AWS Certified AI Practitioner full analysis: what the $39 report shows
Practice and timed mocks are free, with right or wrong on every answer and your total score.
A real question from the full analysis
This is how each question you miss appears in the report. The question, the right answer, the explanation and the source are real. The answer shown as yours is an example, not anyone's data.
A team wants to group customers into segments based on purchasing behavior, without any predefined segment labels, so they can discover natural groupings in the data. Which technique best fits this goal?
- A Regression
- B Classification
- C Clustering
- D Prompt engineering
Example answer, marked sure: A · Correct answer: C
Clustering is an unsupervised technique that groups data points by similarity without predefined labels, which is exactly what discovering natural customer segments from unlabeled purchase data requires. Regression predicts a continuous numeric value, not a group assignment. Classification assigns data to predefined categories, but this scenario has no predefined segments to classify into. Prompt engineering is a technique for guiding generative AI model outputs and has no role in discovering structure in a tabular purchasing dataset.
Readiness by domain uses the weights of the real exam: Fundamentals of AI and ML 20%, Fundamentals of GenAI 24%, Applications of Foundation Models 28%, Guidelines for Responsible AI 14%, Security, Compliance, and Governance for AI Solutions 14%.
What the full analysis adds
- The right answer to every question, the explanation, and the primary source it comes from.
- Readiness by domain, weighted like the real exam, so you know which domain would sink you.
- Where you were sure and wrong: the answers that would cost you on exam day.
- Time per question by domain, against the exam clock.
- Every question you missed, in one list, with its explanation.
- A study plan that starts with your weakest domain: what it covers, the key concepts, and the official sources to read.