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Oracle 1z0-1157-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Introduction to AI Agents | 15% | - AI agent fundamentals
|
| OCI Enterprise AI Agents | 25% | - OCI Enterprise AI platform and agent services
|
| OpenAI Responses API and Agents SDK | 15% | - OpenAI agent stack
|
| Model Context Protocol (MCP) Fundamentals | 15% | - MCP architecture and integration
|
| LangChain for AI Agents | 5% | - LangChain fundamentals and agent construction
|
| Agentic AI for Oracle AI Database | 25% | - Oracle AI Database agentic AI capabilities
|
Oracle Agentic AI Foundations Associate Sample Questions:
Question 1
Which behavior is NOT a characteristic of modern LLM-based AI agents?
A. Adjusting behavior based on observations
B. Requiring every execution path to be predefined
C. Pursuing goals across multiple steps
D. Using external APIs or databases
Question 2
Which statement describes use cases for input guardrails in the OpenAI Agents SDK?
A. Filtering which tools the agent is allowed to call based on user role.
B. Checking that the agent's final response meets quality and safety thresholds.
C. Validating input, detecting unsafe content, and blocking prompt-injection attempts.
D. Logging all user inputs to an audit trail for compliance reporting.
Question 3
What occurs during the MCP initialization phase?
A. The client and server exchange protocol versions and supported capabilities.
B. The server executes all tools once to warm internal caches.
C. The LLM is fine-tuned using the server's tool definitions.
D. The client completes user authentication as part of the protocol initialization exchange.
Question 4
What is the strategic theme behind agentic AI capabilities in Oracle AI Database?
A. Replacing the database with a vector-only system
B. Removing SQL functionality in favor of REST APIs
C. Bringing AI capabilities natively into the database.
D. Selling vector products without database integration
Question 5
What is Oracle AI Database Private Agent Factory?
A. A backup utility for embeddings
B. A no-code platform for building agents
C. A hardware appliance for training models on-premises
D. A managed orchestration layer for deploying to Kubernetes
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: B |
