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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
| Topic 2: Data Management and Oracle Data Platform Overview | ~11% | - Oracle Data Strategy and multi-cloud deployment models - Modern data platform value and architecture - Data management concepts and data types |
| Topic 3: Converged Database — Multi-Model and AI Capabilities | ~15% | - Oracle AI Vector Search concepts - Select AI and natural language querying - JSON, Graph, Spatial, and key-value data support |
| Topic 4: Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - AI agents and LLM integration - Oracle Data Studio and visualization |
| Topic 5: Security, Resilience, and Cloud Integration | ~21% | - Database security architectures and data protection - High availability, backup, and disaster recovery - Cloud-native database services and deployment strategies |
| Topic 6: Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Database Cloud Service (DBCS) characteristics - Exadata architecture and features |
| Topic 7: Autonomous AI Database and Tools | ~16% | - Shared vs dedicated infrastructure - Core features of Autonomous AI Database - Built-in management and query tools |
How is Oracle APEX described?
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What is the main difference between Autonomous AI Database Serverless and Dedicated deployment choices?
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You just provisioned a Serverless database and need to confirm when application teams can begin connecting to it. When is the database ready for connections?
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What describes the role of the Database Actions menu in Autonomous AI Database?
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Modern applications often need to work with relational data, JSON documents, graph relationships, and vector embeddings. What challenge does using a different specialized database for each need create?
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