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

1z0-1157-26 real exams

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:

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

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Question #1

                                                                Which four behaviors does every Select AI Agent perform?

                                                                • A. Retrieve, Rank, Generate, and Validate
                                                                • B. Plan, Use tools, Reflect, and Remember
                                                                • C. Plan, Execute, Monitor, and Scale
                                                                • D. Plan, Use tools, Summarize, and Terminate
                                                                Answer: B

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                                                                Question #2

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

                                                                • A. SCORE_SIMILARITY()
                                                                • B. VECTOR_SCORE()
                                                                • C. VECTOR_DISTANCE()
                                                                • D. EMBEDDING_DISTANCE()
                                                                Answer: C

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                                                                Question #3

                                                                Which approaches are supported by OCI Enterprise AI Agents?

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

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                                                                Question #4

                                                                Which prompt addition is used for zero-shot Chain-of-Thought prompting?

                                                                • A. Set temperature equal to zero.
                                                                • B. Let's think step by step.
                                                                • C. Disable all external retrieval tools.
                                                                • D. Upload a structured CSV first.
                                                                Answer: B
                                                                Question #5

                                                                What is the architectural advantage of Autonomous AI Database MCP Server over a separately deployed third- party MCP server?

                                                                • A. It reduces operational overhead and enforces security inside the database.
                                                                • B. It uses a common MCP host for all database connections.
                                                                • C. It eliminates the need for SQL queries entirely.
                                                                • D. It moves all query execution to a separate compute tier outside the database.
                                                                Answer: A

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