easyMultiple Select
PMLE Practice Question: A data analyst wants to build a binary…
A data analyst wants to build a binary classification model using a low-code ML solution on Google Cloud. The dataset is stored in BigQuery and contains 500,000 rows with 20 features, including categorical and numerical columns. The analyst has minimal coding experience and needs to deploy the model as an API endpoint for real-time predictions. Which two Google Cloud services should the analyst use to accomplish this task with minimal code? Choose two options.
⚠ Common exam trap
Google Cloud often tests the distinction between model training services (BigQuery ML, AutoML Tables) and model deployment services (Vertex AI Endpoints), leading candidates to incorrectly select BigQuery ML for real-time API deployment when it only supports batch inference.
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
✓
Vertex AI Endpoints
Vertex AI Endpoints is correct because it provides a managed service to deploy trained models as REST API endpoints for real-time predictions with minimal code. The analyst can deploy an AutoML Tables model directly to a Vertex AI Endpoint, enabling low-code deployment and serving.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
BigQuery ML
Why it's wrong here
BigQuery ML allows creating models using SQL, which may require more coding knowledge than desired. Additionally, deploying models for real-time predictions typically requires extra steps.
- ✓
Vertex AI Endpoints
Why this is correct
Vertex AI Endpoints provides a serverless option to deploy trained models as REST APIs with autoscaling, ideal for real-time predictions without code.
- ✗
Cloud Functions
Why it's wrong here
Cloud Functions can serve predictions but requires writing code to load the model and handle requests, which is not a low-code solution.
- ✗
Vertex AI Workbench
Why it's wrong here
Vertex AI Workbench is a notebook-based environment that requires coding to build and train models, which contradicts the low-code requirement.
- ✓
AutoML Tables
Why this is correct
AutoML Tables is a low-code solution for building classification models directly from BigQuery data, with automatic feature engineering and hyperparameter tuning.
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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.