Oracle 1z0-1157-26 : Agentic AI Foundations Associate

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Oracle 1z0-1157-26 Exam Syllabus Topics:

Oracle Agentic AI Foundations Associate Sample Questions:

Question 1

What is the high-level workflow for Oracle AI Vector Search?

A. Create indexes - > Search and query - > Feed into LLM - > Store vectors
B. Generate embeddings - > Store vectors - > Search and query - > Feed into LLM
C. Create indexes - > Generate embeddings - > Store vectors - > Feed into LLM - > Search and query
D. Generate embeddings - > Store vectors - > Create indexes - > Search and query - > Feed into LLM

Question 2

Which native column type does Oracle AI Database use for storing vector embeddings?

A. VARCHAR2
B. JSON
C. VECTOR
D. BLOB

Question 3

What is Oracle AI Database Private Agent Factory?

A. A managed orchestration layer for deploying to Kubernetes
B. A no-code platform for building agents
C. A hardware appliance for training models on-premises
D. A backup utility for embeddings

Question 4

What occurs during the MCP initialization phase?

A. The server executes all tools once to warm internal caches.
B. The client and server exchange protocol versions and supported capabilities.
C. The LLM is fine-tuned using the server's tool definitions.
D. The client completes user authentication as part of the protocol initialization exchange.

Question 5

What is an embedding in a semantic search workflow?

A. A vector produced by a neural network.
B. A compressed video file format used by streaming services.
C. A database trigger that fires before INSERT.
D. A type of SQL JOIN designed for nested tables.

Solutions: