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

  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 17, 2026
  • Q & A: 60 Questions and Answers

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1z0-1157-26 exam dumps

Oracle 1z0-1157-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Enterprise Agent Development and Governance- Multi-agent systems and handoffs
- Function calling and tool integration
- Guardrails, agent tracing and monitoring
Topic 2: Agent Fundamentals and Reasoning Patterns- AI agent core concepts and architectures
- Agent reasoning patterns and workflows
Topic 3: OCI Enterprise AI Platform- OCI Enterprise AI services overview
- OCI Enterprise AI Agents and Knowledge Bases
Topic 4: Implementing Model Context Protocol (MCP)- MCP fundamentals and integration
Topic 5: Building Agents with LangChain and OpenAI Agent Stack- LangChain components and chains
- OpenAI Agents SDK usage
Topic 6: Oracle AI Database for Agentic AI- Oracle AI Vector Search
- Agentic AI capabilities in Oracle AI Database

Oracle Agentic AI Foundations Associate Sample Questions:

Question #1

In a production MCP architecture, where are tool implementations hosted?

  • A. On a separate MCP server.
  • B. In the MCP client application that invokes the tools.
  • C. Hardcoded inside the agent file using @tool decorators.
  • D. Inside the LLM's training weights.
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Correct Answer: A  🗳️

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Question #2

Which SQL function computes distance between vectors in Oracle AI Vector Search?

  • A. SCORE_SIMILARITY()
  • B. EMBEDDING_DISTANCE()
  • C. VECTOR_SCORE()
  • D. VECTOR_DISTANCE()
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

According to the MCP architecture model, which statement describes the client-server relationship?

  • A. An MCP client maintains a dedicated connection to an MCP server.
  • B. A single MCP client communicates with multiple servers through one shared MCP connection.
  • C. MCP clients and servers run on separate machines.
  • D. An MCP server is used by one client during its lifetime.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Agent has multiply(a,b) and divide(a,b) . User: "What is 15 multiplied by 8, then divided by 3?" How does the OpenAI Agents SDK handle this?

  • A. The Runner performs all arithmetic internally without involving the model or tools.
  • B. The model calls every available arithmetic tool before answering.
  • C. The model calls multiply(15, 8) , receives the result, then calls divide(120, 3) .
  • D. The SDK automatically combines all arithmetic operations into a single tool call.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

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

  • A. They improve Python execution speed.
  • B. They tell the LLM when and how to use the tool.
  • C. They encrypt tool arguments before execution.
  • D. They determine which API provider LangChain uses.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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