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Oracle 1z0-1157-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| OCI Enterprise AI Platform | - OCI Enterprise AI Agents and Knowledge Bases - OCI Enterprise AI services overview |
| Building Agents with LangChain and OpenAI Agent Stack | - LangChain components and chains - OpenAI Agents SDK usage |
| Enterprise Agent Development and Governance | - Multi-agent systems and handoffs - Function calling and tool integration - Guardrails, agent tracing and monitoring |
| Oracle AI Database for Agentic AI | - Agentic AI capabilities in Oracle AI Database - Oracle AI Vector Search |
| Implementing Model Context Protocol (MCP) | - MCP fundamentals and integration |
| Agent Fundamentals and Reasoning Patterns | - Agent reasoning patterns and workflows - AI agent core concepts and architectures |
Oracle Agentic AI Foundations Associate Sample Questions:
Assume an agent has access to the tools multiply(a, b) and divide(a, b). A user asks: "What is 15 multiplied by
8, then divided by 3?" In the OpenAI Agents SDK, how does the agent loop handle this multi-step task?
- A. The SDK automatically combines all arithmetic operations into a single tool call
- B. The Runner performs all arithmetic internally without involving the model or tools
- C. The model calls every available arithmetic tool before answering
- D. The model calls multiply(15, 8), receives the result, then calls divide(120, 3)
Correct Answer: D 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
Which approaches can generate embeddings for Oracle AI Vector Search workflows?
- A. Export data to a Python environment, generate embeddings, then reimport via SQL Loader
- B. Train a custom embedding model and manually insert vectors row by row
- C. Use ONNX models in-database or external REST-based embedding providers
- D. Use external REST APIs exclusively, since in-database embedding is not supported
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
Which three model categories are available through OCI Enterprise AI Models?
- A. Robotics, Audio, and Vision models.
- B. SQL, NoSQL, and Graph models.
- C. Chat models, Embed models, and Rerank models.
- D. Forecasting, Clustering, and Regression models.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
In the OpenAI Agents SDK, when are input guardrails and output guardrails evaluated?
- A. Input guardrails and output guardrails both are evaluated only after the final response is generated.
- B. Input guardrails and output guardrails run only if explicitly triggered by the model.
- C. Input guardrails run before the agent processes input; output guardrails run before the response is returned.
- D. Input guardrails and output guardrails both are evaluated only before the model receives user input.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
Which statement describes an MCP Host?
- A. It executes tool implementations directly and returns results to the LLM.
- B. It is the external REST API wrapped by the MCP server.
- C. Coordinates the LLM, user interaction, and MCP client connections to servers.
- D. It defines the protocol messages between clients and servers.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
