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Updated: Sep 17, 2026
No. of Questions: 54 Questions & Answers with Testing Engine
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| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle AI Database Foundations Associate |
| Exam Number: | 1Z0-1195-26 |
| Exam Format: | Online unproctored exam, Multiple-choice questions |
| Real Exam Qty: | 40 |
| Exam Duration: | 60 minutes |
| Related Certifications: | Oracle AI Database Certified Foundations Associate |
| Exam Price: | Free |
| Passing Score: | 65% |
| Certificate Validity Period: | 2 years |
| Available Languages: | English, Japanese |
| Recommended Training: | Prepare for Oracle AI Database Foundations Associate |
| Exam Registration: | Oracle Certification Exam List Oracle MyLearn |
| Sample Questions: | Oracle 1z0-1195-26 Sample Questions |
| Exam Way: | Online, unproctored exam delivered through Oracle MyLearn. |
| Pre Condition: | No prerequisite certification is required. The exam is a foundational-level certification intended for candidates building basic knowledge of Oracle AI Database and related technologies. |
| Official Syllabus URL: | https://mylearn.oracle.com/ou/course/prepare-for-oracle-ai-database-foundations-associate/162214/271620 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Oracle Database Actions and Data Studio Tools | 15% | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 2: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Create an Autonomous AI Database Serverless instance for a basic workload - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Describe Autonomous AI Database characteristics, offerings, and deployment choices |
| Topic 3: Building Low-Code Applications and Agentic AI | 10% | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Topic 4: Working with JSON and Graph in Oracle AI Database | 20% | - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case - Describe core graph concepts and graph analytic capabilities |
| Topic 5: Working with AI and Vector Foundations | 15% | - Describe AI, AGI, and machine learning foundations - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Topic 6: Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database |
Which JSON feature helps represent repeating child data inside one document?
Correct Answer: B 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?
Correct Answer: D 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
Which example is a common AI use case?
Correct Answer: C 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
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?
Correct Answer: D 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
A company wants a GenAI assistant that answers policy questions by grounding responses in its internal documents.
Which use of AI Vector Search best supports this design?
Correct Answer: B 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
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