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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: 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 3: Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - 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 4: Working with AI and Vector Foundations | 15% | - Describe AI, AGI, and machine learning foundations - Explain vectors, embeddings, and the Oracle VECTOR data type - Apply vector distance and indexing concepts to similarity search needs |
| Topic 5: Working with JSON and Graph in Oracle AI Database | 20% | - Explain JSON and Oracle AI Database JSON capabilities - Describe core graph concepts and graph analytic capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Topic 6: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Create an Autonomous AI Database Serverless instance for a basic workload - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy |
Your Oracle AI Database Foundations Associate Questions Answered Honestly
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The Oracle AI Database Foundations Associate blueprint centers on these domains:
- Implementing Select AI and AI Vector Search in Autonomous AI Database (20%)
- Working with AI and Vector Foundations (15%)
- Using Oracle Database Actions and Data Studio Tools (15%)
The full official outline lists further domains, and our bank covers them all.
According to current exam information, the 1z0-1195-26 exam presents 40 questions within a 60 minutes-minute limit. Timed practice sessions are the simplest way to make that constraint feel familiar before the real day.
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Oracle publishes the following prerequisites for the Oracle AI Database Foundations Associate: 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..
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At present, passing the 1z0-1195-26 exam requires a score of 65%, and registration costs Free. Both are Oracle's figures and subject to change — verify them on the official site when booking.
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Oracle AI Database Foundations Associate Sample Questions:
Which sequence matches a simple RAG pipeline?
- A. Create embeddings, store vectors, retrieve relevant chunks by similarity, then generate an answer
- B. Generate an answer first, then create embeddings only if the answer looks weak
- C. Provision an application workspace, then skip retrieval and generate answers directly from schema metadata
- D. Build a graph model, then schedule maintenance, then create embeddings after generation
Correct Answer: A 🗳️
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What is an embedding in the context of AI Vector Search?
- A. A maintenance schedule attached to a database instance
- B. A text-only backup of a JSON collection
- C. A graph edge label stored in a property graph
- D. A sequence of numbers that represents semantic content
Correct Answer: D 🗳️
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A bank wants to identify indirect money movement patterns across several accounts to support fraud investigation. Which approach fits this requirement?
- A. Model accounts as vertices and transfers as edges in a property graph
- B. Use a relational report that shows one transaction at a time without link analysis
- C. Store only summary totals for each account without relationship data
- D. Store transaction descriptions as flat text and search by keywords only
Correct Answer: A 🗳️
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A development team needs an Autonomous AI Database deployment that starts small, minimizes setup effort, and can scale easily. Which deployment choice fits this requirement?
- A. A fixed-capacity deployment option, because it maintains consistent performance without scaling
- B. Dedicated, because it requires capacity to be provisioned and scaled by administrators
- C. Dedicated, because it allows full control over infrastructure configuration and capacity planning
- D. Serverless, because it is designed for simple deployment and elastic scaling
Correct Answer: D 🗳️
Explanation: Only visible for TorrentExam 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?
- A. When a JSON collection table is loaded into the database
- B. When the instance shows Available after provisioning
- C. When a Data Studio project is created for the database
- D. When the Create button is selected in the console
Correct Answer: B 🗳️
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