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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Which set lists built-in tool categories supported by OCI Enterprise AI Agents?

                                                                • A. VCN routing and load balancing tools.
                                                                • B. SMS, Email, and Fax connectors.
                                                                • C. File Search, Code Interpreter, Function Calling, and MCP Calling.
                                                                • D. SSH, FTP, and RDP tools.
                                                                Answer: C

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

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

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

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

                                                                Which Python package is installed first for a simple OCI Responses API setup?

                                                                • A. requests-html
                                                                • B. django
                                                                • C. openai
                                                                • D. boto3
                                                                Answer: C

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

                                                                In JSON-RPC 2.0, what is the difference between a request and a notification?

                                                                • A. A request uses HTTP, while a notification uses a different transport protocol.
                                                                • B. A request can carry structured data, while a notification can carry only text.
                                                                • C. A request includes an ID and expects a reply, while a notification does not.
                                                                • D. A request is sent unencrypted, while a notification is encrypted before processing.
                                                                Answer: C

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

                                                                Which approaches are supported by OCI Enterprise AI Agents?

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

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