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AWS Certified AI Business Strategist (AIB-C01) practice exam and study path

A free, timed 65-question AIB-C01 practice exam in 99 minutes, scored by domain, with every option explained after you submit. Also 130 practice questions you can check one at a time, a page for every task in the exam guide, and a study path. No sign-up.

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AI Business Strategist exam pack:

$19once

For product, sales and business roles: turning AI into business outcomes, governing it responsibly and leading adoption. No coding.

The exam

Exam code
AIB-C01
Questions
Not yet published
Time
130 minutes
Passing score
700 of 1,000 (scaled)
Exam fee
$100 (USD)
Question types
multiple choice, multiple response
Beta format
85 questions, 170 minutes, $50

AIB-C01 is in beta: 85 multiple-choice and multiple-response questions in 170 minutes for $50, at a Pearson testing center or online. The exam guide sets the standard exam at 130 minutes with a scaled passing score of 700, and the certification page gives the standard price as $100; AWS has not published the standard exam's question count yet. The official practice exam is not available during the beta.

From AWS's certification page and exam guide, checked Oct 10, 2026. The exam is scored as a whole (compensatory): there is no pass mark per domain.

Domains and weights

  • Domain 1: AI Fundamentals and Literacy

    24%

  • Domain 2: AI Strategy and Business Value Creation

    28%

  • Domain 3: AI Governance and Responsible AI Leadership

    24%

  • Domain 4: Business Readiness, Leadership, and AI Transformation

    24%

On our roadmap this comes after Cloud Practitioner or AI Practitioner. See the whole roadmap.

Practice

130 original practice questions, every option explained with the AWS documentation page that proves it. Free, no sign-up; progress stays on this device.

Your results on this device →

More practice exams

The lessons, the sample questions on every task page and the first full practice exam are free and stay free. A pack adds the further timed AIB-C01 practice exams.

AI Business Strategist exam pack

$19once

  • Every paid AIB-C01 practice exam, timed, with every option explained
  • The next version of this exam included when it changes
  • Lifetime access — one payment, no subscription
  • 14-day refund, no conditions
  • 14-day refund, no conditions: ask within 14 days of buying and you get the whole payment back.
  • No pass guarantee. These are practice exams written by us from the exam guide and the AWS documentation; a score here does not predict your result on the real exam.

Study path

One module per exam domain. Lessons that already exist on BytePatterns are linked; the rest are being written.

  1. Module 1: AI Fundamentals and Literacy

    1. 1AI, machine learning and generative AI: how the terms nestTask 1.1

      Partly covered by: What Is Machine Learning, What Is an LLM

    2. 2Training, inference and predictions in business languageTask 1.1

      Partly covered by: Training vs Inference

    3. 3Structured and unstructured data, and why data quality decides the outcomeTask 1.1

      Partly covered by: Data Readiness for AI

    4. 4A shared vocabulary: ISO/IEC 23053 and ISO/IEC 42001Task 1.1

      Lesson coming

    5. 5Rules or AI: when a fixed rule is the better answerTask 1.2

      Partly covered by: What Is Machine Learning

    6. 6AI agents: autonomy, tool use, agent-to-agent communication and orchestrationTask 1.2

      Partly covered by: Agents and Tools, The Tool-Use Loop

    7. 7Why models drift and need monitoring after launchTask 1.2

      Partly covered by: What Is Machine Learning, Evaluating LLMs

    8. 8Approved, blocked, under evaluation: managing shadow AITask 1.2

      Lesson coming

    9. 9Prompt engineering basics for useful outputTask 1.3

      Partly covered by: Temperature and Sampling, Fine-Tuning vs Prompting

    10. 10Tokens and context windows: where long inputs break downTask 1.3

      Lesson: Tokenization, Context Windows

    11. 11Adapting a model: RAG or fine-tuningTask 1.3

      Lesson: Retrieval-Augmented Generation, Fine-Tuning vs Prompting, Vector Databases

  2. Module 2: AI Strategy and Business Value Creation

    1. 12Finding high-impact use cases and mapping them to outcomesTask 2.1

      Lesson coming

    2. 13Build, buy or partner: Amazon Bedrock, Amazon SageMaker AI, Amazon Quick and AWS MarketplaceTask 2.1

      Lesson coming

    3. 14Prioritizing a portfolio: scale, pause or stopTask 2.1

      Partly covered by: Measuring AI Value

    4. 15When AI is not the answer, and moving between AI platformsTask 2.1

      Lesson coming

    5. 16KPIs, baselines and ROI that keep being recalculatedTask 2.2

      Lesson: Measuring AI Value, Evaluating LLMs

    6. 17Leading indicators of AI successTask 2.2

      Partly covered by: Measuring AI Value

    7. 18AI pricing models and cost controls: tokens, instances, seats, Savings Plans, Pricing Calculator and Cost ExplorerTask 2.2

