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

  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 18, 2026
  • Q & A: 60 Questions and Answers

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Oracle 1z0-1157-26 Exam Syllabus Topics:
SectionObjectives
Topic 1: LangChain for AI Agents- LangChain fundamentals
  • 1. Building agents with LangChain
    • 2. LangChain and LangChain Expression Language
      • 3. Agent invocation and orchestration flow
        • 4. Tools, tool schemas, and tool execution
          Topic 2: OCI Enterprise AI Agents- OCI Enterprise AI platform
          • 1. Building and running AI agents
            • 2. Agent development, orchestration, and execution
              • 3. Responses API, tools, memory, and vector stores
                • 4. OCI Enterprise AI Agents service
                  • 5. Deployment and scaling
                    Topic 3: Introduction to MCP- Model Context Protocol fundamentals
                    • 1. MCP clients and servers
                      • 2. MCP concepts and architecture
                        • 3. Tool discovery and interoperability
                          Topic 4: OpenAI Responses API and Agents SDK- OpenAI agent development
                          • 1. Multi-agent handoffs
                            • 2. Responses API
                              • 3. Function calling and tools
                                • 4. OpenAI Agents SDK
                                  • 5. Guardrails and tracing
                                    Topic 5: Agentic AI for Oracle AI Database- Oracle AI Database agentic AI capabilities
                                    • 1. Vector data types, embeddings, and similarity search
                                      • 2. Grounding agent responses with enterprise data
                                        • 3. Oracle AI Database Private Agent Factory
                                          • 4. Select AI
                                            • 5. Oracle AI Vector Search
                                              • 6. Oracle Autonomous AI Database MCP Server
                                                • 7. Document chunking, embedding generation, and retrieval
                                                  Topic 6: Introduction to AI Agents- AI agent fundamentals and architecture
                                                  • 1. Agent reasoning patterns including Chain-of-Thought and ReAct
                                                    • 2. Safety, guardrails, and responsible agentic workflows
                                                      • 3. AI agents, traditional chatbots, and rule-based systems
                                                        • 4. Core agent components: LLMs, tools, and orchestration loops
                                                          - Agent development concepts
                                                          • 1. Function calling and tool use
                                                            • 2. Multi-agent design patterns and handoffs
                                                              • 3. OpenAI Agents SDK guardrails
                                                                Oracle Agentic AI Foundations Associate Sample Questions:
                                                                Question #1

                                                                What is the purpose of the Vector Stores API?

                                                                • A. Encrypting Object Storage buckets.
                                                                • B. Indexing and retrieving data by meaning.
                                                                • C. Streaming video into AI agents.
                                                                • D. Translating text between languages.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

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                                                                Question #2

                                                                Which approaches are supported by OCI Enterprise AI Agents?

                                                                • A. Build a frontend agent or a backend agent.
                                                                • B. Call the Responses API directly or deploy a hosted agent application.
                                                                • C. Select a free or paid deployment model.
                                                                • D. Deploy using Python-only or Java-only options.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Question #3

                                                                Which approaches can generate embeddings for Oracle AI Vector Search workflows?

                                                                • A. Train a custom embedding model and manually insert vectors row by row
                                                                • B. Use ONNX models in-database or external REST-based embedding providers
                                                                • C. Use external REST APIs exclusively, since in-database embedding is not supported
                                                                • D. Export data to a Python environment, generate embeddings, then reimport via SQL Loader
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

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                                                                Question #4

                                                                Which value associates OCI Responses API requests with a specific OCI Generative AI Project?

                                                                • A. Object Storage bucket name
                                                                • B. VCN OCID
                                                                • C. Project OCID
                                                                • D. Tenancy display name
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: C  🗳️

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                                                                Question #5

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

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

                                                                Correct Answer: C  🗳️

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