OCI Enterprise AI 1Z0-1158-26: Agent Scenario Practice Tests

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About Course

This course contains the use of artificial intelligence.

A working chat prototype leaves several production questions unanswered: who runs a requested tool, whether uploaded knowledge is searchable, how memory is separated and which controls actually enforce policy. Practise resolving those questions from the request, trace and deployment conditions.

These tests prepare you for Oracle Cloud Infrastructure Enterprise AI Professional 2026, exam 1Z0-1158-26.

Move from model selection to governed agents

The questions connect LLM and agent concepts with model selection, customisation, dedicated serving, Responses, tools, grounding, memory, hosted agents and operations. Context-budget tasks require you to account for both input and reserved output; migration scenarios show why a different tokenizer can change the budget even when the document is unchanged.

Every option has feedback, with an overall explanation and study topic. You can examine the difference between a model requesting a function and an application executing it, or between detecting a policy issue and preventing the action.

The course contains 360 original questions in four focused tests and two 50-question, 90-minute mocks. The two mock allocations average to the six published domain weights; each paper approximates the fractional counts.

Follow the evidence through the request

Begin with the diagnostic and foundations, then practise model choices, tool and knowledge integration, and hosted operations. Record the missing condition behind each error and revisit Oracle's learning material. Use the mocks to combine those decisions under time pressure.

The 80% course target is a learning checkpoint, separate from Oracle's published 68% passing score. The course follows the Enterprise AI 2026 scope, rather than the older Generative AI examination.

Basic Python, machine-learning and OCI familiarity is expected. No cloud lab, video lessons or exam voucher is included. This independent preparation is not endorsed by Oracle and does not supply live exam questions or a guaranteed result.

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TRY BEFORE YOU CHOOSE

Three questions. A clearer next step.

Explore original questions and explanations. No account or payment required.

What Will You Learn?

  • Choose suitable LLM architectures, prompt constraints and adaptation approaches for stated tasks.
  • Trace agent loops and distinguish adaptive decisions from fixed workflows.
  • Match OCI model capabilities, customization data, hyperparameters and serving resources to workload constraints.
  • Interpret OCI Responses tool-result contracts, MCP boundaries, grounding pipelines and memory policies.
  • Diagnose hosted-agent deployment, networking, storage and autoscaling decisions.
  • Apply IAM, data-protection, guardrail, observability and cost principles to production scenarios.

Course Content

Practice tests

  • Diagnostic and LLM/Agent Foundations
  • Model Selection, Customization and Dedicated Serving
  • Responses, Tools, Grounding and Memory
  • Hosted Agents, Governance and Operations
  • Timed Mock 1 — Integration and Recovery
  • Timed Mock 2 — Boundaries and Production Decisions