PMLE Scaling Prototypes into ML Models Practice Question
A machine learning team is building a feature engineering pipeline using Dataflow. They need to compute features from streaming data and store them in Vertex AI Feature Store for online serving. The features must be updated within 5 seconds of the event. Which TWO services should they combine? (Select 2)
⚠ Common exam trap
The exam often tests the distinction between general-purpose storage services (Cloud Storage, BigQuery) and the dedicated online feature store (Vertex AI Feature Store) required for real-time ML serving, leading candidates to pick a storage option instead of the correct streaming ingestion (Pub/Sub) and processing (Dataflow) pair.
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
✓
Cloud Dataflow for stream processing and feature computation
Cloud Dataflow is correct because it provides unified stream and batch processing with exactly-once semantics, enabling low-latency feature computation from streaming data. It integrates natively with Vertex AI Feature Store for online serving, ensuring features are updated within the required 5-second SLA.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Cloud Dataflow for stream processing and feature computation
Why this is correct
Dataflow can compute features in near real-time and write to Feature Store.
- ✓
Cloud Pub/Sub for event ingestion
Why this is correct
Pub/Sub provides scalable, low-latency ingestion for streaming events.
- ✗
Cloud Storage for feature store
Why it's wrong here
Cloud Storage is not a feature store; Vertex AI Feature Store is used.
- ✗
Cloud Functions for feature transformation
Why it's wrong here
Cloud Functions is not designed for complex stream processing or windowing.
- ✗
BigQuery for feature storage
Why it's wrong here
BigQuery is not for low-latency online serving; Feature Store is.
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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.