AWS validates a foundational understanding of AI concepts, AWS AI tools and practical business applications of AI. The intended audience includes business analysts, product or project managers, sales and marketing professionals, IT support and technology managers. AWS recommends up to 6 months of exposure to AI and ML technologies on AWS; candidates use but do not necessarily build AI solutions.
6550 scored and 15 unscored questions
90 minofficial duration
700minimum scaled passing score
3 yearsstandard certification validity
Question formats: AWS currently uses multiple-choice, multiple-response, ordering and matching questions. Unscored questions are not identified during the exam, and there is no penalty for guessing.
Prerequisites and recommended knowledge: AWS does not require a prior certification. Candidates should be familiar with core AWS services, the shared responsibility model, IAM and AWS pricing concepts; the role uses but does not necessarily build AI or ML solutions.
Current guide revision: The current public guide is version 1.1, published April 30, 2026. It adds current agentic AI terminology, evaluation concepts and services including Amazon Bedrock AgentCore, Amazon Nova, Amazon Q, Kiro and Strands Agents.
Core AI, ML, deep-learning concepts, use cases and terminology.
Fundamentals of GenAI
24%
GenAI concepts, capabilities, limitations and AWS technologies.
Applications of Foundation Models
28%
FM selection, prompt engineering, customization and evaluation.
Guidelines for Responsible AI
14%
Fairness, transparency, explainability and responsible development.
Security, Compliance, and Governance for AI Solutions
14%
Access, encryption, privacy, compliance and AI governance concepts.
On smaller screens, swipe the table horizontally to review every column.
Technologies and concepts to review
Amazon Bedrock and Bedrock AgentCore, SageMaker AI and SageMaker JumpStart, Amazon Nova, Amazon Q, Amazon Quick, Kiro, Strands Agents, managed AI services, foundation models, prompt engineering, agentic AI, Responsible AI, Guardrails, IAM, Macie, PrivateLink, CloudTrail and CloudWatch.
The official guide is the source of truth and may be revised. Domain weights above total 100% of scored content.
Preparation roadmap
AIF-C01 exam preparation and study plan
Use the official blueprint to organize learning, then use ethical practice exams to identify gaps. Focus on explaining concepts and applying them to new business scenarios—not memorizing isolated answers or searching for unauthorized exam dumps.
Map the official blueprintStart with the five weighted domains and their task statements; Applications of Foundation Models is the largest domain at 28%.
Learn concepts through business use casesConnect AI, ML, GenAI and agentic AI approaches to business value, limitations, risk and appropriate AWS services.
Review foundation-model decisionsPractice model selection, prompting, RAG concepts, customization, evaluation, Responsible AI and security trade-offs.
Use mock exams diagnosticallyReview every explanation, record weak objectives and return to AWS documentation before another timed attempt.
Readiness check: A practice score is useful only when you understand why each option is right or wrong. No mock-test result guarantees an AWS exam outcome.
Try before enrolling
Five free AIF-C01 sample questions with answers
These independently written questions sample one concept from each public exam domain. They are learning examples—not copied, recalled, leaked or live AWS exam questions—and require no sign-up.
0 of 5 answers reviewed
Domain 1 - Fundamentals of AI and ML
Question 1: Choosing an ML approach
A retailer has labeled historical customer records and wants to predict whether each active customer is likely to cancel a subscription. The required output is yes or no. Which approach best fits this use case?
Unsupervised clustering
Supervised binary classification
Generative text summarization
Reinforcement learning
Show answer and explanation
Correct answer: B. Supervised binary classification learns from labeled examples and predicts one of two classes. Clustering finds unlabeled groupings, summarization generates text, and reinforcement learning optimizes actions through rewards.
Learning focus: Supervised learning, classification and matching AI methods to business problems.
Domain 2 - Fundamentals of GenAI
Question 2: Recognizing hallucination
A generative AI assistant confidently states a refund rule that does not exist in the company's policy. Which GenAI limitation does this most directly demonstrate?
Dimensionality reduction
Hallucination
Feature scaling
Class imbalance
Show answer and explanation
Correct answer: B. A hallucination is plausible-sounding but unsupported or incorrect generated content. Grounding, evaluation and appropriate human review can reduce risk, but generated output still requires validation for the use case.
Learning focus: GenAI limitations, factual accuracy and evaluation.
Domain 3 - Applications of Foundation Models
Question 3: Grounding answers in current policies
An internal assistant must answer questions from approved company policies that change every week and should provide source references. Which solution is most appropriate?
