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PDE Practice Question: Which THREE Google Cloud services are typically…
Which THREE Google Cloud services are typically used together in a production ML pipeline?
⚠ Common exam trap
Watch out — candidates often confuse 'services used in an ML pipeline' with 'services that can be used somewhere in ML' — Cloud Functions and BigQuery are often used in ML workflows (e.g., triggering retraining or storing features), but they are not the three core services that are typically used together in a production ML pipeline for training, storing artifacts, and serving predictions.
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 Storage
Cloud Storage is correct because it serves as the central artifact repository in a production ML pipeline on Google Cloud. It stores training data, model artifacts, and prediction inputs/outputs, enabling seamless integration with Vertex AI Training for model training and Vertex AI Prediction for serving. Without Cloud Storage, there is no durable, scalable, and cost-effective way to manage the large datasets and model binaries required for production ML workflows.
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 Storage
Why this is correct
For storing training data, model artifacts, etc.
- ✗
Cloud Functions
Why it's wrong here
Not a core ML pipeline component.
- ✓
Vertex AI Training
Why this is correct
For model training at scale.
- ✓
Vertex AI Prediction
Why this is correct
For deploying and serving models.
- ✗
BigQuery
Why it's wrong here
Optional; used for analytics but not always in ML pipeline.
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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.