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AWS · AIB-C01 · Beginner

AWS AI Business Strategist (AIB-C01) — Practice Questions and Mock Exam

Prepare for AIB-C01 with original practice questions and clear answer explanations. Ask Alex, your AI tutor, when you need more detail, use your results to identify topics to review, and practice your pacing with timed mock exams.

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85Mock exam questions

170minTime limit

700/ 1000Passing score

Checked against AWS · September 2026 · Current exam version

Overview

About the exam

AWS Certified AI Business Strategist opens a new column on the AWS certification map — Business certifications, for the people who shape where technology goes rather than the ones who wire it up. AIB-C01 asks whether you can pick the AI work worth doing, put a money case behind it, hold governance around it, and carry it from one pilot to something the company actually runs on. AWS is unusually blunt about the boundary: this exam does not test knowledge of its AI services. Bedrock, SageMaker AI and Quick come up only as what they are for, what they cost and when you would reach for one.

One thing to know before you book: the exam is in beta. A pass earns the full certification, and it is valid for three years like any other — but the beta sitting carries extra questions and extra time compared with the standard version AWS will offer at general availability, and the figures below describe the beta. AWS also runs the beta as a single shot: no retake until the standard exam is live.

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Try five AIB-C01 questions

Try five practice questions from the app’s current AWS Certified AI Business Strategist question bank, with answers and explanations.

AI Governance and Responsible AI Leadership1 / 5

A city transport authority is planning an AI journey assistant and its inclusion lead asks what identifying accessibility requirements involves. Which approach matches the AWS Well-Architected Responsible AI Lens?

AlexFull explanation from Alex

Accessibility enters the Responsible AI Lens during the use case focus area, before design work fixes the interaction model, because retrofitting alternative input and output paths is expensive and often incomplete. The lens asks teams to research cognitive, visual, auditory, speech, sensory and motor needs, and then to check that the parts of an AI system people rely on most, including explanations, confidence indicators and system status, reach users in a form they can actually consume. Treating this as a launch-day statement, narrowing the interface to a single channel, or assuming the platform will compensate all leave identified user groups unable to use the system effectively.

Sourcedocs.aws.amazon.com

Business Readiness, Leadership, and AI Transformation2 / 5

A systems-integration firm wants the centre of excellence carrying its AI practice to make its expertise available to everyone, not just to the teams answering requests for proposals. Which of the tenets that AWS documents for a Cloud Center of Excellence covers helping other internal teams and customers to onboard?

AlexFull explanation from Alex

The tenets give a centre of excellence a defensible remit and a way to measure itself. Research decides which areas to explore and which practices to build. Evangelize spreads knowledge through events, publications and training. Apply turns that into an end-to-end delivery roadmap, and Lead proves the capability through pilots and first wins. Mentor is the one aimed at capability transfer beyond the team itself, and Scale turns what worked into reusable patterns. A centre of excellence that only delivers projects has quietly dropped several of these. Exam tip: match the tenet to the verb in the stem, since onboarding and coaching others map to Mentor while publishing and awareness map to Evangelize.

Sourcedocs.aws.amazon.com

AI Strategy and Business Value Creation3 / 5

A logistics operator is beginning the business goal identification phase for a proposed parcel-routing model. According to the AWS Well-Architected Machine Learning Lens, what should the review start with?

AlexFull explanation from Alex

Business goal identification is the phase where a programme is still allowed to conclude that it does not need a model at all. The lens asks for a clear statement of the problem and of the business value expected, and only then for a judgement on whether machine learning is the right way to get there. Alternatives are compared on the accuracy they would deliver, their cost and how well they scale, which is a business comparison rather than a technical one. Skipping this step is how organisations end up maintaining a model where a rule, a report or a process change would have done the job. It is also the moment to check that enough relevant, high-quality training data actually exists. Exam tip: an option about algorithms, instances or retraining is answering a later phase than the one the question asks about.

Sourcedocs.aws.amazon.com

AI Fundamentals and Literacy4 / 5

A knowledge-management lead wants an assistant to answer from the company handbook, which is revised most weeks. She asks which adaptation to attempt first and how to bring the handbook content in. According to Amazon SageMaker AI documentation on foundation model customisation, what is the recommended reading?

