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Oracle AI Database Foundations Associate : 1z0-1195-26 test torrent
- Exam Code: 1z0-1195-26
- Exam Name: Oracle AI Database Foundations Associate
- Updated: Sep 15, 2026
- Q & A: 54 Questions and Answers
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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implementing Select AI and AI Vector Search in Autonomous AI Database | - Determine how AI Vector Search supports GenAI pipelines and RAG - Describe Select AI in Autonomous AI Database - Apply AI Vector Search to combined semantic and business-data search scenarios |
| Topic 2: Working with JSON and Graph in Oracle AI Database | - Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Topic 3: Building Low-Code Applications and Agentic AI | - Choose the appropriate Agent Factory capability for a no-code AI agent use case - Describe Oracle APEX as Oracle's low-code platform |
| Topic 4: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Create an Autonomous AI Database Serverless instance for a basic workload |
| Topic 5: Working with AI and Vector Foundations | - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type - Describe AI, AGI, and machine learning foundations |
| Topic 6: Using Oracle Database Actions and Data Studio Tools | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
Oracle AI Database Foundations Associate Sample Questions:
Question #1
What describes the role of the Database Actions menu in Autonomous AI Database?
- A. A network access option used to isolate database connections
- B. A graph analytics engine used instead of SQL tools
- C. A workspace used only to configure vector index organization settings
- D. The central location for built-in database tools and related workspaces
Correct Answer: D 🗳️
Explanation: Only visible for PDF4Test members. You can sign-up / login (it's free).
Question #2
In a RAG-style application, where does similarity search apply?
- A. It creates the original source documents from the generated answer
- B. It retrieves the most relevant stored content for the user's question
- C. It replaces the generation step by returning only raw vector values
- D. It evaluates user authentication rules before retrieving context
Correct Answer: B 🗳️
Explanation: Only visible for PDF4Test members. You can sign-up / login (it's free).
Question #3
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?
- A. When a JSON collection table is loaded into the database
- B. When the Create button is selected in the console
- C. When a Data Studio project is created for the database
- D. When the instance shows Available after provisioning
Correct Answer: D 🗳️
Explanation: Only visible for PDF4Test members. You can sign-up / login (it's free).
Question #4
A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?
- A. Semantic search is usually handled after relational filters are removed from the query flow.
- B. Vector search requires data to be modeled as graph paths before SQL predicates are applied.
- C. A converged database can keep data consistent while combining vector search with SQL.
- D. SQL filtering is handled in a separate application step after vector search returns results.
Correct Answer: C 🗳️
Question #5
A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?
- A. Choose the metric based on the database maintenance schedule.
- B. Choose the metric based on whether the data also has JSON attributes.
- C. Choose the metric based on the number of rows in the table.
- D. Choose the distance metric based on the embedding model that produced the vectors.
Correct Answer: D 🗳️
Explanation: Only visible for PDF4Test members. You can sign-up / login (it's free).
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