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

1z0-1157-26
  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 12, 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. Building and running AI agents
    • 2. Agent development, orchestration, and execution
      • 3. Deployment and scaling
        • 4. OCI Enterprise AI Agents service
          • 5. Responses API, tools, memory, and vector stores
            Introduction to MCP- Model Context Protocol fundamentals
            • 1. MCP concepts and architecture
              • 2. Tool discovery and interoperability
                • 3. MCP clients and servers
                  Introduction to AI Agents- AI agent fundamentals and architecture
                  • 1. AI agents, traditional chatbots, and rule-based systems
                    • 2. Safety, guardrails, and responsible agentic workflows
                      • 3. Core agent components: LLMs, tools, and orchestration loops
                        • 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
                                OpenAI Responses API and Agents SDK- OpenAI agent development
                                • 1. Function calling and tools
                                  • 2. Responses API
                                    • 3. Multi-agent handoffs
                                      • 4. OpenAI Agents SDK
                                        • 5. Guardrails and tracing
                                          LangChain for AI Agents- LangChain fundamentals
                                          • 1. Agent invocation and orchestration flow
                                            • 2. Building agents with LangChain
                                              • 3. LangChain and LangChain Expression Language
                                                • 4. Tools, tool schemas, and tool execution
                                                  Agentic AI for Oracle AI Database- Oracle AI Database agentic AI capabilities
                                                  • 1. Select AI
                                                    • 2. Grounding agent responses with enterprise data
                                                      • 3. Oracle Autonomous AI Database MCP Server
                                                        • 4. Vector data types, embeddings, and similarity search
                                                          • 5. Document chunking, embedding generation, and retrieval
                                                            • 6. Oracle AI Database Private Agent Factory
                                                              • 7. Oracle AI Vector Search

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Question #1

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

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

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).

                                                                Question #2

                                                                Compared with a standalone LLM call, an AI agent architecture commonly adds which capabilities?

                                                                • A. Replacement of transformer-based inference entirely
                                                                • B. Tool access, memory handling, and iterative execution
                                                                • C. Native GUI rendering and visualization support
                                                                • D. Larger transformer layers and faster training
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).

                                                                Question #3

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

                                                                • A. Let's think step by step.
                                                                • B. Upload a structured CSV first.
                                                                • C. Set temperature equal to zero.
                                                                • D. Disable all external retrieval tools.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: A  🗳️

                                                                Question #4

                                                                Which approaches are supported by OCI Enterprise AI Agents?

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

                                                                Correct Answer: D  🗳️

                                                                Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).

                                                                Question #5

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

                                                                • A. Let's think step by step.
                                                                • B. Upload a structured CSV first.
                                                                • C. Set temperature equal to zero.
                                                                • D. Disable all external retrieval tools.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: A  🗳️

                                                                Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).

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