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Last Updated: Sep 09, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Resilience, and Cloud Integration | ~21% | - High availability, backup, and disaster recovery - Database security architectures and data protection - Cloud-native database services and deployment strategies |
| Topic 2: Converged Database — Multi-Model and AI Capabilities | ~15% | - JSON, Graph, Spatial, and key-value data support - Select AI and natural language querying - Oracle AI Vector Search concepts |
| Topic 3: Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Database Cloud Service (DBCS) characteristics - Exadata architecture and features |
| Topic 4: Oracle Machine Learning and AI Integration | ~15% | - AI agents and LLM integration - In-database machine learning algorithms - Oracle Data Studio and visualization |
| Topic 5: Data Management and Oracle Data Platform Overview | ~11% | - Modern data platform value and architecture - Oracle Data Strategy and multi-cloud deployment models - Data management concepts and data types |
| Topic 6: MySQL HeatWave and NoSQL Services | ~11% | - Oracle NoSQL Database features and use cases - MySQL HeatWave architecture and analytics |
| Topic 7: Autonomous AI Database and Tools | ~16% | - Shared vs dedicated infrastructure - Built-in management and query tools - Core features of Autonomous AI Database |
Question 1
Which set of characteristics is commonly used to describe Autonomous AI Database?
A. Self-driving, self-securing, and self-repairing
B. Self-training, self-upgrading, and self-documenting
C. Self-coding, self-licensing, and self-networking
D. Self-hosted, self-audited, and self-architected
Question 2
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?
A. They can reduce administration because every platform shares one security model
B. They can avoid all data transformation and synchronization work
C. They can query all data types together with one built-in model automatically
D. They can create data silos that make integrated access and management harder
Question 3
Which task is a common use of graph analytics?
A. Sorting records only by a single numeric column value
B. Determining communities or connected clusters in a network
C. Listing unrelated records without evaluating relationships
D. Storing each relationship as an isolated text value with no links
Question 4
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?
A. A graph view with ONE ROW PER STEP
B. A standard B-tree index optimized for exact match and range queries
C. A vector index with approximate search
D. A JSON duality view with update restrictions
Question 5
What does Select AI enable in Autonomous AI Database?
A. Users can ask natural-language questions to get data answers
B. Administrators can provision database instances from natural-language prompts
C. Users can replace every SQL query with graph pattern matching
D. Administrators can rotate customer-managed encryption keys from a query prompt
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: A |
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