AWS Certified AI Business Strategist (AIB-C01) Practice Exam

A pharmaceutical company is reviewing an AI prototype that investigates discrepancies in clinical trial records. Given a discrepancy, the prototype uses one foundation model to choose among approved read-only tools for searching study records and checking laboratory results. It examines each tool's results and decides whether to investigate further or submit an evidence summary to a reviewer. The sequence of checks is not predefined. The prototype cannot modify records, and a person makes the final determination. Which assessment should the company's AI business strategist make?

A logistics company funded an AI pilot to reduce the time employees spend assigning shipments to carriers. Before the next funding review, the company adopts a transportation management system that automates these assignments. Representative testing confirms that the AI pilot provides no additional time savings, service improvements, or other measurable benefits over the new system. The pilot meets its technical, security, and sustainability requirements, but production integration would require significant additional funding. No alternative business use has been identified. The project sponsor argues that the company should proceed because most pilot development costs have already been incurred. What should the investment review board do?

A retail chain is considering purchasing an AI system that assigns employees' weekly shifts. The vendor provides security certifications and test results showing similar average scheduled hours across demographic groups. Store managers expect to accept most schedules without changes. Employee representatives warn that unpredictable schedules could affect childcare arrangements, transportation, and eligibility for benefits. Before committing to the contract and implementation budget, what should the business sponsor require to determine whether adoption is acceptable?

A professional services firm wants to improve consultant productivity and can fund one AI development initiative this quarter. Its teams can configure managed AI applications but have limited experience evaluating model outputs and operating custom models. Leadership approves three investment criteria: strategic contribution (45%), current organizational readiness (35%), and implementation difficulty (20%). Reviewers score each proposal from 1 to 5. Higher scores indicate stronger strategic contribution, greater readiness, and greater implementation difficulty, respectively. The transformation team multiplies each score by its criterion weight and adds the results. A complex custom-model initiative ranks first, narrowly ahead of a managed AI assistant. All proposals meet mandatory legal and security requirements. Before approving funding, leadership asks for a defensible recommendation that preserves its agreed priorities and establishes a development pathway appropriate to current capabilities. What should the transformation lead do?