1Z0-1127-25 is a generative-AI workflow and judgment exam. Strong answers usually come from separating model capability, grounding strategy, data handling, and deployment responsibility instead of treating all GenAI problems as prompt-writing problems.
Grounding: Supplying relevant external context so model output is anchored to useful source material.
Inference: Using a trained model to generate output or predictions from new input.
What this guide emphasizes
OCI Generative AI service boundaries and adjacent Data Science support paths
grounding, inference, prompt design, and data-handling reasoning
safety, reliability, and evaluation concerns in generative workflows
common exam traps around product capability versus underlying model concepts
What strong answers usually do
identify whether the issue is prompt behavior, grounding, model/service fit, or operational delivery
separate what happens at inference time from what requires training or fine-tuning
prefer answers that improve output quality without creating unnecessary complexity
keep safety, evaluation, and data handling in scope instead of focusing only on generation