easyMultiple Choice
PMLE Practice Question: Extract entities (e.g., names, dates) from…
A company needs to extract entities (e.g., names, dates) from customer emails using a pre-trained model. Which service should they use?
⚠ Common exam trap
PMLE often tests the difference between similar AI services — candidates may confuse Natural Language API with Translation or Vision API, but the key is that entity extraction from text is a natural language processing task.
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 designed to extract entities such as names, dates, locations, and other information from text. It provides pre-trained models for entity recognition, sentiment analysis, and syntax analysis, making it the correct choice for extracting entities from customer emails.
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
The Translation API converts text between languages and returns translated strings; it does not identify names, dates or other entity types. It would be correct when localising email content into another language, not when extracting structured entities from it.
- ✓
Natural Language API
Why this is correct
The Natural Language API provides pre-trained entity extraction, recognising people, dates, locations and organisations out of the box. Training a custom model is unnecessary here, so it satisfies the requirement to use a pre-trained model on email text with no labelled data or training effort.
- ✗
Dialogflow
Why it's wrong here
Dialogflow builds conversational agents that map user utterances to intents and fulfilments; it does not perform named-entity extraction over email text. It would be correct for a chatbot handling customer dialogue, not for pulling names and dates from messages.
- ✗
Vision API
Why it's wrong here
Vision API performs optical character recognition and image analysis on pictures, not entity extraction from email text. It is tempting because it handles document and text detection in scanned files, which would be correct if the emails arrived as images needing OCR before natural language processing.
Go deeper
Related to this question
About these practice questions
Courseiva writes every PMLE question from scratch — 775 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 →
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.