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OCI Data Science Pro 1Z0-1110-25 | Tests 2026
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OCI Data Science Pro 1Z0-1110-25 | Tests 2026

Prepare with 165 questions on OCI notebooks, ADS, AutoML, model training, deployment, MLOps, and security.
Created byEdu Toledo
Last updated 9/2026
English

What you'll learn

  • Master OCI Data Science concepts tested in the 1Z0-1110-25 certification exam.
  • Build, train, evaluate, deploy, and manage machine-learning models using OCI Data Science projects, notebooks, jobs, and model catalog.
  • Understand data preparation, AutoML, ADS SDK, MLOps, endpoints, security, observability, and responsible lifecycle practices.
  • Use four timed practice tests to identify weak areas and build a focused strategy for passing the Oracle exam.

Included in This Course

165 questions
  • Practice Test 4 — Final Certification Review40 questions
  • Practice Test 3 — MLOps, Deployment, and Security40 questions
  • Practice Test 2 — Models, Notebooks, and Jobs40 questions
  • Practice Test 1 — Data Science Readiness45 questions

Description

Prepare for the Oracle Cloud Infrastructure Data Science Professional 1Z0-1110-25 certification with a focused, practical, and exam-oriented practice-test course.


This training helps you review the services, workflows, design choices, and operational decisions used to prepare data, build models, evaluate results, automate workloads, deploy endpoints, and manage machine-learning solutions on OCI.


WHAT YOU WILL PRACTICE


• OCI Data Science foundations, projects, compartments, policies, and resources

• Notebook sessions, conda environments, storage, networking, and collaboration

• Data exploration, preparation, feature engineering, and the Accelerated Data Science SDK

• Model training, algorithm selection, AutoML, evaluation, and interpretation

• Jobs, pipelines, reproducibility, automation, and scalable processing

• Model catalog, deployments, endpoints, monitoring, security, and MLOps

• Scenario-based questions designed to strengthen exam readiness


HOW THE COURSE IS STRUCTURED


Practice Test 1 — OCI Data Science Foundations and Readiness

A broad diagnostic review of core terminology, projects, notebooks, environments, data access, IAM, and certification foundations.


Practice Test 2 — Data Preparation, ADS, Training, AutoML, and Evaluation

Focused questions on exploration, transformations, feature engineering, model building, metrics, interpretation, and responsible selection.


Practice Test 3 — Jobs, Pipelines, Deployment, Security, and MLOps

Scenario-based practice covering automation, model catalog, endpoints, scaling, policies, networking, observability, lifecycle, and troubleshooting.


Practice Test 4 — Final Certification Review

A mixed final assessment designed to simulate exam pressure, expose remaining weak areas, and confirm readiness before the certification attempt.


WHO THIS COURSE IS FOR


• Candidates preparing for OCI Data Science Professional 1Z0-1110-25

• Data scientists, ML engineers, developers, and cloud architects

• Analysts and consultants building machine-learning solutions on OCI

• Professionals responsible for model deployment and MLOps

• Learners seeking a clear and efficient certification review path


WHY THIS COURSE IS DIFFERENT


You will practice with 165 original exam-style questions distributed across four timed tests. Every question includes an explanation that reinforces why the correct answer fits the scenario and helps you learn from the alternatives.


Use your results to identify weak domains, review each explanation, repeat targeted practice, and return to the final assessment after your scores improve. By the end of this course, you should understand the principal OCI Data Science exam domains and approach the certification exam with greater confidence.

Who this course is for:

  • Oracle certification candidates, data scientists, ML engineers, developers, architects, analysts, and consultants preparing for 1Z0-1110-25.