AWS Certified AI Practitioner Vocabulary Game
Exam terms with clues and explanations by OpenExamPrep.
About the AWS Certified AI Practitioner Vocabulary Game
A free word game for the AWS Certified AI Practitioner exam. Each round shows a clue for one of 40 exam terms across 5 topics. Recall the term, spell it out, then read a short explanation. Rounds pick a random term, so you can keep playing as long as you like.
How to Play
- 1Read the clue and type a term with the right number of letters (3 to 6). Abbreviations count: type the letters only.
- 2Press Check Answer or Enter. Each letter changes color to show how close you are.
- 3You have 6 tries. Stuck? Need a hint? asks the AI tutor for a nudge without giving the term away.
- 4After the round, read the explanation, ask the AI to explain it, share your result, or press Next.
- ARight letter, right spot
- AIn the term, wrong spot
- ANot in the term
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Topics in the AWS Certified AI Practitioner Vocabulary Game
AI and ML fundamentals
Generative AI fundamentals
Foundation model applications
Responsible AI guidelines
AI security and governance
Sources for these terms (39)
- AWS Certified AI Practitioner (AIF-C01) Exam Guide (Version 1.4) · Source checked 2026-11-01
- What is Amazon Comprehend? — Amazon Comprehend Developer Guide · Source checked 2026-11-01
- What Is Amazon Polly? — Amazon Polly Developer Guide · Source checked 2026-11-01
- What is Amazon Lex V2? — Amazon Lex V2 Developer Guide · Source checked 2026-11-01
- Batch transform for inference with Amazon SageMaker AI — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Process multiple prompts with batch inference — Amazon Bedrock User Guide · Source checked 2026-11-01
- Metrics and validation — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Binary Model Insights — Amazon Machine Learning Developer Guide · Source checked 2026-11-01
- Review metrics for an automated model evaluation job in Amazon Bedrock — Amazon Bedrock User Guide · Source checked 2026-11-01
- Customize your model to improve its performance for your use case — Amazon Bedrock User Guide · Source checked 2026-11-01
- Custom model hyperparameters — Amazon Bedrock User Guide · Source checked 2026-11-01
- Create, store, and share features with Feature Store — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Prompt engineering concepts — Amazon Bedrock User Guide · Source checked 2026-11-01
- What is prompt engineering? — Amazon Bedrock User Guide · Source checked 2026-11-01
- Influence response generation with inference parameters — Amazon Bedrock User Guide · Source checked 2026-11-01
- How Amazon Bedrock knowledge bases work — Amazon Bedrock User Guide · Source checked 2026-11-01
- What is Amazon Kendra? — Amazon Kendra Developer Guide · Source checked 2026-11-01
- Customize a model with fine-tuning in Amazon Bedrock — Amazon Bedrock User Guide · Source checked 2026-11-01
- Inference request parameters and response fields for foundation models — Amazon Bedrock User Guide · Source checked 2026-11-01
- Data and model quality monitoring with Amazon SageMaker Model Monitor — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Detecting drift in production applications — AWS Prescriptive Guidance · Source checked 2026-11-01
- SageMaker JumpStart pretrained models — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Understand options for evaluating large language models with SageMaker Clarify — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Understand the results of your model evaluation job — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases — Amazon Bedrock User Guide · Source checked 2026-11-01
- Automate tasks in your application using AI agents — Amazon Bedrock User Guide · Source checked 2026-11-01
- Using prompt datasets and available evaluation dimensions in model evaluation jobs — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Evaluate the performance of Amazon Bedrock resources — Amazon Bedrock User Guide · Source checked 2026-11-01
- Model Explainability with Amazon SageMaker Clarify — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Amazon SageMaker Model Cards — Amazon SageMaker Developer Guide · Source checked 2026-11-01
- Detect and filter harmful content by using Amazon Bedrock Guardrails — Amazon Bedrock User Guide · Source checked 2026-11-01
- What is IAM? — AWS Identity and Access Management User Guide · Source checked 2026-11-01
- What is Amazon Macie? — Amazon Macie User Guide · Source checked 2026-11-01
- AWS Key Management Service — AWS KMS Developer Guide · Source checked 2026-11-01
- What Is AWS Config? — AWS Config Developer Guide · Source checked 2026-11-01
- What is AWS Audit Manager? — AWS Audit Manager User Guide · Source checked 2026-11-01
- What is AWS Artifact? — AWS Artifact User Guide · Source checked 2026-11-01
- Overview of Amazon Titan models - Amazon Bedrock · Source checked 2026-11-02
- AWS Audit Manager availability change · Source checked 2026-11-02
About the AWS AI Practitioner Exam
The AWS Certified AI Practitioner (AIF-C01) validates foundational understanding of AI, machine learning, generative AI, AWS AI tools, responsible AI, and security/governance concepts for candidates who use but do not necessarily build AI/ML solutions on AWS.
Exam sponsor: Amazon Web Services (AWS) / Pearson VUE. The requirements and fees below concern the certification or admission exam, separate from our free practice resources.
Assessment
65 total questions: 50 scored and 15 unscored; multiple choice, multiple response, ordering, and matching question types.
Time Limit
90 minutes
Passing Score
700 scaled score on a 100-1000 scale
Exam / Certification Fees
$100 USD plus applicable taxes or foreign exchange adjustments
Exam sponsor websiteReported exam pass rate: Not published by AWS. AWS's certification FAQ and the AIF-C01 exam page publish no pass rate (checked 2026-10-22). Exam sponsor website
Fees, eligibility, and exam policies can change. Confirm them with the exam sponsor before applying or paying.
Frequently Asked Questions
Is the AWS AIF-C01 vocabulary game free?
Yes. The game is free to play with no sign-up. Signing in adds AI explanations for any term.
How does the AWS AIF-C01 vocabulary game work?
Each round shows a clue for one of 40 AWS AIF-C01 terms. Guess the term in six tries: green means the right letter in the right spot, yellow means the letter is in the term but in another spot, and gray means it is not in the term. After the round, read the explanation and play the next term.
Where do the AWS AIF-C01 terms come from?
OpenExamPrep researched each term from the Amazon Web Services (AWS) / Pearson VUE content outline and primary sources, listed under Sources on this page. The game is independent study material, not an official exam resource.
What is AWS Certified AI Practitioner?
AWS Certified AI Practitioner (AIF-C01) is a foundational AWS certification for people who want to demonstrate AI, machine learning, generative AI, AWS AI tools, responsible AI, and governance literacy without needing to build or tune ML models.
How many questions are on the AWS AI Practitioner exam?
AWS lists 65 total questions on the certification overview. The exam guide explains that 50 questions affect your score and 15 unscored questions are mixed in and not identified.