AI Associate AI Fundamentals Practice Question
A company wants to use AI to automatically extract key information (e.g., invoice number, date, total amount) from scanned invoices. Which THREE technologies should be combined?
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
✓
Optical Character Recognition (OCR)
Computer vision reads the document, OCR converts image to text, and NLP extracts entities. Generative AI is not needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Generative AI for text generation
Why it's wrong here
Generates new content; not needed for extraction.
- ✓
Optical Character Recognition (OCR)
Why this is correct
Converts image text into machine-readable text.
- ✗
Sentiment analysis
Why it's wrong here
Analyzes emotion; irrelevant for invoice data extraction.
- ✓
Natural Language Processing (NLP) – entity extraction
Why this is correct
Extracts specific fields like invoice number and date from the text.
- ✓
Computer vision
Why this is correct
Processes the scanned image to identify text regions.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI Associate question from scratch — 753 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
Same concept, more angles
2 more ways this is tested on AI Associate
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company wants to use AI to automatically extract key information (e.g., invoice number, date, total amount) from scanned PDF invoices. Which AI capability should they use?
medium- A.Generative AI for text generation
- B.Predictive analytics
- ✓ C.Computer vision with optical character recognition (OCR)
- D.Sentiment analysis
Why C: Document scanning combined with OCR and NLP entity extraction can parse structured fields from documents. This falls under computer vision (OCR) and NLP.
Variation 2. A company wants to use AI to automatically extract invoice numbers, dates, and totals from scanned invoices. Which AI capability is MOST relevant?
medium- A.Intent detection
- B.Generative AI to create invoices
- C.Sentiment analysis
- ✓ D.Computer vision with entity extraction
Why D: Computer vision can process images of documents, and entity extraction (often part of NLP) identifies specific data points. Sentiment analysis is for emotions, intent detection for purpose, and generative AI for content creation.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.