Oracle Agentic AI Foundations Associate 1z0-1157-26 Certified Exam Dumps

1z0-1157-26 Exam Dumps

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Certification Provider: Oracle
Exam Code / Number: 1z0-1157-26
Exam Name: Agentic AI Foundations Associate
Exam Questions: 60
Last Updated: Oct 25, 2026
Corresponding Certification: Oracle Certification

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Oracle 1z0-1157-26 Exam Syllabus Topics:

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


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