Oracle 1z0-1195-26 dumps - in .pdf

1z0-1195-26 pdf
  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Updated: Sep 11, 2026
  • Q & A: 54 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Updated: Sep 11, 2026
  • Q & A: 54 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Oracle 1z0-1195-26 dumps - Testing Engine

1z0-1195-26 Testing Engine
  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Updated: Sep 11, 2026
  • Q & A: 54 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Oracle Database Services — Exadata, DBCS, and Engineered Systems~11%- Database Cloud Service (DBCS) characteristics
- Exadata architecture and features
Security, Resilience, and Cloud Integration~21%- Database security architectures and data protection
- Cloud-native database services and deployment strategies
- High availability, backup, and disaster recovery
Autonomous AI Database and Tools~16%- Core features of Autonomous AI Database
- Built-in management and query tools
- Shared vs dedicated infrastructure
Oracle Machine Learning and AI Integration~15%- AI agents and LLM integration
- In-database machine learning algorithms
- Oracle Data Studio and visualization
Data Management and Oracle Data Platform Overview~11%- Oracle Data Strategy and multi-cloud deployment models
- Modern data platform value and architecture
- Data management concepts and data types
MySQL HeatWave and NoSQL Services~11%- Oracle NoSQL Database features and use cases
- MySQL HeatWave architecture and analytics
Converged Database — Multi-Model and AI Capabilities~15%- JSON, Graph, Spatial, and key-value data support
- Select AI and natural language querying
- Oracle AI Vector Search concepts

Oracle AI Database Foundations Associate Sample Questions:

Question #1

In a RAG-style application, where does similarity search apply?

  • A. It replaces the generation step by returning only raw vector values
  • B. It retrieves the most relevant stored content for the user's question
  • C. It creates the original source documents from the generated answer
  • D. It evaluates user authentication rules before retrieving context
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

What does Select AI enable in Autonomous AI Database?

  • A. Administrators can provision database instances from natural-language prompts
  • B. Users can ask natural-language questions to get data answers
  • C. Users can replace every SQL query with graph pattern matching
  • D. Administrators can rotate customer-managed encryption keys from a query prompt
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).

Question #3

What happens after a user asks a business question with Select AI?

  • A. The user must manually create embeddings before SQL can be generated
  • B. The system selects database tables and joins without using any schema metadata
  • C. The database disables SQL and switches to document APIs only
  • D. The platform manages prompt engineering, interacts with an LLM, and produces the answer
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

Which sequence matches a simple RAG pipeline?

  • A. Generate an answer first, then create embeddings only if the answer looks weak
  • B. Build a graph model, then schedule maintenance, then create embeddings after generation
  • C. Provision an application workspace, then skip retrieval and generate answers directly from schema metadata
  • D. Create embeddings, store vectors, retrieve relevant chunks by similarity, then generate an answer
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).

Question #5

What is an embedding in the context of AI Vector Search?

  • A. A graph edge label stored in a property graph
  • B. A text-only backup of a JSON collection
  • C. A sequence of numbers that represents semantic content
  • D. A maintenance schedule attached to a database instance
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).

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