AlexFull explanation from Alex

The customisation ladder exists because each rung costs more and commits more. Prompt engineering changes nothing permanent, can be revised in an afternoon, and resolves a surprising share of quality complaints, which is why it is the recommended first step. Retrieval augmentation is the right rung when the gap is knowledge rather than behaviour, and it fits volatile material particularly well because updating the source updates the answers without touching the model. Fine-tuning changes the weights and therefore produces an artefact that has to be retrained whenever the underlying content moves, which makes it a poor fit for a handbook revised weekly and a reasonable one for consistent tone, format or task behaviour. Naming the gap correctly is what selects the rung.

Sourcedocs.aws.amazon.com

AI Governance and Responsible AI Leadership5 / 5

A utility's security architect has to explain to the executive sponsor why access to the company's foundation model endpoints is being restricted before the assistant goes live. Which statement matches the AWS Well-Architected Generative AI Lens?

AlexFull explanation from Alex

Foundation model endpoints are a new kind of front door, and the data that flows back through them is often more sensitive than the request that opened them. Identity is the layer that holds regardless of where the model is hosted, which is why the lens frames least privilege as protection that applies to any hosting arrangement rather than a substitute for network controls. Sessions and permission boundaries add limits in time and in scope, so a role that legitimately needs access does not carry it indefinitely or beyond its purpose. The lens also puts these boundaries in the organisation's AI policy document rather than in individual project documentation, so they can be reviewed as part of a regular access review and applied consistently across every workload rather than being renegotiated each time.

Sourcedocs.aws.amazon.com

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Question pool

353 practice questions

The Pass-IT question pool gives you material to practice for AIB-C01. A Pass-IT mock exam uses 85 questions and a 170-minute time limit; these are practice settings.

Pool details: AIB-C01

Exam details checked against AWSSeptember 3, 2026

date of the last check against the official AWS source

Passing score700 / 1,000

as published by AWS

Objectives in the guide13 objectives listed in the official guide

across 4 domains in the official exam guide

Pool size353 questions

= The pool size is equivalent to 4 sets of 85 questions; this does not mean that each mock exam uses a separate set.

Blueprint domains4 domains in the exam blueprint

AI Fundamentals and Literacy 86 · AI Strategy and Business Value Creation 88 · AI Governance and Responsible AI Leadership 90 · Business Readiness, Leadership, and AI Transformation 89

Recorded as checked against sources353 of 353

questions recorded as having their answer, options, and explanation checked against official AWS documentation

How questions are made →

Exam domains

What's on the exam

Four content domains, and AWS gives each an exact percentage instead of a range. Strategy and business value creation is the biggest at 28%: picking the corners of the business that would genuinely move, deciding whether to build, license or bring someone in, ranking what gets money and what gets stopped, and — the answer people miss — recognising the cases where no AI at all is the right call. Its second half is proof: fix the yardstick first, then turn saved hours into a figure finance accepts, read the early signals, and keep the bill down.

The other three carry 24% each. Fundamentals and literacy is the shared vocabulary — models, training data, inference, and the line between generative work and the older statistical kind — plus the calls that ride on it: a plain rule instead of a learned one, a tool that acts versus one that answers, and why live accuracy decays. Governance and responsible AI leadership is the defensibility layer: the principles, the moment one of them collides with a target, who decides, who is answerable, which regulations bite, and the register of failures once something is in production. Business readiness, leadership and transformation is the widest by task count; here the subject under examination is the company, not the software — how mature it really is, whether the records exist and anyone owns them, the sponsor and the cross-functional team, the staff nervous about what this means for them, and the climb from a pilot to something depended on.

Exam blueprint: AIB-C01

AI Fundamentals and Literacy24%

The vocabulary a non-engineer needs before the rest of the exam makes sense: what a model is, how one is fitted on past records, what it hands back when asked, and where the line runs between the older statistical craft and the newer generative kind. On top of that sit the judgement calls — whether a plain deterministic rule would serve better than a learned one, what makes a tool that acts on its own different from one that only answers, why a live system loses accuracy over time, and how a company keeps track of which tools its staff may actually use. The generative slice adds writing an instruction that works, living inside a bounded input budget, and the two standard ways of anchoring an answer in the organisation's own material.

