AWS Certified AI Practitioner (AIF‑C01) Practice Exams
About the AWS AIF-C01 exam
Exam at a glance
AWS's entry-point AI/ML credential at the foundational tier, released October 2024.
Where AIF-C01 sits in the AWS AI track
AIF-C01 is the foundational counterpart to the two Associate-tier AI certifications: MLA-C01 (Machine Learning Engineer – Associate) for hands-on ML engineering with SageMaker, and AIP-C01 (Generative AI Developer – Associate) for building generative-AI apps with Amazon Bedrock. AIF gives you the shared vocabulary and concept base; MLA and AIP are the depth tracks.
Domain weighting
- Fundamentals of AI and ML: ~20%
- Fundamentals of Generative AI: ~24%
- Applications of Foundation Models: ~28%
- Guidelines for Responsible AI: ~14%
- Security, Compliance, and Governance for AI Solutions: ~14%
Core services (concept-level)
- Amazon Bedrock — foundation models, model invocation, model evaluation, Guardrails, Knowledge Bases, Agents.
- Amazon SageMaker — training, inference, JumpStart, Clarify, Model Monitor (high-level only).
- Amazon Q — Q Business (workplace assistant) vs Q Developer (coding assistant).
- Pre-built AI services — Comprehend (NLP), Rekognition (vision), Polly (TTS), Transcribe (STT), Translate, Textract.
- Security & governance — IAM model-access patterns, KMS, CloudWatch, AWS AI Service Cards.
Prerequisites
No formal prerequisites. AWS recommends ~6 months of general AWS familiarity (CLF-C02 level) before attempting AIF-C01. The exam is explicitly aimed at non-builders — business analysts, project managers, technical pre-sales, IT generalists, and developers new to AI — who need a structured overview rather than hands-on ML engineering skills.
Why take this certification
- The fastest way to be conversant in AI on AWS. Released in October 2024 as AWS's response to the generative-AI surge, AIF-C01 is built for professionals who need to talk credibly about Bedrock, foundation models, prompt engineering, and responsible AI without becoming a full-time ML engineer.
- Half the price of an Associate exam. At $100 USD, AIF-C01 is one of the cheapest paths to an AWS credential — and a foundational-tier pass auto-counts as the entry-point on AWS's AI/ML learning track.
- Auto-recertifies when you pass MLA-C01. Earning the AWS Certified Machine Learning Engineer – Associate automatically renews your AIF-C01 for another three years — no need to retake the foundational exam.
- Strong fit for non-engineering roles. Product managers, sales engineers, solution consultants, and customer-success leads working with AWS gen-AI products benefit from the shared vocabulary AIF-C01 enforces — model evaluation, hallucinations, prompt injection, fairness metrics, model cards.
What you'll learn in the AIF-C01 exam
AIF-C01 validates that you can describe — at a working conceptual level — the AI, ML, and generative AI landscape on AWS, choose the right pre-built service for a use case, and apply responsible-AI and security guardrails to AI solutions. The exam is concept-driven, not code-driven: you won't be asked to write a SageMaker training script, but you will be asked when to choose Bedrock over SageMaker JumpStart, or Amazon Q Business over Q Developer.
Core AWS services you'll be tested on
- Foundation-model platform: Amazon Bedrock (model selection across Anthropic Claude, Amazon Nova / Titan, Meta Llama, Mistral, Cohere, AI21; model invocation; Guardrails for content filtering; Knowledge Bases for RAG; Agents for tool use).
- ML platform (high-level): Amazon SageMaker (training, real-time vs batch inference, JumpStart pre-trained models, Clarify for bias detection, Model Monitor for drift).
- AI assistants: Amazon Q Business (workplace knowledge assistant) and Amazon Q Developer (code-completion + chat in the IDE / CLI).
- Pre-built AI services: Comprehend (entity / sentiment / language detection), Rekognition (image + video analysis), Polly (text-to-speech), Transcribe (speech-to-text), Translate (machine translation), Textract (document extraction), Lex (chatbots), Personalize (recommendations).
- Responsible AI tooling: SageMaker Clarify, Bedrock Guardrails, AWS AI Service Cards.
- Security & governance: IAM patterns for model-access control, KMS for data encryption, CloudWatch + CloudTrail for AI workload monitoring, VPC endpoints for Bedrock / SageMaker.
Concepts you'll need to recognize
- The ML lifecycle — training vs inference, supervised vs unsupervised vs reinforcement learning, evaluation metrics (accuracy, precision, recall, F1, RMSE).
- Foundation-model fundamentals — what an LLM is, tokenization, context window, temperature / top-p sampling, embeddings, vector search.
- Prompt engineering basics — zero-shot vs few-shot prompting, chain-of-thought, prompt templates, common failure modes.
- Retrieval-Augmented Generation (RAG) — when to use Knowledge Bases vs fine-tuning vs continued pre-training, cost / quality / latency trade-offs.
- Responsible AI principles — fairness, explainability, transparency, accountability, governance; recognizing bias, hallucinations, and PII leakage risks.
- AI-specific security — prompt injection awareness, model access control via IAM, data privacy when sending data to foundation models, AWS AI Service Cards as a governance artifact.
How the practice exams help
Each free question and every premium exam mirrors the scenario-style format AWS uses for AIF-C01 — a short business or technical situation, four plausible options, one correct (or two-of-five for multi-response). Detailed explanations cover not just why the right answer is right but why the distractors are wrong, so you learn the trade-offs between Bedrock and SageMaker, between Q Business and Q Developer, between Guardrails and Clarify.
