AI0-001 AI Infrastructure and Technologies Practice Question
A data science team uses Vertex AI for model training and deployment. They want to implement CI/CD for ML pipelines. Which THREE Google Cloud services should they integrate?
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 Pipelines
Vertex AI Pipelines orchestrates ML workflows; Cloud Build automates builds; Cloud Deploy manages deployments. BigQuery is for analytics; GKE is for containers but not CI/CD specific.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Vertex AI Pipelines
Why this is correct
Vertex AI Pipelines is the workflow orchestrator for ML CI/CD.
- ✓
Cloud Deploy
Why this is correct
Cloud Deploy manages rollout of models to production with canary and blue-green strategies.
- ✗
BigQuery
Why it's wrong here
BigQuery is a data warehouse, not a CI/CD service.
- ✓
Cloud Build
Why this is correct
Cloud Build automates building and testing of ML code and containers.
- ✗
Google Kubernetes Engine (GKE)
Why it's wrong here
GKE is a container orchestration platform, not a CI/CD service.
About these practice questions
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.