AWS Certified AI Practitioner — free practice exam
84 original practice questions aligned to official exam domains. Run a timed, domain-weighted quiz in your browser — no login required.
Exam domains
| Domain | Weight |
|---|---|
| Domain 1: Fundamentals of AI and ML | 20% |
| Domain 2: Fundamentals of Generative AI | 24% |
| Domain 3: Applications of Foundation Models | 28% |
| Domain 4: Guidelines for Responsible AI | 14% |
| Domain 5: Security, Compliance, and Governance for AI Solutions | 14% |
Sample practice questions
- What is the MOST appropriate AWS solution to access foundation models from multiple providers through one API?
- What is the MOST appropriate AWS solution to build a conversational assistant that calls APIs and queries data?
- What is the MOST appropriate AWS solution to chunk documents and store vectors for retrieval?
- What is the MOST appropriate AWS solution to connect private documents to a foundation model for Q&A?
- What is the MOST appropriate AWS solution to customize a foundation model with labeled examples for a specific task?
- What is the MOST appropriate AWS solution to detect bias and explain model predictions?
- What is the MOST appropriate AWS solution to encrypt model artifacts and training data at rest?
- What is the MOST appropriate AWS solution to expose a generative AI feature behind a REST API to web clients?
- What is the MOST appropriate AWS solution to invoke models for text generation with on-demand throughput?
- What is the MOST appropriate AWS solution to label raw data for supervised learning at scale?
- What is the MOST appropriate AWS solution to train and deploy custom ML models with managed infrastructure?
- An audit found gaps: the organization must convert text to lifelike speech. Which option addresses this? convert text…
- An audit found gaps: the organization must discover insights and relationships in unstructured text. Which option…
- An audit found gaps: the organization must generate images from text prompts using AWS generative AI. Which option…
- An audit found gaps: the organization must evaluate model outputs for quality before production. Which option…
- An audit found gaps: the organization must document model cards and human review for high-risk AI. Which option…
- An audit found gaps: the organization must track model lineage from dataset to deployment. Which option addresses…
- A company needs to apply organizational policies across AI accounts. Which option meets the requirement with the LEAST…
- A company needs to compare latency and quality across foundation models in a playground. Which option meets the…
- A company needs to encrypt model artifacts and training data at rest. Which option meets the requirement with the…
- A company needs to orchestrate ML pipelines with repeatable steps. Which option meets the requirement with the LEAST…
- A company needs to store prompt templates and versions for teams. Which option meets the requirement with the LEAST…
- A company needs to store and version ML model artifacts. Which option meets the requirement with the LEAST…
- A company needs to understand tokens as billing units for generative models. Which option meets the requirement with…
Browse all 84 indexed questions for this exam.