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Generative AI Leader Practice Question: Extract structured data from scanned invoices…
A company needs to extract structured data from scanned invoices (invoice number, date, total amount) using a pre-built AI solution. Which Google Cloud service is MOST appropriate?
⚠ Common exam trap
Generative AI Leader often tests the confusion between general vision/OCR services (Vision AI) and document-specific extraction (Document AI) — candidates must recognize that structured field extraction from invoices requires Document AI's pre-built Invoice Parser, not generic Vision AI.
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
✓
Document AI
Document AI is Google Cloud's purpose-built service for extracting structured data from documents, including scanned invoices, receipts, and forms. It offers pre-built processors like Invoice Parser that use OCR plus specialized ML models to extract fields such as invoice number, date, and total amount with high accuracy, without requiring custom model training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Natural Language AI
Why it's wrong here
Natural Language AI analyses text for entities and sentiment but does not read scanned invoice layouts or return invoice number, date and total as structured fields. It is tempting because it extracts entities from text, and would fit only if invoices were already digitised into plain text.
- ✗
Translation API
Why it's wrong here
Translation API converts text between languages; it performs no field extraction from invoice images. It is tempting because it processes documents, but its actual purpose is localisation of already-extracted text, so it would be correct only when rendering invoice content into another language.
- ✓
Document AI
Why this is correct
Document AI offers pre-built invoice parsers that extract structured fields such as invoice number, date and total amount from scanned documents, requiring no custom model training. Its specialised document understanding satisfies the stem's demand for a pre-built solution targeting scanned invoices.
- ✗
Vision AI
Why it's wrong here
Vision AI performs image labelling, OCR and detection but returns unstructured text, not parsed invoice fields. It is tempting because it processes scanned documents, and would be correct for generic image analysis rather than extracting structured invoice number, date and total.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.