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Oracle 1z0-1157-26 Braindumps - in .pdf Free Demo

  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Last Updated: Sep 13, 2026
  • Q & A: 60 Questions and Answers
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Oracle 1z0-1157-26 Exam Syllabus Topics:

SectionWeightObjectives
OpenAI Responses API and Agents SDK15%- OpenAI agent stack
  • 1. Function calling and tools
    • 2. Multi-agent design patterns and handoffs
      • 3. Guardrails for validating inputs, outputs, and agent actions
        • 4. Agents SDK primitives: Agent, Runner, Tool, Handoffs, and Guardrails
          • 5. OpenAI Responses API for agentic applications
            LangChain for AI Agents5%- LangChain fundamentals and agent construction
            • 1. LangChain tools, prompts, and chains
              • 2. LangChain agent reasoning and tool execution flow
                • 3. LangChain core abstractions: chat models, prompts, tools, and agents
                  Model Context Protocol (MCP) Fundamentals15%- MCP architecture and integration
                  • 1. JSON-RPC 2.0 message format
                    • 2. MCP hosts, clients, servers, tools, resources, and prompts
                      • 3. Integrating MCP capabilities into agentic AI workflows
                        • 4. MCP transport options including stdio and Streamable HTTP
                          • 5. Role of MCP in standardizing integration between AI agents and external tools
                            Introduction to AI Agents15%- AI agent fundamentals
                            • 1. Differentiate AI agents from traditional chatbots and rule-based workflows
                              • 2. Safety considerations and guardrail techniques
                                • 3. Core components of an AI agent: LLM, tools, and orchestration loop
                                  • 4. Agent reasoning patterns: Chain-of-Thought and ReAct
                                    Agentic AI for Oracle AI Database25%- Oracle AI Database agentic AI capabilities
                                    • 1. Grounding agent responses with enterprise data from Oracle AI Database
                                      • 2. Select AI for natural-language interaction with Oracle AI Database
                                        • 3. Oracle AI Vector Search, Select AI, and MCP integration
                                          • 4. Oracle AI Vector Search workflow: document chunking, embedding generation, similarity search, and retrieval
                                            • 5. Oracle Autonomous AI Database MCP Server
                                              • 6. Oracle AI Database Private Agent Factory
                                                • 7. VECTOR data type, vector embeddings, and similarity search
                                                  OCI Enterprise AI Agents25%- OCI Enterprise AI platform and agent services
                                                  • 1. OCI Enterprise AI platform services for the enterprise AI agent lifecycle
                                                    • 2. OCI Enterprise AI Agents development, orchestration, and execution
                                                      • 3. OCI Enterprise AI Agents building blocks: Responses API, tools, memory, and vector stores
                                                        • 4. Deployment and scaling options
                                                          • 5. Building and running AI agents with OCI Enterprise AI Agents

                                                            Oracle Agentic AI Foundations Associate Sample Questions:

                                                            Question #1

                                                            Which standard MCP transport supports remote or network-accessible deployments where multiple clients may connect?

                                                            • A. Streamable HTTP
                                                            • B. Local Unix pipes only
                                                            • C. STDIO
                                                            • D. Raw TCP sockets
                                                            Answer: A

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

                                                            Question #2

                                                            Which approaches are supported by OCI Enterprise AI Agents?

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

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

                                                            Question #3

                                                            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

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

                                                            Question #4

                                                            Agent has multiply(a,b) and divide(a,b) . User: "What is 15 multiplied by 8, then divided by 3?" How does the OpenAI Agents SDK handle this?

                                                            • A. The model calls multiply(15, 8) , receives the result, then calls divide(120, 3) .
                                                            • B. The model calls every available arithmetic tool before answering.
                                                            • C. The Runner performs all arithmetic internally without involving the model or tools.
                                                            • D. The SDK automatically combines all arithmetic operations into a single tool call.
                                                            Answer: A

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

                                                            Question #5

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

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

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