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Oracle 1z0-1195-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle AI Database Foundations Associate |
| Exam Number: | 1Z0-1195-26 |
| Passing Score: | 65% |
| Exam Price: | Free (USD $0 via learning path voucher; $245 if purchased separately) |
| Certificate Validity Period: | 18 months from certification earn date |
| Available Languages: | English, Japanese |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 40 |
| Related Certifications: | OCI AI Foundations Associate (1Z0-1122-26) Agentic AI Foundations Associate (1Z0-1157-26) |
| Exam Duration: | 60 minutes |
| Recommended Training: | Become an Oracle AI Database Foundations Associate (Free Learning Path) |
| Exam Registration: | Oracle MyLearn Portal |
| Sample Questions: | Oracle 1z0-1195-26 Sample Questions |
| Exam Way: | Online proctored via Oracle MyLearn (OnVUE); may also be available at authorized testing centers in select regions. |
| Pre Condition: | No formal prerequisites. Completion of the free 'Oracle AI Database Foundations' learning path on MyLearn.oracle.com is required to obtain a free exam voucher. |
| Official Syllabus URL: | https://education.oracle.com/ |
Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Autonomous AI Database and Tools | ~16% | - Shared vs dedicated infrastructure - Core features of Autonomous AI Database - Built-in management and query tools |
| Topic 2: Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - AI agents and LLM integration - Oracle Data Studio and visualization |
| Topic 3: Converged Database — Multi-Model and AI Capabilities | ~15% | - Select AI and natural language querying - JSON, Graph, Spatial, and key-value data support - Oracle AI Vector Search concepts |
| Topic 4: Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| Topic 5: Data Management and Oracle Data Platform Overview | ~11% | - Modern data platform value and architecture - Data management concepts and data types - Oracle Data Strategy and multi-cloud deployment models |
| Topic 6: Security, Resilience, and Cloud Integration | ~21% | - Cloud-native database services and deployment strategies - High availability, backup, and disaster recovery - Database security architectures and data protection |
| Topic 7: MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
Oracle AI Database Foundations Associate Sample Questions:
Question 1
A support portal must search product manuals semantically while also filtering results by product line and support level stored in relational columns. How does Oracle AI Vector Search support this requirement?
A. It stores structured filter values as graph relationships before search can run
B. It supports semantic search with relational business filters in an integrated database approach
C. It requires semantic search results to be filtered outside the database after retrieval
D. It uses document APIs for search while excluding SQL-based business predicates
Question 2
A vector index will not fit entirely in memory. Which index organization option should be considered for use?
A. INMEMORY NEIGHBOR GRAPH
B. TARGET ACCURACY
C. NEIGHBOR PARTITIONS
D. EXACT SEARCH ONLY
Question 3
Which set of characteristics is commonly used to describe Autonomous AI Database?
A. Self-hosted, self-audited, and self-architected
B. Self-driving, self-securing, and self-repairing
C. Self-coding, self-licensing, and self-networking
D. Self-training, self-upgrading, and self-documenting
Question 4
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?
A. A standard B-tree index optimized for exact match and range queries
B. A graph view with ONE ROW PER STEP
C. A JSON duality view with update restrictions
D. A vector index with approximate search
Question 5
A company must control the lifecycle of its database encryption keys to satisfy regulatory requirements.
Which key management option should it use for the Oracle Autonomous AI Database instance?
A. APEX-managed workspace keys
B. Oracle-managed keys
C. Customer-managed keys stored through OCI Vault integration
D. Public internet certificates managed by Database Actions
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: C |
By Hubery
