PMLE Architecting Low-Code ML Solutions Practice Question
A company wants to analyze customer reviews for sentiment (positive, negative, neutral) using a pre-trained model with no training. They have text data stored in BigQuery. Which Google Cloud service should they use?
⚠ Common exam trap
PMLE often tests the distinction between pre-trained APIs and custom training services; candidates may mistakenly choose AutoML NLP thinking it's needed for sentiment, but AutoML requires training data.
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
✓
Natural Language API
The Natural Language API is a pre-trained service that provides sentiment analysis out of the box, requiring no training. It can directly process text data from BigQuery (via integration or export) to classify sentiment as positive, negative, or neutral. This matches the requirement of using a pre-trained model with no 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.
- ✗
Translation API
Why it's wrong here
Translation API converts text between languages; it performs no sentiment classification, so it cannot return positive, negative or neutral labels. It is tempting because it also processes BigQuery text via pre-trained models, and would be correct for translating reviews into another language before analysis.
- ✗
Speech-to-Text API
Why it's wrong here
Speech-to-Text API transcribes audio into written text; it cannot classify written BigQuery reviews by sentiment. It is tempting because it is also a pre-trained, no-training Google API, and would be correct if the customer feedback arrived as call recordings or voicemails needing transcription first.
- ✓
Natural Language API
Why this is correct
The Natural Language API provides pre-trained sentiment analysis, returning positive, negative and neutral scores without any custom training. It integrates directly with BigQuery data, satisfying the requirement for a pre-trained model applied to stored review text.
- ✗
AutoML NLP
Why it's wrong here
AutoML NLP trains a custom model on your labelled dataset, which the scenario excludes by requiring a pre-trained model with no training. AutoML NLP is correct when you have labelled domain data and want a tuned custom classifier.
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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 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.