PMLE Architecting Low-Code ML Solutions Practice Question
A logistics company wants to classify shipping documents into categories (invoice, packing slip, bill of lading) using a custom model with minimal code. They have labeled training images. Which Google Cloud service is most appropriate?
⚠ Common exam trap
The trap is confusing Document AI with AutoML Vision; candidates might think Document AI can classify documents, but it is primarily for extraction, while AutoML Vision is for custom image classification.
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
✓
AutoML Vision for image classification
AutoML Vision for image classification is designed to train custom image classification models with minimal code using labeled images. It automatically handles data preprocessing, model selection, and hyperparameter tuning, making it ideal for classifying shipping documents from images. The other services are either for tabular data, document extraction, or pre-trained label detection without custom 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.
- ✗
Vertex AI AutoML Tables
Why it's wrong here
AutoML Tables trains on tabular, row-and-column datasets, so labelled document images cannot be ingested as training input. It is tempting because it offers minimal-code custom model training, but that applies to structured CSV data, not the image classification this scenario requires.
- ✓
AutoML Vision for image classification
Why this is correct
AutoML Vision trains a custom image classification model from labelled images through a graphical interface, requiring minimal code. It fits the three document categories and the labelled training images, unlike pre-built Vision API which cannot learn bespoke classes.
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Document AI custom extractor
Why it's wrong here
Document AI custom extractor is built for pulling structured fields (totals, dates, addresses) from documents, not assigning a single class label. It is tempting because it handles shipping paperwork, but classification with labelled images needs AutoML Image Classification, which trains on the provided labels directly.
- ✗
Cloud Vision API with label detection
Why it's wrong here
The pre-trained Cloud Vision API returns generic labels such as "document" or "paper"; it cannot learn the company's invoice, packing slip and bill of lading categories. It is tempting as a no-training, minimal-code option, but custom classification from labelled images requires AutoML Image Classification.
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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 PMLE 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 PMLE exam.