Frequently asked questions for OCI 2025 Data Science Professional (1Z0-1110-25): prerequisites, difficulty, what to focus on, and study strategy.
You need practical ML instincts: metrics, leakage/overfitting, and deployment reality. Deep theory is less important than lifecycle thinking.
How to evaluate and deploy safely: versioning, access control, monitoring, and rollback.
Choosing answers that are “ML-sounding” but operationally unsafe (no evaluation, no monitoring, no governance).