      Partly covered by: AWS Cost Levers

    8. 19AI for competitive advantage and new business modelsTask 2.3

      Lesson coming

    9. 20Sizing AI investment to industry maturityTask 2.3

      Lesson coming

  3. Module 3: AI Governance and Responsible AI Leadership

    1. 21The responsible AI dimensions applied to business decisionsTask 3.1

      Lesson coming

    2. 22Trade-offs and governance by designTask 3.1

      Lesson coming

    3. 23Human oversight, guardrails and escalationTask 3.1

      Partly covered by: Guardrails

    4. 24Governance bodies, accountability and the regulatory pictureTask 3.2

      Lesson coming

    5. 25Access control, data security and the shared responsibility model for AITask 3.2

      Partly covered by: Shared Responsibility & IAM

    6. 26Risk classification across the AI lifecycleTask 3.2

      Lesson coming

    7. 27Production risk controls, bias drift and monitoringTask 3.3

      Partly covered by: Evaluating LLMs, LLM as a Judge

    8. 28Harmful content, intellectual property and hallucinationsTask 3.3

      Partly covered by: Guardrails, Retrieval-Augmented Generation

  4. Module 4: Business Readiness, Leadership, and AI Transformation

    1. 29Readiness dimensions and AI maturity modelsTask 4.1

      Lesson coming

    2. 30Capability gaps and progression pathwaysTask 4.1

      Partly covered by: AI Teams and the Center of Excellence

    3. 31Data readiness, silos, ownership and sharingTask 4.2

      Lesson: Data Readiness for AI

    4. 32Technology foundations for AITask 4.2

      Lesson coming

    5. 33Sponsorship, champions and cross-functional teamsTask 4.3

      Partly covered by: Change Management for AI, AI Teams and the Center of Excellence

    6. 34Communicating about AI and overcoming cultural barriersTask 4.3

      Lesson: Change Management for AI

    7. 35Building AI literacy and redesigning roles around oversightTask 4.3

      Partly covered by: Change Management for AI

    8. 36Envision, experiment, launch, scale: from pilot to enterpriseTask 4.4

      Partly covered by: From Pilot to Production

    9. 37Centers of excellence, feedback loops and production readinessTask 4.4

      Lesson: AI Teams and the Center of Excellence, From Pilot to Production, Measuring AI Value

Every task in the exam guide

The exam guide splits each domain into task statements. Each one has a page with a short summary, the lessons that teach it and open sample questions.

Domain 1: AI Fundamentals and Literacy

Domain 2: AI Strategy and Business Value Creation

Domain 3: AI Governance and Responsible AI Leadership

Domain 4: Business Readiness, Leadership, and AI Transformation

How these questions are made

  • Written by us from the exam guide's task statements and the AWS documentation — never from real exam content.
  • Every option carries its own explanation and a link to the AWS page that proves it.
  • A question enters a timed exam only after an independent check; until then it is a practice question.
  • Results are a plain percentage, per domain too — not an imitation of AWS's scaled score.

Questions about the AIB-C01 practice exam

Is the AIB-C01 practice exam free?
Yes. The full practice exam (65 questions, 99 minutes) is free with no sign-up, and so are the 130 practice questions, the task pages and the study path. Your attempts are saved in this browser, on this device.
How many questions does it have, and is it timed?
65 questions in 99 minutes: the real AIB-C01 pace (85 questions in 130 minutes), scaled to this form. When the time runs out, the exam is submitted as it stands.
Are the answers explained?
After you submit, not during: like the real exam, the timed exam gives no feedback until the end. Then you get your score overall and per exam domain, and every question with each option explained and a link to the AWS documentation page behind it. In practice mode an answer is explained as soon as you check it.
What does the AI Business Strategist exam pack add?
3 more timed practice exams (Practice exam 1: 65 questions, 99 minutes; Practice exam 2: 65 questions, 99 minutes; Practice exam 3: 65 questions, 99 minutes), each scored and explained the same way, and the next version of this exam when it changes. One payment, lifetime access, no subscription. Everything above stays free. See the pack.
Can I get a refund?
Yes, with no conditions: ask within 14 days of buying and you get the whole payment back. The details are in the terms.
Is this an official AWS practice exam?
No. BytePatterns is not affiliated with, endorsed or sponsored by Amazon Web Services. Every question is written by us from the public exam guide and the AWS documentation, never from real exam content, and a score here does not predict your result on the real exam. AWS lists its own preparation resources on its certification page.