Microsoft Data Engineering interview questions

Three of the questions

1. Walk me through how you'd design a service that moves large volumes of data from various source systems to target systems with minimal latency, while also exposing a data-centric orchestration layer on top. What are the key components you'd need?
   Technical depth · from the posting: “designing, building, and operating a next generation service that transfers large volumes of data from various source systems to target systems with minimal latency while providing a data centric orchestration platform”
2. You're on-call for the Fabric Materialized Lake View service. Customers start reporting that their dashboards show stale data even though the system says the view refreshed successfully. How do you investigate?
   Scenarios & troubleshooting · from the posting: “Fabric Materialized Lake Views, which automatically refresh analytical data in Microsoft Fabric so customers can query up-to-date results without manual pipelines”
3. Tell me about a time you owned a component end-to-end—from requirements through development, testing, deployment, and post-deployment support. What was the hardest part?
   Behavioural · from the posting: “Owning the components and driving them end to end, all the way from gathering requirements, development, testing, deployment to ensuring high quality and availability post deployment”