AI0-001 Implementing AI Solutions Practice Question
A team is building a document intelligence application that extracts key fields from invoices. They have 10,000 labeled invoices. What is the first step in the AI project lifecycle?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Problem definition – specify which fields to extract and accuracy targets
Problem definition must come first to scope the project, define success criteria, and decide what fields to extract before any data work.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Model selection – choose a pre-trained vision transformer
Why it's wrong here
Model selection should be based on problem requirements and data characteristics, so it comes after problem definition and data understanding.
- ✗
Data preparation – clean and normalize the invoice images
Why it's wrong here
Data preparation assumes the problem is already defined; it should follow problem definition.
- ✓
Problem definition – specify which fields to extract and accuracy targets
Why this is correct
Problem definition sets the scope and goals, ensuring the team works toward a clear objective before any other lifecycle stage.
- ✗
Data acquisition – collect additional invoices from public sources
Why it's wrong here
Acquiring data before defining the problem may lead to collecting irrelevant data; problem definition should guide data needs.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.