≈ 8 h

AI Strategy and Business Value Creation28%

The largest single share, and the part that decides whether a programme ever gets funded twice. Half of it is choosing: which corners of the business would genuinely move, whether to build the thing yourself, license it or bring someone in, which candidates get money now and which get stopped — and, the answer candidates most often miss, when the honest recommendation is to leave the technology out of it altogether. The other half is proof: agreeing what you will count before you switch anything on, so the number you report afterwards means something; turning saved hours and avoided spend into a figure a finance team will accept; reading the early signals that say a project will land; and keeping the running bill under control. It closes on the outward view — what a rival's head start is worth, and where a capability stops being an efficiency and starts being a different business.

≈ 10 h

AI Governance and Responsible AI Leadership24%

What has to be true for a deployment to be defensible. It opens on the principles — fair, explainable, private, safe, open about itself, hard to knock over — and then does the harder thing: names the moment where one of them pulls against a commercial target and asks which side gives. Then the machinery: who sits on the body that decides, what each seat answers for, which laws bite on the process being automated, who may reach the data, and how a proposal gets sorted by how much damage it could do. The last third is the register of what goes wrong once something is live — a confident invention, a skew that creeps in anywhere between collection and release, someone else's protected material coming back out, and the slow rot of the inputs — together with the monitoring and the human veto that keep any of it from reaching a customer.

≈ 8 h

Business Readiness, Leadership, and AI Transformation24%

The widest area by task count, and the one that treats the organisation itself as the thing being changed. It starts with an honest survey: how far along this company actually is, measured against a ladder rather than a hunch, and which of its people, habits, systems and rules fall short of what is being proposed. Underneath sits the material question of whether the records exist at all, whether anybody owns them, and whether two departments can lawfully and practically pool them. Then leadership: a sponsor senior enough to matter, a group drawn from legal and operations as well as engineering, a story told to staff who are quietly worried about their jobs, and a route past the reluctance that shows up as a shrug rather than an objection. Finally the climb from one working pilot to something the whole company depends on — small wins first, a standing group to carry the practice, feedback that keeps arriving, and the unglamorous work of making an experiment survive being relied upon.

≈ 8 h

Format

Exam format and question types

The beta sitting gives you 170 minutes for 85 questions. Two formats only: single-answer items, and multi-answer items where two or more of five or more options are right and you get credit only for picking all of them. AWS lists nothing else for this exam — no ordering, no matching, no case studies, no lab.

Scoring is scaled from 100 to 1,000 and 700 passes, so the cut is not a straight percentage of the items you answer. It is compensatory: you pass on the whole exam, not domain by domain, and the section-level table on your score report is a hint about strengths, not a set of separate hurdles. There is no penalty for guessing and an unanswered question is simply wrong, so leave nothing blank. Beta results are not instant — AWS reports them within five business days, in your Certification Account. Expect the count and the clock to shrink when the standard version of the exam goes live; the exam guide is already written for that shorter form.

Question types: AIB-C01

Multiple Choice70%

Select the single answer that best meets the question’s requirements.

Multiple Response30%

Select multiple answers. Follow the question’s instructions on how many to choose.

See AWS for official question-format information. The shares shown describe the Pass-IT practice pool; they do not establish the proportions on the official exam.

Planning

Preparing for AIB-C01

You book through Pearson VUE and sit it either at a test centre or online under a proctor. AWS currently offers AIB-C01 in English and Japanese. If you are taking an English exam and English is not your first language, you can request an additional 30 minutes once, and it applies to every later booking. The certification lasts three years, including for a beta pass, and you renew it by passing the current version of the same exam using the half-price voucher in your AWS Certification Account. Retakes: none during the beta, and a 14-calendar-day wait between attempts once the standard exam is live.

Preparation and logistics: AIB-C01

Preparation

Illustrative study time20–55 h

illustrative planning range: 20 h with relevant experience to 55 h when starting out; your needs may fall outside this range

LevelBeginner

Recommended backgroundNone. AWS requires no prior certification and no coding or hands-on AWS implementation experience. It recommends a basic familiarity with AI concepts, a strategic-level awareness of what its AI services offer without hands-on use of them, and a baseline of six months spent working with or alongside teams adopting AI.

