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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Last Updated: Sep 14, 2026
  • Q & A: 60 Questions and Answers
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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                            Oracle Agentic AI Foundations Associate Sample Questions:

                                                            Question #1

                                                            Which statement describes use cases for input guardrails in the OpenAI Agents SDK?

                                                            • A. Filtering which tools the agent is allowed to call based on user role.
                                                            • B. Logging all user inputs to an audit trail for compliance reporting.
                                                            • C. Validating input, detecting unsafe content, and blocking prompt-injection attempts.
                                                            • D. Checking that the agent's final response meets quality and safety thresholds.
                                                            Answer: C

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

                                                            Question #2

                                                            Which tasks is handled automatically by LangChain when using agent.invoke()?

                                                            • A. Building tool schemas, parsing tool calls, and orchestrating execution loops.
                                                            • B. Optimizing GPU memory allocation and distributing model inference across hardware accelerators.,,
                                                            • C. Managing conversation state, formatting API requests, and routing tool execution across the agent loop.
                                                            • D. Training the foundation model from scratch.
                                                            Answer: A

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

                                                            Question #3

                                                            Assume an agent has access to the tools multiply(a, b) and divide(a, b). A user asks: "What is 15 multiplied by
                                                            8, then divided by 3?" In the OpenAI Agents SDK, how does the agent loop handle this multi-step task?

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

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

                                                            Question #4

                                                            Which message format does MCP use for client-server communication?

                                                            • A. SOAP/XML
                                                            • B. GraphQL
                                                            • C. JSON-RPC 2.0
                                                            • D. Protocol Buffers
                                                            Answer: C

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

                                                            Question #5

                                                            In the OpenAI Agents SDK, what is the role of the Runner?

                                                            • A. It defines JSON schemas for function tools at compile time.
                                                            • B. It executes the agent loop.
                                                            • C. It is the deployment platform for hosting agents in production.
                                                            • D. It handles authentication and rotates API keys for the agent.
                                                            Answer: B

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

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