Browse Oracle Certification Guides

OCI 1Z0-1110-25 Guide: OCI Data Science Professional

OCI 1Z0-1110-25 exam guide covering data prep, notebooks, training, deployment, and lifecycle decisions.

1Z0-1110-25 is a workflow-and-platform judgment exam. Strong answers usually come from recognizing which stage of the data science lifecycle is actually in scope, then choosing the OCI service or operational control that best supports that stage.

Artifact: A stored output from a data science workflow such as a dataset snapshot, model file, or notebook result.

Model deployment: The step where a trained model is exposed so applications or users can send it new inputs and receive predictions.

What this guide emphasizes

  • OCI Data Science workflows from data preparation through model delivery
  • object storage, batch processing, and adjacent service boundaries
  • operational visibility for jobs, models, and supporting infrastructure
  • common exam traps around lifecycle stage, service choice, and responsibility boundaries

What strong answers usually do

  • identify whether the problem is data preparation, training, deployment, or monitoring
  • separate platform responsibilities from model-quality questions
  • choose the simplest service path that satisfies scale, traceability, and repeatability
  • avoid treating every ML problem like a notebook problem or every data problem like a model problem

Use this exam guide in order

  • Build a schedule: Study Plan
  • Review last-mile lifecycle traps: Cheat Sheet
  • Clarify high-confusion data science terms: Glossary
  • Resolve last-week questions: FAQ
  • Check the primary Oracle and OCI sources: Resources

In this section

Revised on Monday, June 15, 2026
1Z0-1109-25
1Z0-1111-25