Agentic AI Foundations Associate: 1z0-1157-26 Exam

"Agentic AI Foundations Associate", also known as 1z0-1157-26 exam, is a Oracle Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 60 Q&As to your 1z0-1157-26 Exam preparation. In the 1z0-1157-26 exam resources, you will cover every field and category in Oracle Certification Certification helping to ready you for your successful Oracle Certification.

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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Certification Provider: Oracle
  • Corresponding Certification: Oracle Certification
  • Updated: Sep 10, 2026
  • No. of Questions: 60 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                            Oracle Agentic AI Foundations Associate Sample Questions:

                                                            Question 1

                                                            In the OpenAI Agents SDK, when are input guardrails and output guardrails evaluated?

                                                            A. Input guardrails run before the agent processes input; output guardrails run before the response is returned.
                                                            B. Input guardrails and output guardrails both are evaluated only before the model receives user input.
                                                            C. Input guardrails and output guardrails run only if explicitly triggered by the model.
                                                            D. Input guardrails and output guardrails both are evaluated only after the final response is generated.


                                                            Question 2

                                                            What is an embedding in a semantic search workflow?

                                                            A. A type of SQL JOIN designed for nested tables.
                                                            B. A database trigger that fires before INSERT.
                                                            C. A compressed video file format used by streaming services.
                                                            D. A vector produced by a neural network.


                                                            Question 3

                                                            What is the purpose of OCI Enterprise AI Governance?

                                                            A. Applying guardrails, identity controls, and network security controls to AI workloads.
                                                            B. Replacing the AI agent runtime layer.
                                                            C. Monitoring model latency and optimizing inference throughput.
                                                            D. Managing model versions and rolling back failed deployments.


                                                            Question 4

                                                            Which value associates OCI Responses API requests with a specific OCI Generative AI Project?

                                                            A. VCN OCID
                                                            B. Project OCID
                                                            C. Object Storage bucket name
                                                            D. Tenancy display name


                                                            Question 5

                                                            Which responsibilities are handled by OCI Enterprise AI Agents?

                                                            A. Routing requests between OCI compute instances and storage buckets.
                                                            B. Managing hosted endpoints, runtime scaling, session management, and observability.
                                                            C. Chunking and indexing documents for retrieval-augmented generation.
                                                            D. Defining the user prompt and instructions for the database.


                                                            Solutions:

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

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