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

Exam Code: 1z0-1157-26
Exam Name: Agentic AI Foundations Associate
Updated: Sep 11, 2026
Q & A: 60 Questions and Answers

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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

Oracle Agentic AI Foundations Associate Sample Questions:

Question #1

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. Forecasting, Clustering, and Regression models.
D. SQL, NoSQL, and Graph models.

Answer: A