Library / Artificial Intelligence

1Z0-1157-26 OCI Agentic AI Foundations Associate

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About this course

Hi All,Prepare confidently for the Oracle Maintenance Cloud 2026 Implementation Professional 1Z0-1095-26 certification with all latest/updated MCQS covering 2026 pattern.

Exam format:

  • This exam is a Multiple-Choice Questions (MCQs) exam comprising of simple and scenario-based questions.
  • Introduction to AI AgentsDifferentiate AI agents, traditional chatbots, and rule-based workflows based on autonomy, reasoning, and tool use

Describe the core components of an AI agent and their role in agent execution: LLM, Tools, Orchestration (Loop)Describe agent reasoning patterns: Chain-of-Thought (CoT) and ReAct (Reasoning and Acting)Explain safety considerations and guardrail techniques for AI agents

LangChain for AI AgentsDescribe LangChain core abstractions: chat models, prompts, tools, and agents and the role each plays in agent construction

Apply LangChain tools, prompts, and chains to build an AI agent

Explain the reasoning and tool execution flow within a LangChain agent

Model Context Protocol (MCP) Fundamentals

Explain the role of the Model Context Protocol (MCP) in standardizing integration between AI agents and external tools

Explain MCP core components: hosts, clients, servers, tools, resources, and prompts and the role each plays in agent-tool integration

Describe the MCP message format (JSON-RPC 2.0) and transport options (stdio and Streamable HTTP)Integrate MCP capabilities into an Agentic AI workflow

OpenAI Responses API and Agents SDKExplain how the OpenAI Responses API supports agentic applications

Explain how the core primitives of the OpenAI Agents SDK: Agent, Runner, Tool, Handoffs, and Guardrails support building ag

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