Three full-length practice tests for the Oracle Cloud Infrastructure Enterprise AI Professional (1Z0-1158-26) certification exam - 50 questions per test, 90 minutes, 68% to pass, unlimited retakes.
Every question is grounded in Oracle's official exam objectives and product documentation - written fresh for this course, not recycled from public dumps.
What you'll be tested on
- Designing enterprise-scale generative AI solutions on OCI
- OCI Generative AI service: model selection, fine-tuning, and dedicated AI clusters
- Retrieval-augmented generation architectures and vector search with OCI 23ai
- Integrating AI Services (Language, Vision, Speech) into enterprise applications
- Security, cost governance, and responsible AI practices for production workloads
Where candidates lose points
This is one of Oracle's newest professional certifications, tied to the OCI Enterprise AI platform that reached general availability in 2026, so there isn't much public pass-rate data yet. Based on the platform's scope, the areas most likely to trip candidates up are the ones that combine multiple moving parts - configuring governance and guardrails consistently across model endpoints, and reasoning about when to rely on managed model access versus importing and hosting a custom model on a dedicated AI cluster. Candidates who've only worked with the standalone Generative AI service and haven't touched the newer agent, tooling, and governance layer should expect that gap to show up on the exam.
Sample question
An enterprise team wants to give a hosted AI agent access to internal knowledge without exposing raw customer records to the underlying language model. Which approach best reduces this risk while keeping responses grounded in the internal data?
- A. Increase the model's context window so more documents can be pasted directly into every prompt
- B. Retrieval-augmented generation over a governed vector store, with guardrails on both retrieval and generation
- C. Fine-tune the base model on the raw records and remove access controls afterward
- D. Disable logging so the agent's inputs and outputs are never inspected
Full explanations and 149 more questions like this are in the practice tests.
How long to prepare
Because this certification builds on the OCI Generative AI and Enterprise AI platform rather than starting from zero, candidates with prior hands-on exposure to OCI's generative AI or agent tooling should plan for roughly 3-5 weeks of focused study. Without that background, budget extra time to get hands-on with the platform itself before attempting the exam.
