AB-731 Exam Prep — Lesson 2: Use-Case Selection, Implementation Strategy, and Adoption Planning

Topics Covered

• Evaluate Microsoft AI application capabilities against user and organizational requirements
• Describe implementation stages from discovery and prioritization to pilot and rollout
• Plan stakeholder alignment, readiness, communication, and adoption responsibilities
• Step-by-step implementation workflow and configuration decisions
• Hands-on verification of core features, data, and expected results
• Documentation of assumptions, dependencies, naming, and change controls

Guided Practice Steps

1. Translate the lesson requirement into a clear AB-731 Exam Prep implementation or analysis objective.
2. Document assumptions, selected tools or features, dependencies, risks, and expected results.
3. Perform the guided task, capture evidence, and compare the result with the acceptance criteria.
4. Record issues, corrective actions, and a reusable operational or development note.

Practical Activity

Build a concise pilot-and-adoption plan for a selected generative AI use case.

• Define the scenario, inputs, constraints, and expected outcome.
• Complete the activity and preserve screenshots, outputs, logs, code, or decision evidence.
• Review the result, identify gaps, and document corrective or improvement actions.

Validation Checklist

• The stated requirement and expected outcome are clear.
• Configuration, code, data, or design decisions are documented.
• Normal, boundary, failure, security, and operational considerations are reviewed.
• Evidence supports the conclusion and the next action is prioritized.

Lesson Outcome

Learners can explain and apply Use-Case Selection, Implementation Strategy, and Adoption Planning within a realistic AB-731 Exam Prep scenario and support the result with validation evidence.