CHEAT SHEET · AWS AI PRACTITIONER

AWS AI Practitioner Cheat Sheet.
The night-before summary, built like the exam.

Weighted to the current exam outline·15-minute scan
By Vincent Ruan, EA, CFP®Published July 21, 2026
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AWS Certified AI Practitioner — Cheat Sheet

A dense, night-before reference for the Foundational-level AWS Certified AI Practitioner exam. Skim the table, memorize the domain weights, then run the checklist.

Exam Logistics At-a-Glance

ItemValue
LevelFoundational
Format65 questions (50 scored, 15 unscored, unlabeled)
Duration90 minutes
Cost100 USD
Passing score700 on a scaled 100–1,000 range
Scoring modelCompensatory — no per-section minimum
DeliveryPearson VUE testing center or OnVUE online proctored
ResultsWithin 5 business days
Validity3 years, then recertify
Reschedule/cancelUp to 24 hours before, no fee
  • Scheduling happens through Pearson VUE from your AWS Certification Account.
  • Testing centers are independently operated facilities, not run directly by AWS.
  • The 15 unscored questions are mixed in and not identifiable during the exam, so treat every question as if it counts.

Content Domains (Memorize the Weights)

  1. Domain 1 — Fundamentals of AI and ML: 20%
  2. Domain 2 — Fundamentals of Generative AI: 24%
  3. Domain 3 — Applications of Foundation Models: 28% (largest domain — prioritize study time here)
  4. Domain 4 — Guidelines for Responsible AI: 14%
  5. Domain 5 — Security, Compliance, and Governance for AI Solutions: 14%

Five domains total. Domains 3 and 2 together are over half the scored exam — spend your final review hours on foundation model applications and generative AI fundamentals before circling back to the smaller domains.

Key Terms and Concepts to Memorize

  • Foundation model (FM): a large pretrained model adaptable to many downstream tasks via prompting, fine-tuning, or retrieval augmentation.
  • Generative AI vs. traditional ML: traditional ML predicts or classifies from labeled data; generative AI produces new content (text, image, code) from learned patterns.
  • Prompt engineering: structuring inputs (instructions, context, examples) to steer model output without retraining.
  • Fine-tuning vs. RAG: fine-tuning adjusts model weights on a custom dataset; retrieval-augmented generation injects external knowledge at inference time without retraining.
  • Embeddings and vector databases: numeric representations of meaning used for semantic search and RAG retrieval.
  • Bias, fairness, and explainability: core pillars of responsible AI — expect scenario questions about detecting and mitigating biased outputs.
  • Hallucination: a model generating plausible-sounding but factually incorrect content — a recurring exam trap topic.
  • Shared responsibility model: AWS secures the cloud infrastructure; customers secure their data, access configuration, and model usage.
  • Guardrails and content filtering: mechanisms to constrain model outputs for safety and compliance.
  • Model evaluation metrics: know the difference between metrics used for classification/regression tasks versus qualitative evaluation of generative outputs.

Common Gotchas and Traps

  • Don't assume every question is scored — but don't try to guess which ones aren't, since unscored items are indistinguishable during the test.
  • The compensatory scoring model means you can't "fail" a single domain outright, so don't panic over a rough patch of questions — keep moving and let the overall score average out.
  • Watch for questions that test conceptual understanding rather than memorized service names — this is a Foundational exam, so expect "why would you use X" framing over deep configuration detail.
  • Security and governance (Domain 5) questions often overlap with responsible AI (Domain 4) — read carefully to determine whether the question is asking about technical controls or ethical/policy guidelines.
  • Time management: 90 minutes for 65 questions is roughly 83 seconds per question — flag long scenario questions and return to them rather than stalling.
  • Rescheduling within 24 hours of your appointment may incur fees, so lock in logistics early.

Night-Before Checklist

  • Confirm delivery method: testing center address and ID requirements, or OnVUE system check (webcam, room scan, private space) if testing online.
  • Review the domain weight list once more, prioritizing Domain 3 (28%) and Domain 2 (24%).
  • Skim key terms above — hallucination, RAG vs. fine-tuning, shared responsibility model, guardrails.
  • Verify your AWS Certification Account login and exam confirmation details.
  • Get sleep — a Foundational exam rewards clear thinking on scenario-based questions more than raw memorization.
  • Remember the passing bar: 700 out of a 100–1,000 scaled score, compensatory across all domains.
  • Plan arrival or online check-in time with buffer — late arrival can forfeit your slot.

Frequently asked questions

How many questions are on the AWS Certified AI Practitioner exam, and how much time do you get?

The exam has 65 questions delivered in a 90-minute testing window. Only 50 of those questions actually affect your score — the other 15 are unscored items that AWS uses to evaluate future exam content, and you won't be told which are which, so treat every question as if it counts. The timing works out to roughly 80 seconds per question, so if an item stumps you, flag it and move on rather than burning time you'll need later.

What score do you need to pass the AWS AI Practitioner exam?

You need a minimum scaled score of 700 on a scale that runs from 100 to 1,000. The exam uses a compensatory scoring model, which means you only need to pass the exam as a whole — there is no per-domain passing requirement, so a strong performance in one domain can offset a weaker one. Your results are available within five business days after you complete the exam.

Which content domains carry the most weight on the exam?

The exam is organized into 5 content domains. Domain 3, Applications of Foundation Models, is the heaviest at 28% of scored content, followed by Domain 2, Fundamentals of GenAI, at 24%. Domain 1, Fundamentals of AI and ML, accounts for 20%, while Domain 4 (Guidelines for Responsible AI) and Domain 5 (Security, Compliance, and Governance for AI Solutions) are 14% each. Since Domains 2 and 3 together make up over half of your scored content, generative AI and foundation model topics deserve the largest share of your study time.

How much does the AWS AI Practitioner exam cost, and how do I schedule and take it?

The exam costs 100 USD, the standard fee for AWS Foundational-level exams — and AWS Certified AI Practitioner is a Foundational-level certification. You schedule it with Pearson VUE from your AWS Certification Account, and you can take it either in person at a Pearson VUE testing center or through OnVUE online proctoring, which lets you test from any private space such as your home or office. If your plans change, you can cancel or reschedule up to 24 hours before your appointment without additional fees. Once you pass, the certification is valid for 3 years, after which you must recertify.

Sources

  1. 1.AWS Certified AI Practitioner (AIF-C01) Exam GuideAmazon Web Services (AWS) (accessed Jul 18, 2026)
  2. 2.AWS Certified AI Practitioner — Certification OverviewAmazon Web Services (AWS) (accessed Jul 18, 2026)
  3. 3.Schedule an AWS Certification ExamAmazon Web Services (AWS) (accessed Jul 18, 2026)
  4. 4.AWS Training and Certification FAQsAmazon Web Services (AWS) (accessed Jul 18, 2026)