OCI-DATA-SCIENCE-PROFESSIONAL: Cloud Infrastructure 2026 Data Science Professional

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Official learning paths, exam details, skills measured, and community resources to supplement your study.

About the OCI-DATA-SCIENCE-PROFESSIONAL Exam

Master the Oracle Cloud Infrastructure (OCI) 2026 Data Science Professional exam (1Z0-1110-26) — building, training, deploying and operating machine-learning models on the OCI Data Science service with the Accelerated Data Science (ADS) SDK, Oracle AutoML, the Model Catalog and Model Deployments, Jobs and ML Pipelines, OCI Generative AI and LangChain, and end-to-end MLOps.

The complete practice exam for the Oracle Cloud Infrastructure 2026 Data Science Professional certification (exam 1Z0-1110-26, the current 2026 version that replaces the retired 1Z0-1110-25). Covers OCI Data Science introduction and configuration (the managed-platform building blocks — Projects, Notebook Sessions, Models and the Model Catalog, Model Deployments, Jobs, ML Pipelines and conda environments; the Accelerated Data Science / ADS SDK; tenancy setup with IAM groups, dynamic groups, policies, resource principals and networking), designing and setting up the data science workspace (notebook session compute shapes and lifecycle, the managed JupyterLab, conda environments and the odsc conda CLI, storing secrets in OCI Vault, and Git Code Repositories), the end-to-end machine-learning lifecycle (fetching data from Object Storage and Autonomous Database, exploring and preparing data with ADS, visualization and profiling, training with scikit-learn, XGBoost, TensorFlow and PyTorch, Oracle AutoML, evaluating with the ADSEvaluator and explaining with the ADSExplainer and Oracle MLX, the Model Catalog and model artifacts with score.py and runtime.yaml, Model Deployments and the predict endpoint, OCI Generative AI and LangChain integration, and AI Quick Actions and Operators), applying MLOps practices (Jobs, scaling and autoscaling, model and deployment monitoring and logging, and ML Pipelines), and using related OCI services (OCI Data Flow managed Spark, OCI Open Data Service, and OCI Data Labeling) — every question a real-world data science scenario with full explanations.

Who Should Take This Exam?

The OCI 2026 Data Science Professional (1Z0-1110-26) is designed for data scientists, machine-learning engineers, and MLOps engineers who build, train, deploy, and operate machine-learning and generative-AI models on Oracle Cloud Infrastructure — using the OCI Data Science service, the Accelerated Data Science (ADS) SDK, Oracle AutoML, the Model Catalog and Model Deployments, Jobs and ML Pipelines, and OCI Generative AI. It validates hands-on, end-to-end ML lifecycle skills, so practical experience with Python, machine learning, and the OCI Data Science service (notebook sessions, the ADS SDK, model deployments) is strongly recommended. It builds naturally on the OCI AI Foundations and OCI Foundations certifications.

Prerequisites: None formal (Oracle recommends Python and machine-learning fundamentals plus hands-on experience with the OCI Data Science service — notebook sessions, the ADS SDK, Model Catalog, Model Deployments, Jobs and Pipelines)

Typical study time: 8-12 weeks of intensive study

Exam Quick Facts

DetailValue
Exam CodeOCI-DATA-SCIENCE-PROFESSIONAL
TitleCloud Infrastructure 2026 Data Science Professional
Duration90 minutes
Questions50
Pass Score68%
Cost$245 USD
ProviderOracle University / Pearson VUE (online proctored or test center)
Validity24 months (subject to Oracle Cloud Recertification policy)
PrerequisitesNone formal (Python and ML fundamentals plus hands-on OCI Data Science experience recommended)
Question TypesMultiple choice, Multiple response
Official PageView on Oracle →

Exam Domains & Weights

The OCI-DATA-SCIENCE-PROFESSIONAL exam covers 5 domains. Focus your study time based on the weights below — higher-weighted domains have more exam questions.

DomainWeightPractice Qs
OCI Data Science - Introduction and Configuration10%25
Design and Set up Data Science Workspace15%38
Implement end-to-end Machine Learning Lifecycle45%112
Apply MLOps Practices20%50
Use related OCI Services10%25
Total100%250

💡 Study tip: Implement end-to-end Machine Learning Lifecycle carries the most weight (45%) — nearly half the exam — so start there and go deep on the ADS SDK, training, AutoML, evaluation/explanation, the Model Catalog, Model Deployments, and OCI Generative AI. Introduction and Configuration and Use related OCI Services are the lightest (10% each), but don’t skip them — exam questions can come from any domain.

Practice Exam — 250 Questions

Prepare for the OCI-DATA-SCIENCE-PROFESSIONAL with our 250-question practice exam covering all 5 exam domains. Every question includes detailed explanations and maps to official exam objectives.

What you get:

  • ✅ Exam simulation mode with timer
  • ✅ Spaced repetition for weak areas
  • ✅ Detailed explanations for every question
  • ✅ Progress tracking across domains
  • ✅ 20 free questions — no account needed

Oracle Certification Path

Start with OCI Foundations, build AI/ML breadth with OCI AI Foundations, then advance to the professional tracks — Data Science, Generative AI, Developer, Security, and Networking.

If you’re studying for the OCI-DATA-SCIENCE-PROFESSIONAL, you might also be interested in these Oracle certifications:

Study Tips

  1. Start with the heaviest domain — the end-to-end ML lifecycle is 45% of the exam, so master it first
  2. Use our practice exam — try the 20 free questions first to gauge your readiness
  3. Review explanations — don’t just check if you got it right; read why each answer is correct
  4. Simulate exam conditions — use the timed exam mode to practice under pressure
  5. Check the official page — official exam details always have the latest objectives
20 Free Questions Practice Exam $9 →