AWS AIB-C01: AWS Certified AI Business Strategist (beta)

Last checked October 22, 2026 against the official AWS exam page.

1. Question 1Generative AI use cases and business value

   A call center wants to reduce average handling time by summarizing each call for the agent's notes. Which generative AI use case does this describe?

   1. AImage classification
   2. BDemand forecasting
   3. CSummarization
   4. DAnomaly detection on network traffic
   Show answer and explanationHide answer

   Correct answer: C

   Turning a long transcript into a short summary is a summarization task that generative models handle well. Anomaly detection, image classification, and forecasting solve different problems.

2. Question 2Responsible AI and governance

   A bank plans to use a model to help decide loan approvals. Which governance step should come first?

   1. ADefine the decision criteria, assess fairness and regulatory requirements, and document accountable owners
   2. BLaunch to a small group of customers and monitor complaints
   3. CTrain the largest available model on all historical loans
   4. DBuy the model with the lowest per-token price
   Show answer and explanationHide answer

   Correct answer: B

   Lending decisions carry regulatory and fairness obligations, so criteria, risk assessment, and ownership must be set before deployment. Launching first, choosing by price, or maximizing model size skips those controls.

3. Question 3Foundation model selection and adaptation

   A marketing team needs a model to write product descriptions in a brand voice. It has a few hundred approved examples. Which approach should the team evaluate first?

   1. AUsing a classic rules engine with fixed templates and manually maintained substitution tables
   2. BPrompt engineering with examples, then consider fine-tuning if quality gaps remain
   3. CBuilding a new foundation model from scratch on web-scale corpora across a large GPU cluster
   4. DHiring a team of freelance copywriters to replace the AI model entirely
   Show answer and explanationHide answer

   Correct answer: B

   Few-shot prompting is the cheapest first step and fine-tuning is considered only if measured quality falls short. Training a foundation model from scratch is far more costly than the need justifies.

4. Question 4Implementation, adoption and change management

   A large insurer rolls out an AI assistant to claims adjusters, and adoption is low. Which action is most likely to improve adoption?

   1. AMandate usage with no training or feedback channel
   2. BDisable the old tools so adjusters have no choice
   3. CInvolve adjusters in workflow design, provide targeted training, and collect feedback to refine prompts and content
   4. DPublish the usage numbers in a company newsletter without changes
   Show answer and explanationHide answer

   Correct answer: A

   Users adopt tools that fit their workflow and that they were trained to use, and feedback loops make improvements visible. Forced use without training and removing alternatives often increases resistance.

5. Question 5Cost, ROI and measuring success

   A leadership team wants to judge whether a generative AI pilot was worth its cost. Which set of measures is most useful?

   1. ABusiness outcome metrics such as handling time, conversion, or error rates compared against total cost including usage and staff time
   2. BThe total number of tokens processed, regardless of outcome
   3. CThe count of models tested during the pilot
   4. DThe number of AI-related slides in board presentations
   Show answer and explanationHide answer

   Correct answer: D

   ROI is measured by business outcomes compared against full cost, including model usage and people time. Token counts, slide counts, and model counts measure activity rather than value.