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AWS AI Business Strategist Practice Exams (AIB-C01) - 2026

AWS AI Business Strategist Practice Exams (AIB-C01) - 2026

Practice exams in the style of AWS's new AI exam for business professionals, with every answer option explained
Last updated 10/2026
English

What you'll learn

  • Master the four AIB-C01 exam domains: AI fundamentals, AI strategy and business value, AI governance and responsible AI, and AI transformation
  • Choose the right type of AI solution, traditional or generative, for each business problem
  • Align your AI strategy with business goals and measure the business value of each initiative
  • Apply responsible AI principles, governance, and regulatory compliance to business decisions
  • Assess your organization's AI readiness and scale projects from pilot to enterprise-wide deployment
  • Find out which exam domains you need to improve, using the score by knowledge area at the end of each practice exam

Included in This Course

325 questions
  • Practice Test #1 – Full Exam – AWS Certified AI Business Strategist – Fundamentals (AIB-C01)65 questions
  • Practice Test #2 – Full Exam – AWS Certified AI Business Strategist – Fundamentals (AIB-C01)65 questions
  • Practice Test #3 – Full Exam – AWS Certified AI Business Strategist – Fundamentals (AIB-C01)65 questions
  • Practice Test #4 – Full Exam – AWS Certified AI Business Strategist – Fundamentals (AIB-C01)65 questions
  • Practice Test #5 – Full Exam – AWS Certified AI Business Strategist – Fundamentals (AIB-C01)65 questions

Description

Preparing for the AWS Certified AI Business Strategist (AIB-C01) exam and want to walk in with confidence? These practice exams were built to help you train in the style of AWS's new exam for business professionals and understand the reasoning behind every answer.


I'm Guilherme Benfica, AWS Golden Jacket, with 37 certifications across AWS, Azure, Google Cloud, Oracle, and GitHub. I used that experience to write questions based on real business scenarios, with clear explanations.


What you'll get:

- Timed practice exams in the style of the real exam, with multiple-choice and multiple-response questions

- A detailed explanation of EVERY answer option, including the wrong ones, with a practical example in every question

- Coverage of all four exam domains: AI Fundamentals and Literacy; AI Strategy and Business Value Creation; AI Governance and Responsible AI Leadership; and Business Readiness, Leadership, and AI Transformation

- Scenarios from the daily work of AI leaders: choosing the right type of AI solution, measuring the value of an initiative, applying responsible AI, and scaling a pilot across the company

- Questions written in 2026 based on the official AIB-C01 exam guide

- 5 full-length practice exams with 65 questions each: Configured with a 130-minute time limit to perfectly simulate the pacing of the test.

  • Note on the Beta Phase: The official AWS exam in its beta phase temporarily features 85 questions in 170 minutes. These practice exams maintain the exact same proportional pacing of 2 minutes per question, ensuring your time-management training is perfect for both the Beta and the final post-beta version!

  • Earn the certification by February 15, 2027, and AWS also gives you an Early Adopter digital badge.


How to study with these practice exams:

1. Take the first exam without notes to find your starting point

2. Read every explanation and write down the topics you missed

3. Review those topics in the official exam guide and AWS materials

4. Retake the exams until you score well consistently


No coding or hands-on AWS experience is required.


Not sure about an explanation? Ask in the Q&A section, and I'll answer personally.


This course is not affiliated with AWS and does not contain real exam questions. Start now and take the next step in your AI career!

Who this course is for:

  • Professionals preparing for the AWS Certified AI Business Strategist (AIB-C01) exam
  • Product, program, and business managers, consultants, sales professionals, marketers, and business analysts
  • Leaders who need to evaluate, champion, and scale AI initiatives in their organization or for clients