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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. Responses API, tools, memory, and vector stores
      • 3. Deployment and scaling
        • 4. OCI Enterprise AI Agents service
          • 5. Agent development, orchestration, and execution
            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. Document chunking, embedding generation, and retrieval
                      • 6. Grounding agent responses with enterprise data
                        • 7. Select AI
                          OpenAI Responses API and Agents SDK- OpenAI agent development
                          • 1. Responses API
                            • 2. Guardrails and tracing
                              • 3. OpenAI Agents SDK
                                • 4. Function calling and tools
                                  • 5. Multi-agent handoffs
                                    Introduction to MCP- Model Context Protocol fundamentals
                                    • 1. Tool discovery and interoperability
                                      • 2. MCP clients and servers
                                        • 3. MCP concepts and architecture
                                          Introduction to AI Agents- AI agent fundamentals and architecture
                                          • 1. Safety, guardrails, and responsible agentic workflows
                                            • 2. Agent reasoning patterns including Chain-of-Thought and ReAct
                                              • 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. OpenAI Agents SDK guardrails
                                                      • 3. Multi-agent design patterns and handoffs
                                                        LangChain for AI Agents- LangChain fundamentals
                                                        • 1. Tools, tool schemas, and tool execution
                                                          • 2. LangChain and LangChain Expression Language
                                                            • 3. Agent invocation and orchestration flow
                                                              • 4. Building agents with LangChain

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                What integration problem does MCP address?

                                                                • A. GPU memory fragmentation during inference
                                                                • B. N × M custom-connector problem between AI apps and tools
                                                                • C. Token-limit problem in large language models
                                                                • D. Latency in cloud-hosted models
                                                                Answer: B

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                                                                What is Oracle AI Database Private Agent Factory?

                                                                • A. A backup utility for embeddings
                                                                • B. A hardware appliance for training models on-premises
                                                                • C. A no-code platform for building agents
                                                                • D. A managed orchestration layer for deploying to Kubernetes
                                                                Answer: C

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                                                                Which statement describes an LLM-based AI agent?

                                                                • A. A chatbot interface with additional visual components.
                                                                • B. A newly trained standalone model type.
                                                                • C. A specialized transformer architecture.
                                                                • D. A model-based system that uses tools and orchestration.
                                                                Answer: D

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

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

                                                                In OpenAI Agents SDK, how does the model select which tool to call?

                                                                • A. It selects a tool randomly unless hardcoded.
                                                                • B. It uses tool names, descriptions, and schemas.
                                                                • C. It selects the first registered tool by name.
                                                                • D. It calls every registered tool before answering.
                                                                Answer: B

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