Taking and maintaining the certification

DeliveryPearson VUE testing center or online proctored exam

Retake policyDuring the beta the exam can be taken only once; a retake has to wait for the generally available version. On the standard exam a failed attempt is followed by a 14-calendar-day wait with no limit on the number of attempts, and a passed exam cannot be retaken for two years.

Certification validity3 years

Valid for three years, including for candidates who pass during the beta. Renewal is by passing the latest version of this exam, which can be booked with the 50% discount voucher in the AWS Certification Account.

Official guideView on provider site

Study notes

Common pitfalls

Topics to review: AIB-C01

01Business judgement, not service knowledge
Answering with the AWS service you would deploy. AWS states the exam does not assess service knowledge; Bedrock, SageMaker AI and Quick appear only at the level of purpose, pricing shape and fit.
02Sometimes the answer is no AI
Forcing a machine-learning solution onto a problem a deterministic rule already solves, or onto one where the data is not there. One task statement exists purely to test that you can say so.
03Baseline before launch
Claiming a benefit you can no longer prove. If nothing was measured before the rollout, the after-number means nothing, and the credited answer is almost always the one that establishes the starting point first.
04Governance is designed in, not bolted on
Treating oversight as a review at the end. Scenarios reward putting accountability, risk classification and human escalation into the plan while it is still a plan.
05Readiness is people and process too
Answering an adoption question with technology alone. Maturity here is assessed across leadership alignment, culture, data and governance, and the gap that blocks a rollout is usually not the infrastructure.
06Pilots do not scale by themselves
Assuming a successful proof of concept becomes production by repetition. The scaling tasks want an explicit path: short wins first, a permanent group that owns the practice, a feedback loop that does not lapse, and the operational grind of turning a trial into something a business can lean on.

Practice with questions and explanations in Pass-IT →

Questions

Frequently asked questions

How long is the AWS Certified AI Business Strategist exam?

The AIB-C01 exam has 85 questions and a 170-minute time limit.

What is the passing score for AWS Certified AI Business Strategist?

The passing score for the AIB-C01 exam is 700 / 1000.

Which pitfalls should I review when preparing for AWS Certified AI Business Strategist?

Topics to review include Business judgement, not service knowledge, Sometimes the answer is no AI, Baseline before launch, Governance is designed in, not bolted on, Readiness is people and process too, Pilots do not scale by themselves. Work through examples to check that you understand the distinctions and can explain your answer.

Do you need AWS experience or coding skills before AIB-C01?

No certification comes before this one, and AWS asks for no coding and no hands-on implementation work. What it does expect is a basic familiarity with AI concepts and a strategic view of what Amazon Bedrock, Amazon SageMaker AI and Amazon Quick are for. It also recommends around six months spent working with or next to teams that are adopting AI.

Which domains does AIB-C01 cover, and how are they weighted?

The exam is built on four domains. AI Strategy and Business Value Creation carries the largest share at 28 percent. AI Fundamentals and Literacy, AI Governance and Responsible AI Leadership, and Business Readiness, Leadership, and AI Transformation each account for 24 percent. None of them is small enough to leave out of your preparation.

Where can you take the AIB-C01 exam?

Two options are open. You can sit it at a Pearson VUE testing center, or take it online under remote proctoring. Choose the setting where you will be least interrupted.

Can you retake AIB-C01 if you fail?

During the beta you get one sitting only. A second attempt has to wait for the generally available version of the exam. On the standard exam, a failed attempt is followed by a wait of 14 calendar days, and there is no cap on how often you come back. Once you pass, the same exam is closed to you for two years.

How long does the AIB-C01 certification stay valid?

Three years, counted the same way for anyone who passes during the beta. To keep it, you pass the current version of the exam again before it lapses. The booking for that renewal sits in your AWS Certification Account.

Which AWS certification pairs well with AIB-C01?

AIF-C01, the AWS Certified AI Practitioner, sits at the same beginner level and approaches AI on AWS from the practitioner side. If you want wider platform vocabulary, CLF-C02, the AWS Certified Cloud Practitioner, is the usual companion. For a step toward the technical side, MLA-C01, the AWS Certified Machine Learning Engineer - Associate, is the intermediate-level neighbour.

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