe posting specifies accuracy, completeness, hallucination risk, usability and business fit as testing concerns. Suggested preparation: outline representative test cases, what you would record for each concern and how the results would inform a pilot decision.
How would you diagnose an agent that gives incomplete or unsupported answers?
What to coverThe role calls for improvement through prompt refinement, knowledge tuning, evaluation frameworks and user feedback. Suggested preparation: explain how you would isolate whether the problem lies in the instructions, retrieved knowledge or the use case, then retest the change.
How would you account for access controls and data privacy?
What to coverAI safety, access controls and data privacy are listed as preferred areas of familiarity. Suggested preparation: discuss how you would check that an agent uses approved sources and does not expose information beyond a user’s permitted access.
How would you move a stakeholder use case from prototype to production readiness?
What to coverThe role involves clarifying requirements, building prototypes, supporting pilots and iterating toward production readiness. Suggested preparation: describe how you would narrow the initial use case, gather pilot feedback and decide what still needs improvement.
What would you preserve when turning a successful prototype into a reusable pattern?
What to coverThe posting calls for templates, starter prompts and build patterns, plus documentation of configuration, sources, limitations, support and adoption guidance. Suggested preparation: explain what another team would need to reuse the approach safely and where customization would remain necessary.
Behavioural practice
Tell me about a time you clarified an ambiguous business request.
What to coverSuggested preparation: use a real situation, your actions with stakeholders and the resulting shared understanding or prototype scope. This is relevant to the role’s responsibility for turning business use cases into practical solutions.
Describe a time user feedback changed a solution you were building.
What to coverSuggested preparation: give the situation, how you collected and weighed feedback, what you changed and the result. The posting emphasizes pilots, user feedback and iteration.
Tell me about a time you raised a quality or safety concern before a release.
What to coverSuggested preparation: describe the issue, how you communicated its impact, the action you took and the outcome. Keep the example grounded in your own experience; the role calls for attention to agent accuracy, hallucination risk and business fit.
Describe a time you worked through uncertainty in a fast-moving project.
What to coverSuggested preparation: explain the situation, how you set priorities or tested assumptions and what resulted. The posting explicitly values problem-solving in ambiguous environments.
Tell me about a time you made a solution easier for others to adopt or support.
What to coverSuggested preparation: give a real situation, the documentation or reusable guidance you created and its result. This connects to the role’s emphasis on reusable patterns, known limitations, support models and adoption guidance.