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Oracle 1z0-1157-26 Exam Syllabus Topics:

Oracle Agentic AI Foundations Associate Sample Questions:

Question #1
When is MCP most valuable?

A. When defining prompts and output parsers inside a single LangChain chain.
B. For simple local utilities like add() and multiply() .
C. When building a single-agent app with no external dependencies.
D. When tools are external or cloud-hosted.

Question #2
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.

Question #3
Which approaches can generate embeddings for Oracle AI Vector Search workflows?

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

Question #4
Which value associates OCI Responses API requests with a specific OCI Generative AI Project?

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

Question #5
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 Runner performs all arithmetic internally without involving the model or tools
B. The model calls every available arithmetic tool before answering
C. The model calls multiply(15, 8), receives the result, then calls divide(120, 3)
D. The SDK automatically combines all arithmetic operations into a single tool call

Solutions: