easyMultiple Choice
PMLE Classify support ticket text into categories Practice Question
A company wants to classify support ticket text into categories. They have labeled historical tickets. Which Google Cloud service allows them to train a custom classification model with no code?
⚠ Common exam trap
Test-takers frequently confuse the pre-trained Cloud Natural Language API (which requires no training but cannot be customized) with AutoML Natural Language (which requires labeled data but allows custom categories), leading them to select Option C incorrectly.
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 Natural Language
AutoML Natural Language (now part of Vertex AI) is the correct service because it enables users to train custom text classification models using labeled data without writing any code. It provides a no-code interface for uploading datasets, training models, and evaluating performance, making it ideal for classifying support ticket text into custom categories.
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 Matching Engine
Why it's wrong here
Matching Engine performs vector similarity search and retrieval over embeddings, not supervised text classification training. AutoML Natural Language is the no-code option for building a custom classifier from labelled tickets; Matching Engine suits recommendation or semantic search scenarios.
- ✓
AutoML Natural Language
Why this is correct
AutoML Natural Language trains a custom text classification model from your labelled tickets through a point-and-click interface, requiring no coding. It satisfies the stem's no-code constraint directly, unlike Vertex AI custom training, which demands writing training code and containerising the model yourself.
- ✗
Cloud Natural Language API
Why it's wrong here
Natural Language API offers pre-trained sentiment, entity and classification models, but cannot train on your labelled tickets. Custom no-code training on labelled text is AutoML Natural Language's function; the API only classifies into its fixed predefined categories.
- ✗
Document AI
Why it's wrong here
Document AI extracts and parses structured data from documents such as invoices and forms, not free-text ticket categorisation. AutoML Natural Language is the no-code service for training a custom text classifier on labelled examples like these support tickets.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.