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

Question 2

Which three model categories are available through OCI Enterprise AI Models?

A. Chat models, Embed models, and Rerank models.
B. Robotics, Audio, and Vision models.
C. SQL, NoSQL, and Graph models.
D. Forecasting, Clustering, and Regression models.

Question 3

Which behavior is NOT a characteristic of modern LLM-based AI agents?

A. Requiring every execution path to be predefined
B. Using external APIs or databases
C. Adjusting behavior based on observations
D. Pursuing goals across multiple steps

Question 4

Which statement describes the OCI Responses API?

A. It requires a proprietary OCI-only SDK
B. It supports a single model provider
C. It supports only read-only operations
D. It provides an OpenAI-compatible API

Question 5

Why are docstrings especially important when defining LangChain tools with the @tool decorator?

A. They determine which API provider LangChain uses.
B. They improve Python execution speed.
C. They tell the LLM when and how to use the tool.
D. They encrypt tool arguments before execution.

Solutions: