Oracle Cloud Infrastructure 2025 Data Science and AI Professional

1Z0-1110-25 · ● Active · Professional · Oracle

Exam facts

Vendor source — Oracle Education: 1Z0-1110-25 ↗
Official exam guide — Oracle Exam Syllabus & Prep ↗
Exam objectives — Oracle OCI Data Science Learning Path ↗

About

The Oracle Cloud Infrastructure 2025 Data Science and AI Professional certification (1Z0-1110-25) validates expertise in building and deploying machine learning and AI solutions on Oracle Cloud. This professional-level credential is designed for data scientists, ML engineers, and AI practitioners who architect, implement, and optimize end-to-end data science workflows using OCI's managed services. The exam tests both foundational OCI knowledge and advanced ML lifecycle practices, including AutoML, model deployment, MLOps, and emerging generative AI capabilities. The 2025 version incorporates LangChain, prompt engineering, and OCI's AI Quick Actions as new domains.

Domain context — Data Science / Machine Learning / AI

Vendor-specific expertise in hyperscale cloud-native ML platforms; requires understanding of data pipelines, model training, deployment automation, and enterprise-scale generative AI integration.

Read full deep dive — Oracle Cloud Infrastructure Ecosystem →

Topics covered

The exam blueprint reflects weighted domain coverage as follows:

• OCI Data Science fundamentals (10%) — OCI Data Science overview, tenancy configuration, ADS SDK setup, credential management
• Data Science workspace setup & management (15%) — Workspace provisioning, project organization, notebook sessions, Conda environments, source control integration
• End-to-end ML lifecycle implementation (45%) — Data sourcing and exploration; preparation and feature engineering; visualization; supervised and unsupervised modeling; AutoML; model evaluation and explanation; model deployment; batch and real-time inference
• MLOps practices & automation (20%) — OCI MLOps architecture, job orchestration, model versioning, pipeline automation, autoscaling, monitoring, logging
• Emerging technologies (10%) — Generative AI integration, LangChain deployment, prompt engineering, AI Quick Actions, responsible AI practices

Source: Oracle OCI Data Science 2025 Exam Guide ↗

Common skills at Data Science · Professional

• End-to-end ML project ownership (from requirement to production)
• Statistical modeling and model evaluation techniques
• Feature engineering and data preparation at scale
• Cloud-native ML architecture and deployment patterns
• AutoML framework selection and hyperparameter tuning
• Model monitoring, explainability, and drift detection
• MLOps tooling and CI/CD pipeline design
• Data governance and compliance in ML systems
• Generative AI and LLM integration
• Python and SQL for data science workflows

Recommended courses at Data Science · Professional

Practice exams

Books

Note: As of May 2026, no major publisher (Sybex, Pearson, O'Reilly) has released dedicated study guides for 1Z0-1110-25. Most preparation relies on official Oracle training, Udemy courses, and practice exams.

Typical job titles at Data Science · Professional

Data Scientist (ML focus) · Machine Learning Engineer · AI Engineer · MLOps Engineer · Senior Data Analyst (Advanced) · Cloud Solutions Architect (AI/ML) · Data Engineering Manager

Salary

Salary context: Data scientists with OCI expertise command premiums in enterprise environments. Generative AI specialization adds 40–60% to baseline salaries.

Skills validated

• OCI Data Science service architecture and configuration
• Machine learning lifecycle implementation (data → deployment → monitoring)
• Automated Machine Learning (AutoML) framework selection and tuning
• Model evaluation, explainability, and bias detection
• REST API deployment and batch inference orchestration
• MLOps pipeline design and job orchestration
• LangChain framework integration for GenAI workflows
• OCI monitoring, logging, and model drift detection
• Python SDK (ADS) for automated data science workflows
• Integration of OCI ML services with enterprise data pipelines

Related certifications

• Stacks with: Oracle Cloud Infrastructure 2025 Generative AI Professional (1Z0-1122-25) (cross-platform AI advancement)
• Stacks with: Oracle Cloud Infrastructure 2025 Architect Professional (1Z0-1119-25) (cross-platform ML architecture)
• Prerequisite for: No higher OCI Data Science cert exists; this is the apex credential for DS/ML practitioners
• Replaces: 1Z0-1110-23 (2023 version, retiring May 2026); 1Z0-1110-24 (2024 version)
• Equivalents at this level: AWS Machine Learning Engineer Associate (MLA-C01) · Microsoft Azure Data Scientist Associate (DP-100) · Google Professional ML Engineer
• Vendor overview: Oracle Vendor Overview

Sources

• Oracle Education: 1Z0-1110-25 Official ↗
• Oracle OCI Data Science Learning Path 2025 ↗
• DBExam: 1Z0-1110-25 Exam Syllabus ↗
• Udemy: 1Z0-1110-25 Oracle Cloud Data Science ↗
• Coursera Machine Learning Salary 2026 ↗
• ZipRecruiter Data Science Salary ↗
• Glassdoor Machine Learning Data Scientist ↗
• PayScale ZA Data Scientist ↗
• Glassdoor South Africa Data Scientist ↗
• Mastery Exam Prep: 1Z0-1110-25 Simulator ↗

Last verified: 2026-05-01 Parent ecosystem: Oracle Cloud Infrastructure (OCI) Ecosystem Parent domain: Data Science / Machine Learning / AI Vendor overview: Oracle Vendor Overview