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Oracle 1z0-1157-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: LangChain for AI Agents | 5% | - LangChain fundamentals and agent construction
|
| Topic 2: Model Context Protocol (MCP) Fundamentals | 15% | - MCP architecture and integration
|
| Topic 3: OCI Enterprise AI Agents | 25% | - OCI Enterprise AI platform and agent services
|
| Topic 4: Introduction to AI Agents | 15% | - AI agent fundamentals
|
| Topic 5: OpenAI Responses API and Agents SDK | 15% | - OpenAI agent stack
|
| Topic 6: Agentic AI for Oracle AI Database | 25% | - Oracle AI Database agentic AI capabilities
|
Oracle Agentic AI Foundations Associate Sample Questions:
In the given LangChain chain, what is the role of StrOutputParser()? chain = prompt
- A. StrOutputParser()
- B. It stores tool execution history.
- C. It sends the prompt to the model API.
- D. It extracts plain text from the model response.
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Why is chunking necessary before generating embeddings for large documents?
- A. To automatically encrypt content before indexing.
- B. To overcome token limits for large documents.
- C. To remove semantic meaning from the document.
- D. To convert text into SQL-compliant rows.
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What is the purpose of OCI Enterprise AI Governance?
- A. Monitoring model latency and optimizing inference throughput.
- B. Managing model versions and rolling back failed deployments.
- C. Applying guardrails, identity controls, and network security controls to AI workloads.
- D. Replacing the AI agent runtime layer.
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Which MCP primitive is model-controlled and used to perform actions?
- A. Schemas
- B. Tools
- C. Prompts
- D. Resources
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What is the high-level workflow for Oracle AI Vector Search?
- A. Generate embeddings - > Store vectors - > Create indexes - > Search and query - > Feed into LLM
- B. Generate embeddings - > Store vectors - > Search and query - > Feed into LLM
- C. Create indexes - > Generate embeddings - > Store vectors - > Feed into LLM - > Search and query
- D. Create indexes - > Search and query - > Feed into LLM - > Store vectors
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