This PDE practice question tests your understanding of operationalizing machine learning models. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company needs to deploy a trained model for real-time predictions with low latency. Which Vertex AI resource should they use?
Cloud TPU
Why wrong: TPUs are for training, not serving.
Vertex AI Batch Prediction
Why wrong: Batch prediction is for offline batch processing, not real-time.
Vertex AI Endpoints
Endpoints provide real-time model serving with low latency.
Cloud Run
Why wrong: Cloud Run is a generic compute platform, not optimized for ML model serving.
Answer choices
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 are designed for online prediction, providing a managed service that hosts models for real-time inference with low latency. They automatically scale resources and handle traffic routing, making them the correct choice for deploying a trained model that needs to respond to individual prediction requests quickly.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Cloud TPU
Why it's wrong here
TPUs are for training, not serving.
Vertex AI Batch Prediction
Why it's wrong here
Batch prediction is for offline batch processing, not real-time.
Vertex AI Endpoints
Why this is correct
Endpoints provide real-time model serving with low latency.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Run
Why it's wrong here
Cloud Run is a generic compute platform, not optimized for ML model serving.
Common exam traps
Google Cloud often tests the distinction between batch and online prediction, and the trap here is that candidates confuse Vertex AI Batch Prediction (which is for offline, large-scale inference) with the real-time serving capability of Vertex AI Endpoints, leading them to select option B.
Detailed technical explanation
Vertex AI Endpoints use a gRPC or REST API to serve predictions, with automatic scaling based on request load and support for model versions and traffic splitting for A/B testing. Under the hood, the endpoint routes requests to a prediction container that runs the model, and it can be configured with a minimum number of nodes to ensure low latency even during cold starts. In a real-world scenario, a fraud detection system requiring sub-100ms response times would use Vertex AI Endpoints with a GPU accelerator to meet the latency SLA.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Operationalizing machine learning models — study guide chapter
Learn the concepts, then practise the questions
Operationalizing machine learning models practice questions
Targeted practice on this topic area only
All PDE questions
499 questions across all exam domains
Google Professional Data Engineer study guide
Full concept coverage aligned to exam objectives
PDE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise PDE questions linked to Designing data processing systems.
Practise PDE questions linked to Building and operationalizing data processing systems.
Practise PDE questions linked to Operationalizing machine learning models.
Practise PDE questions linked to Ensuring solution quality.
Practise PDE questions linked to PDE fundamentals.
Practise PDE questions linked to PDE scenario.
Practise PDE questions linked to PDE troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Operationalizing machine learning models — This question tests Operationalizing machine learning models — Read the scenario before looking for a memorised answer..
The correct answer is: Vertex AI Endpoints — Vertex AI Endpoints are designed for online prediction, providing a managed service that hosts models for real-time inference with low latency. They automatically scale resources and handle traffic routing, making them the correct choice for deploying a trained model that needs to respond to individual prediction requests quickly.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
Last reviewed: Jun 30, 2026
This PDE 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 PDE exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.