Oracle Cloud Infrastructure 2025 Data Science Professional Study Guide 2025: Updated Prep Materials
Get ready for the Oracle Cloud Infrastructure 2025 Data Science Professional certification with our comprehensive 2025 study guide. Updated with the latest exam objectives, study strategies, and expert tips to help you pass on your first attempt.
Exam Quick Facts
Why This 2025 Guide?
Prepared with the latest exam objectives and proven study strategies
2025 Updated
Reflects the latest exam objectives and content updates for 2025
Exam Aligned
Covers all current exam domains with accurate weightings
Proven Strategies
Time-tested study techniques from successful candidates
Fast Track Path
Efficient study plan to pass on your first attempt
Complete Study Materials
Comprehensive 2025 study guide for Oracle Cloud Infrastructure 2025 Data Science Professional
Complete Study Guide for Oracle Cloud Infrastructure 2025 Data Science Professional
The Oracle Cloud Infrastructure 2025 Data Science Professional certification (1Z0-1110-25) validates your expertise in using OCI Data Science services, developing and deploying machine learning models, and implementing MLOps practices. This professional-level certification demonstrates your ability to architect and implement end-to-end data science solutions on Oracle Cloud Infrastructure.
Who Should Take This Exam
- Data Scientists working with Oracle Cloud Infrastructure
- Machine Learning Engineers implementing ML solutions on OCI
- Cloud Architects focusing on data science and AI workloads
- ML Engineers responsible for model deployment and operations
- Data Engineers working on MLOps pipelines
Prerequisites
- Strong understanding of machine learning concepts and algorithms
- Experience with Python programming and ML libraries (scikit-learn, TensorFlow, PyTorch)
- Familiarity with Oracle Cloud Infrastructure fundamentals
- Knowledge of data engineering and ETL processes
- Understanding of model deployment and MLOps practices
- Hands-on experience with Jupyter notebooks and data science workflows
Official Resources
Oracle Cloud Infrastructure Certification Homepage
Main certification portal with exam information and registration
View ResourceOracle Cloud Infrastructure Documentation
Complete OCI documentation covering all services
View ResourceOCI Data Science Service Documentation
Official documentation for OCI Data Science service, covering all features and capabilities
View ResourceOracle Learning Library - Data Science
Free tutorials and hands-on labs for Oracle technologies
View ResourceOCI Architecture Center - Data Science
Reference architectures and best practices for data science on OCI
View ResourceOracle MyLearn Platform
Oracle's official learning platform with courses, paths, and certifications
View ResourceRecommended Courses
Recommended Books
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
by Aurélien Géron
Comprehensive guide to machine learning with practical examples and implementation details
View on AmazonDesigning Machine Learning Systems
by Chip Huyen
End-to-end guide to building production ML systems with MLOps best practices
View on AmazonMachine Learning Engineering
by Andriy Burkov
Practical guide to deploying and maintaining ML models in production
View on AmazonFeature Engineering for Machine Learning
by Alice Zheng and Amanda Casari
Deep dive into feature engineering techniques and best practices
View on AmazonPractical MLOps
by Noah Gift and Alfredo Deza
Comprehensive guide to operationalizing machine learning systems
View on AmazonPractice & Hands-On Resources
Oracle Cloud Free Tier
Free OCI account with Always Free services including Data Science notebook sessions for hands-on practice
View ResourceOCI Data Science Examples and Tutorials
GitHub repository with example notebooks and tutorials for OCI Data Science
View ResourceOracle Learning Library - Hands-on Labs
Free interactive labs covering OCI Data Science features and workflows
View ResourceKaggle Datasets and Competitions
Practice ML model development with real-world datasets
View ResourceOracle MyLearn Practice Exams
Official practice tests available through Oracle's learning platform
View ResourceOCI SDK for Python Examples
Code examples demonstrating OCI service integration with Python
View ResourceCommunity & Forums
Oracle Cloud Infrastructure Community Forum
Official Oracle community for OCI discussions, questions, and knowledge sharing
Join CommunityReddit - r/oraclecloud
Community discussions about Oracle Cloud services, certifications, and best practices
Join CommunityReddit - r/MachineLearning
General ML discussions, research papers, and implementation strategies
Join CommunityOracle Developers Blog
Technical articles, tutorials, and best practices from Oracle developers
Join CommunityMedium - Oracle Developers Publication
Community articles and tutorials about Oracle technologies
Join CommunityStack Overflow - Oracle Cloud Tag
Technical Q&A for Oracle Cloud development and troubleshooting
Join CommunityLinkedIn Oracle Cloud Community
Professional networking and discussions about Oracle Cloud certifications
Join CommunityStudy Tips
