Oracle · 1Z0-1157-26
Validates foundational knowledge of agentic AI concepts including autonomous AI agents, reasoning patterns, and the OCI Enterprise AI platform. Covers practical frameworks such as LangChain, Model Context Protocol (MCP), and OpenAI-compatible tooling for building AI agent solutions.
Practice Questions
400
≈ 6 practice exams
Duration
60 minutes
Passing Score
65%
Difficulty
AssociateLast Updated
Oct 2026
Use this 1Z0-1157-26 practice exam to prepare for Oracle Agentic AI Foundations Associate (1Z0-1157-26) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 400 questions for Oracle 1Z0-1157-26, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Agentic AI Fundamentals, Reasoning Patterns and Agent Design, LangChain Framework, Model Context Protocol (MCP), and OCI Enterprise AI Platform. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are written for candidates preparing for Oracle certification questions and reviewing how the concepts apply in practice. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
5 sample questions with answers and explanations. The full bank has 400 questions, enough for 6 full-length practice exams.
Preview — answers shown1. A service portal needs separate, managed interaction contexts for multiple employees using the same HR assistant. Which capability should be selected? (Select one!)
Explanation
Sessions are OCI-provided capabilities for operating enterprise-agent interactions in managed contexts. Instructions direct behavior, hosted endpoints provide agent access, and knowledge bases provide content. The supplied material lists memory and sessions separately, so neither should be treated as the other.
2. For a legal-research assistant, which item should the organization provide so answers can draw on its approved internal policy material? (Select one!)
Explanation
A knowledge base is application-owned content that the agent should use when pursuing its task. A sandboxed runtime supports tool execution, logging supports operations, and a hosted endpoint makes the agent available; none is the approved knowledge source itself.
3. During an audit, a team needs operational records that help it understand how an enterprise agent behaved after deployment. Which OCI-provided capability is most relevant? (Select one!)
Explanation
Logging is an OCI-provided operational capability that supports observing an enterprise agent in use. Instructions, knowledge bases, and intended outcomes establish how the agent should behave and what it should accomplish, but they are application-owned configuration rather than operational records.
4. Contoso wants an agent to retrieve approved HR policy content before answering employee questions. Which application-owned component should Contoso supply? (Select one!)
Explanation
A knowledge base is supplied by the application owner and represents the information the agent should use. Memory, sandboxed tools, and scaling are OCI-provided operational capabilities; none of them substitutes for selecting and providing the enterprise content used for grounded answers.
5. Brightline Insurance says its claims assistant should reduce manual triage by identifying cases that need specialist review. What does this requirement define? (Select one!)
Explanation
An intended outcome specifies the result the organization wants the agent to achieve, here reducing triage through appropriate case identification. Integrations connect operating capabilities, while memory and sessions support runtime behavior rather than defining the business result.
$17.99
One-time access to this exam