Implement generative AI solutions
Practise only this domain. 35 questions with explanations, 20 at a time.
Start this domainSample questions
- A nightly job feeds model output into a billing parser that crashes whenever a field is missing or renamed. Which prompt adjustment would most reduce these failures?Easy
- An enterprise search assistant gives wrong answers for about 5% of questions. The team cannot tell whether the search layer returned the wrong passages, the prompt template dropped them, or the model misread them. Which capability would isolate the failing stage?Hard
- A bank wants customers to ask questions about their scanned mortgage statements and receive answers with amounts pulled from specific form fields. The statements arrive as image-based PDFs. Which pipeline is most appropriate?Hard
- An enterprise wants several generative AI solutions to share one set of approved model connections and governance policies, while each solution keeps its own datasets, evaluations and deployments. What structure fits in Microsoft Foundry?Easy
- A knowledge-base team evaluates a grounded question-answering pipeline and wants a score that shows whether each claim in a generated reply is backed by the retrieved context. Which metric should they report?Medium
- A maintenance assistant for technicians must answer from the latest service bulletins and also explain a photo of a worn gearbox the technician uploads. Which architecture is the best fit?Hard