Hard DP-900 practice questions
Challenge — multi-step scenarios, trade-offs, and subtle distinctions. 3 hard questions available — no sign-up, always free.
A banking application uses Azure Cosmos DB replicated across multiple regions. The development team requires that every read always returns the most recent committed write, guaranteeing that account balances are never read as stale, even at the cost of higher latency. Which Cosmos DB consistency level should they configure?
A retail company is designing a container in Azure Cosmos DB to store millions of customer orders. They want queries to perform well and want their data and request throughput spread evenly across physical partitions to avoid 'hot' partitions. Which design decision most directly helps achieve this even distribution?
A retail company stores operational order data in Azure Cosmos DB. Analysts want to run large-scale analytical queries over this operational data without writing custom ETL pipelines and without adding read load or affecting the performance of the transactional application. Which capability should they use?