Question 40
Domain 5You have just started working as a junior Data Scientist in a Startup. You are involved in several projects with Python and Tensorflow in Vertex AI. You are starting to get interested in MLOps and are trying to understand the different processes involved. You have prepared a checklist, but inside there is a service that has nothing to do with MLOps. Which one?
Correct answer: D
Explanation
MLOps covers building, training, serving, and automating ML systems, including “data and ML pipeline creation,” “training, retraining, deploying, scheduling, monitoring, and improving models.” A CDN is a content delivery network for web assets, not an ML platform service, so it has nothing to do with MLOps.
Why each option is right or wrong
A. CI/CD
B. Source Control Tools
C. Data Pipelines
D. CDN
Vertex AI MLOps covers the ML lifecycle in Google Cloud—data/ML pipeline creation, training, retraining, deployment, scheduling, monitoring, and improvement—but a CDN is a web delivery service, not an ML platform component. In Google Cloud terms, CDN is part of Cloud CDN for caching and accelerating static/dynamic content at the edge; it has no role in Vertex AI training, serving, or pipeline orchestration, so it is the outlier here.
E. Artifact Registry, Container Registry