عراب ال IT 
امتحانات دوليه
1Z0-1195-25
Oracle Data Platform 2025 Foundations Associate
About the Certification
This is a foundational certification in cloud data platforms from Oracle. It focuses on understanding enterprise data platform concepts using the Oracle Data Ecosystem at a high-level, without heavy engineering complexity. The certification validates an understanding of how data platforms operate on Oracle, including awareness of managed and Autonomous databases, logical thinking around Data Lakehouse architectures, identifying where data integration services fit, and the role of Data Catalog and metadata in enterprise governance. It also connects operational service decisions to their impact on analytics quality and data accessibility, highlighting how poor visibility or inaccurate migration decisions can affect outcomes later. Overall, it confirms readiness to start working with Oracle Cloud data services and understand platform logic before moving into deeper specializations.
Main Curriculum
The curriculum is divided into seven main sections
- Data Platform Fundamentals
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- What data platforms are
- Data types: structured, semi-structured, and unstructured
- Data lifecycle
- Business use cases
- Data Processing and Analytics
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- Querying and analytics fundamentals
- High-level SQL concepts
- Analytics and Business Intelligence (BI) overview
- Real-time vs. historical analytics
- Data Platform Ecosystem
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- Overview of Oracle data services
- Integration with Oracle Cloud Infrastructure (OCI)
- Analytics and AI service stack
- End-to-End Data Architecture
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- Data ingestion and integration
- Data sources
- Extract, Transform, Load (ETL / ELT) concepts
- Batch vs. streaming data
- Data integration fundamentals
- Data Storage and Management
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- Data warehouses vs. data lakes
- Oracle Autonomous Data Warehouse
- Object storage for data
- Data organization concepts
- Data Governance, Security, and Privacy
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- Data governance concepts
- Data quality and lineage
- Security and access control
- Privacy and compliance fundamentals
- Data Science, AI, and Machine Learning Overview
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- Data science lifecycle
- Machine learning fundamentals
- AI use cases
- Oracle AI and Machine Learning services (conceptual overview)
Exam Details :
- Exam code: 1Z0-1195-25
- Exam duration: 60 minutes
- Number of questions: 40 questions
- Question types: Multiple choice
- Language: English
- Passing score: 65%
- Exam fee: USD 90–150 (may vary by country and may include taxes)
- Certification validity: Lifetime
Do I need certifications before it ?
No, not required.
However, in practice, having general familiarity with networking, IP addressing, virtualization, or cloud concepts is helpful and can speed up learning, but it is not mandatory.
Which certifications are recommended after this one ?
Not mandatory.
However, if you are looking for a strong path in Oracle data platform fundamentals, especially in database management, data analytics, and cloud data services, then the Oracle Data Platform 2025 Foundations Associate certification is the strongest option.
What are the main uses of the Oracle Data Platform 2025 Foundations Associate certification ?
- Oracle Data Platform Associate / Professional to deepen expertise in designing and operating data platforms on Oracle Cloud
- Data Engineering (ETL / Pipelines / Lakehouse) for building and processing data pipelines for analytics
- Analytics & BI (Oracle Analytics / Power BI / Tableau) to turn data into reports and decision-support insights
- Cloud Data & AI (OCI Data Science / ML Basics) to connect data platforms with AI and machine learning
- Multi-Cloud Data Platforms (AWS / Azure) to expand experience across multiple cloud data ecosystems
Your First Step into the Data Platform World :
This certification gives you a clear understanding of enterprise data platform logic on Oracle Cloud before moving into deeper specializations. It is a strong step for professionals who want to build a foundation in the data layer within enterprises, offering early awareness of data placement decisions before heavy implementation. It also enables more accurate analysis and documentation, supporting stable data access in later SOC and data planning stages.
Who is this certification suitable for ?
- Beginners in data platforms on Oracle Cloud
- Data or Cloud Support Trainee roles
- Database and Analytics operators seeking platform awareness
- Infrastructure, DevOps, and Architecture teams needing fast insight into data placement impact
- Candidates preparing for advanced paths such as Cloud Data Engineer, OCI Data/Database Architect, or AI/Analytics on Oracle