How to prepare for the AIF-C01 exam
AIF-C01 is the lightest AWS certification by hands-on requirement, but the breadth of concepts is real. A focused 3-6 week study plan is enough for most candidates with prior AWS exposure:
- AWS Skill Builder learning path (1-2 weeks). Work through AWS's free AWS Certified AI Practitioner learning plan on Skill Builder. It bundles the official AWS AI Practitioner Standard Exam Preparation course plus short modules on every domain — generative AI, foundation models, responsible AI, security.
- Hands-on with Amazon Bedrock (1 week). Spin up the Bedrock console in your own AWS account. Request access to Claude, Nova / Titan, and Llama; invoke each with the same prompt; play with temperature and top-p; build a tiny RAG flow with a Knowledge Base over a PDF. Direct console time is the fastest way to make the exam questions feel concrete.
- Review responsible-AI + security material (1 week). Read the AWS Responsible AI page and skim a couple of AWS AI Service Cards. Re-read the IAM and KMS sections from CLF-C02 study material through an AI-workload lens.
- Practice exams (1 week). Take timed practice tests to identify weak domains — most candidates underestimate the Foundation Models domain (~28%). Aim for consistent 80%+ scores before scheduling the real exam.
Recommended timeline
3-4 weeks of focused study (6-10 hours per week) for professionals with some AWS exposure. Total AI / cloud beginners should allow 5-6 weeks.
Official resources
Download the official AWS AIF-C01 exam guide, enroll in the free AWS Certified AI Practitioner learning plan on Skill Builder, and skim the AWS Responsible AI resources before starting your preparation.
Frequently asked questions
Are these actual exam questions?
No. All Nex Arc AWS AIF-C01 practice questions are original content based on the provider's published exam blueprint, official documentation, and real-world scenarios across every topic the exam covers. We do not offer brain dumps, leaked questions, or actual exam content. Using or distributing real exam questions violates certification provider agreements and can result in certification revocation.
How many questions are in the AWS AIF-C01 exam?
The AWS AIF-C01 exam consists of 65 questions that you need to complete in 90 minutes. 50 questions are scored and contribute to your final result; the remaining 15 are unscored pretest items AWS uses to evaluate new content. You will not be told which questions are unscored. Question formats include multiple choice, multiple response, ordering, matching, and case study.
What's the AIF-C01 passing score?
The passing score is 700 out of 1000. AWS uses a scaled scoring model, and not all questions carry the same weight. Focus on understanding concepts — especially the Generative AI and Foundation Models domains, which together make up more than half of the scored questions.
How do I access the full AIF-C01 practice exam?
Click on the Buy Now button in the sidebar to purchase the complete AWS AIF-C01 course. After payment, you'll have instant access to 12 practice exams with detailed explanations and lifetime access.
What are the prerequisites for the AIF-C01 exam?
There are no formal prerequisites for AIF-C01. AWS recommends that candidates be familiar with — but do not necessarily build — AI/ML solutions on AWS, and have at least six months of general AWS exposure (CLF-C02 Cloud Practitioner-level familiarity). The exam is explicitly aimed at business analysts, project managers, technical pre-sales, IT generalists, and developers new to AI who need a structured overview of AI, ML, and generative AI on AWS. Hands-on ML model-building experience is not required.
How long is the AIF-C01 certification valid?
AWS certifications are valid for three years from the date you pass the exam. To recertify AIF-C01 you can either retake the current version of the exam, or earn the AWS Certified Machine Learning Engineer – Associate (MLA-C01), which automatically recertifies AIF-C01. A 50% discount voucher for the recertification exam is available through your AWS Certification Account. AWS does NOT offer a Skill Builder credits or continuing-education recertification path for AIF-C01 — exam-based recertification is the only option.
What's the exam cost and can I retake it if I fail?
The AIF-C01 exam costs $100 USD globally (converted to local currency) — half the price of an Associate-tier exam, reflecting its Foundational positioning. The exam is delivered through Pearson VUE at testing centers or via online proctoring. If you fail, you must wait 14 days before retaking the exam at full price. There is no limit to the number of attempts, but each attempt requires a new $100 payment. AWS occasionally offers 50% discount vouchers through AWS Partner Network programs or recertification offers.
How does AIF-C01 differ from MLA-C01 and AIP-C01?
AIF-C01 (AI Practitioner) is the Foundational-tier credential — broad, concept-level coverage of AI, ML, and generative AI on AWS, with no hands-on prerequisite. MLA-C01 (Machine Learning Engineer – Associate) is the hands-on ML engineering certification: you build, train, deploy, and operate ML models with SageMaker. AIP-C01 (Generative AI Developer – Associate) focuses specifically on building generative-AI applications with Amazon Bedrock, prompt engineering, RAG, and agent patterns. AIF is the natural starting point; MLA and AIP are parallel Associate-tier specializations on top of it.
What AWS services are most heavily tested on AIF-C01?
Based on the five exam domains, the most frequently tested services are: Amazon Bedrock (foundation models, model invocation, model evaluation, Guardrails, Knowledge Bases), Amazon SageMaker (training, inference, JumpStart, Clarify, Model Monitor — at a conceptual level), Amazon Q (Q Business and Q Developer), and the high-level AI services Amazon Comprehend (NLP), Amazon Rekognition (vision), Amazon Polly (text-to-speech), Amazon Transcribe (speech-to-text), Amazon Translate, and Amazon Textract. IAM, KMS, and CloudWatch appear in the Security and Governance domain. You are expected to know what each service does and when to choose it, not to write code against the APIs.
Can I retake the AIF-C01 exam if I fail?
Yes. AWS allows retakes after a 14-day waiting period. You pay the full $100 exam fee again. There is no limit on total attempts.