Hands-on Practice is Critical
- Create an OCI Free Tier account immediately and use it throughout your study
- Build at least 5-10 complete ML projects from data ingestion to deployment
- Practice every feature of the Data Science service, not just reading about them
- Create notebook sessions with different compute shapes to understand configurations
- Deploy multiple models and test them via REST APIs
Master the ADS SDK
- The Accelerated Data Science SDK is central to OCI Data Science - know it thoroughly
- Practice all ADS functions: model saving, loading, evaluation, and explanation
- Understand how ADS integrates with the Model Catalog
- Learn ADS methods for data loading from Object Storage and databases
- Familiarize yourself with ADS AutoML capabilities and configurations
Understand Service Integration
- Learn how Data Science integrates with Object Storage, ADW, and other OCI services
- Practice creating end-to-end pipelines using multiple services
- Understand IAM policies required for Data Science service access
- Know how to configure VCN and networking for Data Science projects
- Practice integrating with OCI Functions and API Gateway for model serving
Focus on MLOps and Production Patterns
- Understand the complete model lifecycle from development to retirement
- Practice creating automated training and deployment pipelines
- Learn model monitoring, logging, and alerting strategies
- Know different deployment patterns (batch vs real-time, A/B testing)
- Understand when to retrain models and how to automate it
Study Model Development Thoroughly
- Don't just memorize algorithms - understand when to use each one
- Practice feature engineering techniques on real datasets
- Know various evaluation metrics and which to use for different problems
- Understand hyperparameter tuning strategies and their trade-offs
- Learn model explainability methods and how to implement them in OCI
Documentation is Your Friend
- Bookmark all relevant OCI documentation pages for quick reference
- Read through the entire Data Science service documentation at least twice
- Review API references for common operations
- Study architecture diagrams and reference architectures
- Keep release notes and new features documentation handy
Time Management During Study
- Allocate 30% of time to OCI Data Science service specifics
- Spend 25% each on ML development and deployment topics
- Dedicate 20% to data engineering and MLOps
- Reserve last 2 weeks for review and practice exams
- Create summary notes after each study session for quick review
Practice Exam Strategy
- Take at least 3 full-length practice exams under timed conditions
- Review all incorrect answers thoroughly - understand why you got them wrong
- Identify patterns in questions - certain topics may appear frequently
- Time yourself: 55 questions in 90 minutes = less than 2 minutes per question
- Practice eliminating obviously wrong answers first
Exam Day Tips
- 1Arrive 15 minutes early if taking exam at a test center, or prepare your space 30 minutes before for online proctoring
- 2Read each question carefully - some may have multiple correct answers with one being 'most correct'
- 3Watch for keywords like 'best practice', 'most efficient', 'least expensive', 'most secure'
- 4If unsure, eliminate obviously wrong answers first, then make an educated guess
- 5Flag difficult questions and return to them after completing easier ones
- 6You need 38 correct answers out of 55 to pass (68%) - don't panic if some questions seem very difficult
- 7OCI-specific questions often focus on service limits, pricing models, and best practices
- 8For scenario questions, identify the core requirement before selecting an answer
- 9Don't spend more than 2 minutes on any single question - move on and come back if needed
- 10Review all flagged questions if time permits before submitting the exam
- 11Remember that hands-on experience is the best preparation - real-world scenarios help immensely
- 12Stay calm and confident - you've prepared thoroughly with hands-on practice
Study guide generated on January 7, 2026
Oracle Cloud Infrastructure 2025 Data Science Professional 2025 Study Guide FAQs
Oracle Cloud Infrastructure 2025 Data Science Professional is a professional certification from Oracle that validates expertise in oracle cloud infrastructure 2025 data science professional technologies and concepts. The official exam code is 1Z0-1110-25.
The Oracle Cloud Infrastructure 2025 Data Science Professional Study Guide 2025 includes updated content reflecting the latest exam changes, new technologies, and best practices. It covers all current exam objectives and domains.
Yes, the 2025 Oracle Cloud Infrastructure 2025 Data Science Professional study guide has been updated with new content, revised exam objectives, and the latest industry trends. It reflects all changes made to the 1Z0-1110-25 exam.
Start by reviewing the exam objectives in the 2025 guide, then work through each section systematically. Combine your study with practice exams to reinforce your learning.
More 2025 Resources
Complete your exam preparation with these resources