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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Working with JSON and Graph in Oracle AI Database | - Distinguish when graph capabilities and Property Graph Views fit a business use case - Explain JSON and Oracle AI Database JSON capabilities - Describe core graph concepts and graph analytic capabilities |
| Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | - 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 |
| 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 |
| Working with AI and Vector Foundations | - Apply vector distance and indexing concepts to similarity search needs - Describe AI, AGI, and machine learning foundations - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Building Low-Code Applications and Agentic AI | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Implementing Select AI and AI Vector Search in Autonomous AI Database | - Apply AI Vector Search to combined semantic and business-data search scenarios - Determine how AI Vector Search supports GenAI pipelines and RAG - Describe Select AI in Autonomous AI Database |
Oracle AI Database Foundations Associate Sample Questions:
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 the Create button is selected in the console
- B. When a Data Studio project is created for the database
- C. When a JSON collection table is loaded into the database
- D. When the instance shows Available after provisioning
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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. SQL filtering is handled in a separate application step after vector search returns results.
- D. A converged database can keep data consistent while combining vector search with SQL.
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
Which task is a common use of graph analytics?
- A. Determining communities or connected clusters in a network
- B. Sorting records only by a single numeric column value
- C. Storing each relationship as an isolated text value with no links
- D. Listing unrelated records without evaluating relationships
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
Which example is a common AI use case?
- A. Manually assigning a subnet CIDR during database provisioning
- B. Rotating an encryption key on a fixed compliance schedule
- C. Listing database tables alphabetically in a schema browser
- D. Detecting fraudulent transactions from behavior patterns
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
A vector index will not fit entirely in memory. Which index organization option should be considered for use?
- A. INMEMORY NEIGHBOR GRAPH
- B. EXACT SEARCH ONLY
- C. TARGET ACCURACY
- D. NEIGHBOR PARTITIONS
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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