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Oracle 1z0-1157-26 Exam Syllabus Topics:

Section	Weight	Objectives
OpenAI Responses API and Agents SDK	15%	- OpenAI agent stack 1. Multi-agent design patterns and handoffs 2. OpenAI Responses API for agentic applications 3. Function calling and tools 4. Agents SDK primitives: Agent, Runner, Tool, Handoffs, and Guardrails 5. Guardrails for validating inputs, outputs, and agent actions
LangChain for AI Agents	5%	- LangChain fundamentals and agent construction 1. LangChain agent reasoning and tool execution flow 2. LangChain core abstractions: chat models, prompts, tools, and agents 3. LangChain tools, prompts, and chains
Introduction to AI Agents	15%	- AI agent fundamentals 1. Agent reasoning patterns: Chain-of-Thought and ReAct 2. Safety considerations and guardrail techniques 3. Differentiate AI agents from traditional chatbots and rule-based workflows 4. Core components of an AI agent: LLM, tools, and orchestration loop
Agentic AI for Oracle AI Database	25%	- Oracle AI Database agentic AI capabilities 1. Oracle Autonomous AI Database MCP Server 2. Grounding agent responses with enterprise data from Oracle AI Database 3. Select AI for natural-language interaction with Oracle AI Database 4. VECTOR data type, vector embeddings, and similarity search 5. Oracle AI Vector Search, Select AI, and MCP integration 6. Oracle AI Vector Search workflow: document chunking, embedding generation, similarity search, and retrieval 7. Oracle AI Database Private Agent Factory
Model Context Protocol (MCP) Fundamentals	15%	- MCP architecture and integration 1. JSON-RPC 2.0 message format 2. Role of MCP in standardizing integration between AI agents and external tools 3. MCP transport options including stdio and Streamable HTTP 4. Integrating MCP capabilities into agentic AI workflows 5. MCP hosts, clients, servers, tools, resources, and prompts
OCI Enterprise AI Agents	25%	- OCI Enterprise AI platform and agent services 1. Deployment and scaling options 2. Building and running AI agents with OCI Enterprise AI Agents 3. OCI Enterprise AI Agents building blocks: Responses API, tools, memory, and vector stores 4. OCI Enterprise AI Agents development, orchestration, and execution 5. OCI Enterprise AI platform services for the enterprise AI agent lifecycle

Oracle Agentic AI Foundations Associate Sample Questions:

Question #1

Which statement describes an MCP Host?

A. Coordinates the LLM, user interaction, and MCP client connections to servers.
B. It is the external REST API wrapped by the MCP server.
C. It executes tool implementations directly and returns results to the LLM.
D. It defines the protocol messages between clients and servers.

Reveal Solution Discussion 0

Correct Answer: A 🗳️