Oracle 1z0-1157-26 dumps - in .pdf

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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 09, 2026
  • Q & A: 60 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 09, 2026
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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 09, 2026
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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                            Oracle Agentic AI Foundations Associate Sample Questions:

                                                            Question 1

                                                            Which approaches can generate embeddings for Oracle AI Vector Search workflows?

                                                            A. Use ONNX models in-database or external REST-based embedding providers
                                                            B. Train a custom embedding model and manually insert vectors row by row
                                                            C. Export data to a Python environment, generate embeddings, then reimport via SQL Loader
                                                            D. Use external REST APIs exclusively, since in-database embedding is not supported


                                                            Question 2

                                                            Why are docstrings especially important when defining LangChain tools with the @tool decorator?

                                                            A. They encrypt tool arguments before execution.
                                                            B. They tell the LLM when and how to use the tool.
                                                            C. They improve Python execution speed.
                                                            D. They determine which API provider LangChain uses.


                                                            Question 3

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

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


                                                            Question 4

                                                            In the OpenAI Agents SDK, how does a Handoff differ from the Manager pattern?

                                                            A. A Handoff calls tools directly; a Manager only routes messages.
                                                            B. A Handoff transfers control; a Manager keeps control.
                                                            C. A Handoff uses async execution; a Manager uses sync execution.
                                                            D. A Handoff keeps control; a Manager transfers control.


                                                            Question 5

                                                            What is the strategic theme behind agentic AI capabilities in Oracle AI Database?

                                                            A. Removing SQL functionality in favor of REST APIs
                                                            B. Replacing the database with a vector-only system
                                                            C. Bringing AI capabilities natively into the database.
                                                            D. Selling vector products without database integration


                                                            Solutions:

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

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