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Oracle 1z0-1157-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI Agents | - AI agent fundamentals and architecture
|
| Topic 2: LangChain for AI Agents | - LangChain fundamentals
|
| Topic 3: Agentic AI for Oracle AI Database | - Oracle AI Database agentic AI capabilities
|
| Topic 4: OpenAI Responses API and Agents SDK | - OpenAI agent development
|
| Topic 5: Introduction to MCP | - Model Context Protocol fundamentals
|
| Topic 6: OCI Enterprise AI Agents | - OCI Enterprise AI platform
|
Oracle Agentic AI Foundations Associate Sample Questions:
What integration problem does MCP address?
- A. Latency in cloud-hosted models
- B. GPU memory fragmentation during inference
- C. N × M custom-connector problem between AI apps and tools
- D. Token-limit problem in large language models
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Why are docstrings especially important when defining LangChain tools with the @tool decorator?
- A. They tell the LLM when and how to use the tool.
- B. They determine which API provider LangChain uses.
- C. They encrypt tool arguments before execution.
- D. They improve Python execution speed.
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What is the default distance metric for VECTOR_DISTANCE in Oracle for non-BINARY vectors?
- A. COSINE distance
- B. Euclidean (L2) distance
- C. Levenshtein edit distance
- D. Bitwise XOR distance
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What is the architectural advantage of Autonomous AI Database MCP Server over a separately deployed third- party MCP server?
- A. It eliminates the need for SQL queries entirely.
- B. It uses a common MCP host for all database connections.
- C. It moves all query execution to a separate compute tier outside the database.
- D. It reduces operational overhead and enforces security inside the database.
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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 model calls every available arithmetic tool before answering
- B. The model calls multiply(15, 8), receives the result, then calls divide(120, 3)
- C. The SDK automatically combines all arithmetic operations into a single tool call
- D. The Runner performs all arithmetic internally without involving the model or tools
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