Retrieval Augmented Generation using an authorized policy knowledge base
Fine-tune a foundation model after every document change
Use a larger ungrounded model and increase temperature
Store policy titles only in the system prompt
Show answer and explanation
Correct answer: A. RAG retrieves relevant current content and adds it to the prompt, allowing answers to be grounded in authorized sources without retraining the model for every document update. Retrieved information can also support source traceability.
An AI system has high overall accuracy but performs substantially worse for one customer group. What is the most responsible next step before broader use?
Deploy because aggregate accuracy is high
Hide subgroup results to prevent confusion
Evaluate fairness and representative data, document limitations, add appropriate oversight and remediate the disparity
Replace all human review with automated decisions
Show answer and explanation
Correct answer: C. Responsible AI requires examining impacts across relevant groups, not relying only on aggregate performance. Fairness assessment, transparency, appropriate oversight and documented remediation help address the identified risk.
Learning focus: Fairness, transparency, explainability, human oversight and responsible use.
Domain 5 - Security, Compliance, and Governance
Question 5: Protecting a public GenAI application
A public Amazon Bedrock application receives prompts that try to override its instructions and expose confidential information. Which response provides the strongest defense-in-depth approach?
Rely only on the foundation model's default behavior
Use least-privilege data access, encryption, Bedrock Guardrails prompt-attack and sensitive-information controls, logging and regular testing
Place all confidential documents directly in the prompt
Disable monitoring so prompts are not retained
Show answer and explanation
Correct answer: B. Defense in depth combines access control and data protection with application safeguards, monitoring and testing. Bedrock Guardrails can evaluate inputs and responses for configured policies, but it complements rather than replaces IAM, encryption and governance controls.
Learning focus: Shared responsibility, prompt attacks, sensitive data, Guardrails, least privilege and monitoring.
Five sample answers cannot measure full exam readiness. Use them to identify concepts that need deeper study.
Original ethical practice
How these AIF-C01 practice exams support preparation
This independent Udemy-hosted course uses original scenario questions and explanation-led review. It supplements—not replaces—the AWS exam guide, AWS documentation, Skill Builder and hands-on practice.
Build AI and ML vocabularyReview foundational concepts and distinguish common AI approaches.
Understand GenAI use casesConnect foundation models and AWS services to realistic business needs.
Evaluate FM applicationsPractice prompt, customization, evaluation and responsible-use decisions.
Recognize security and governanceApply shared responsibility, access, privacy, compliance and governance concepts.
If the offer is unavailable, check the current coupon page or use the standard Udemy listing at the displayed paid price.
No free or discounted enrollment is guaranteed. Eligibility varies by date, account, country and remaining redemptions.
Reader questions
AIF-C01 practice exam FAQs
Who is AIF-C01 designed for?
Business analysts, product or project managers, sales and marketing professionals, IT support and technology managers. AWS recommends up to 6 months of exposure to AI and ML technologies on AWS; candidates use but do not necessarily build AI solutions.
How many questions and how much time?
AWS currently lists 65 questions and 90 minutes.
What is the passing score?
The official guide reports a minimum scaled score of 700 out of 1,000.
Do I need coding experience for AIF-C01?
No. The target candidate uses but does not necessarily build AI or ML solutions. Developing models, building pipelines and implementing governance frameworks are outside the target job role.
Is AIF-C01 the same as AIP-C01?
No. AIF-C01 is the foundational AWS Certified AI Practitioner exam. AIP-C01 is the professional-level AWS Certified Generative AI Developer exam for people building and operating production GenAI solutions.
Which question formats appear on AIF-C01?
AWS lists multiple-choice, multiple-response, ordering and matching questions. The exam has 50 scored and 15 unscored questions, and the unscored questions are not identified.
What changed in the current AIF-C01 exam guide?
Version 1.1 adds agentic AI concepts, LLM-as-a-judge, expanded explainability and security topics, and in-scope services such as Bedrock AgentCore, Amazon Nova, Amazon Q, Kiro and Strands Agents.
What should I study for AIF-C01?
Study AI and ML fundamentals, GenAI, foundation-model applications, Responsible AI, and security, compliance and governance. Use the current AWS exam guide as the source of truth.
Are these real exam questions or dumps?
No. CertShield provides original independent practice content, not leaked, copied, recalled or unauthorized exam material.
Does a practice score guarantee certification success?
No. Use scores to identify gaps; they cannot predict your exact AWS exam result.
What if the free coupon expires?
Check the current coupon page. If no free allocation is available, use the standard Udemy listing only if the course still fits your needs.