Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
A factory ingests 5 million JSON telemetry events per hour (~15 GB), each with 50-100 varying properties. Engineers need ad-hoc queries on the latest seven days, returning results in under two seconds when filtering by deviceId and any property. Data older than 30 days moves to Azure Data Lake Storage. For hot data, select a storage service that 1) auto-indexes all JSON properties, 2) offers single-digit-millisecond read/write latency globally with SLA, and 3) provides elastic throughput with minimal admin. Which service meets these needs?
Azure Table storage with partition and row key based on deviceId and timestamp
Azure Data Lake Storage Gen2 with hierarchical namespace enabled
Azure Cosmos DB using the Core (SQL) API with provisioned or autoscale throughput
Azure SQL Database Hyperscale tier with JSON columns and secondary indexes
Azure Cosmos DB configured for the Core (SQL) API automatically indexes all JSON properties, so new or changing sensor attributes require no schema updates. The service offers single-digit-millisecond latency for reads and writes worldwide and a 99.999-percent availability SLA when multi-region writes are enabled. Provisioned or autoscale throughput allows the database to handle millions of events per second with minimal administration. Azure Table storage cannot deliver the required low-latency queries or automatic rich indexing. Azure Data Lake Storage Gen2 is optimized for batch analytics, not interactive queries. Azure SQL Database Hyperscale requires explicit schema and index management and is better suited to structured relational workloads.
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Microsoft Azure Solutions Architect Expert AZ-305
Design data storage solutions
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