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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Question 1

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

                                                                A. VECTOR_DISTANCE()
                                                                B. SCORE_SIMILARITY()
                                                                C. EMBEDDING_DISTANCE()
                                                                D. VECTOR_SCORE()


                                                                Question 2

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

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


                                                                Question 3

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

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


                                                                Question 4

                                                                Which OCI services are used for observability and auditing of deployed AI agents?

                                                                A. OCI Events, OCI Functions, and OCI Vault
                                                                B. OCI Streaming, OCI Queue, and OCI Email Delivery
                                                                C. OCI Logging, OCI Monitoring, and OCI Audit
                                                                D. OCI Data Catalog, OCI Search, and OCI DNS


                                                                Question 5

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

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


                                                                Solutions:

                                                                Question 1
                                                                Answer: A
                                                                Question 2
                                                                Answer: B
                                                                Question 3
                                                                Answer: D
                                                                Question 4
                                                                Answer: C
                                                                Question 5
                                                                Answer: D

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