Oracle 1z0-1157-26 Q&A - in .pdf

  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
  • Updated: Sep 19, 2026
  • Q & A: 60 Questions and Answers
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  • Exam Code: 1z0-1157-26
  • Exam Name: Agentic AI Foundations Associate
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  • Q & A: 60 Questions and Answers
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Oracle 1z0-1157-26 Exam Syllabus Topics:

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

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Question #1

                                                                Which statement describes the STDIO transport in MCP?

                                                                • A. STDIO transport serializes messages as plain text rather than JSON
                                                                • B. The host launches the server as a local subprocess communicating via stdin and stdout
                                                                • C. STDIO transport requires OAuth authentication for all requests
                                                                • D. The server runs as an HTTP service intended for remote multi-client deployments
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                Question #2

                                                                What integration problem does MCP address?

                                                                • A. Token-limit problem in large language models
                                                                • B. GPU memory fragmentation during inference
                                                                • C. Latency in cloud-hosted models
                                                                • D. N × M custom-connector problem between AI apps and tools
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: D  🗳️

                                                                Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                Question #3

                                                                What is the high-level workflow for Oracle AI Vector Search?

                                                                • A. Create indexes - > Search and query - > Feed into LLM - > Store vectors
                                                                • B. Generate embeddings - > Store vectors - > Create indexes - > Search and query - > Feed into LLM
                                                                • C. Generate embeddings - > Store vectors - > Search and query - > Feed into LLM
                                                                • D. Create indexes - > Generate embeddings - > Store vectors - > Feed into LLM - > Search and query
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                Question #4

                                                                In the given LangChain chain, what is the role of StrOutputParser()? chain = prompt

                                                                • A. It sends the prompt to the model API.
                                                                • B. It extracts plain text from the model response.
                                                                • C. StrOutputParser()
                                                                • D. It stores tool execution history.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                Question #5

                                                                Which statement describes an MCP Host?

                                                                • A. It defines the protocol messages between clients and servers.
                                                                • B. Coordinates the LLM, user interaction, and MCP client connections to servers.
                                                                • C. It is the external REST API wrapped by the MCP server.
                                                                • D. It executes tool implementations directly and returns results to the LLM.
                                                                Reveal Solution  Discussion  0

                                                                Correct Answer: B  🗳️

                                                                Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

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