Microsoft Azure Data Fundamentals DP-900 Practice Question
Your company must store and query high-volume JSON telemetry produced every second by millions of smart meters installed across several continents. The solution must replicate data automatically to multiple Azure regions and deliver single-digit millisecond read and write latency to customers worldwide. Which Azure data service is the most appropriate choice for this workload?
Azure Cosmos DB is designed for globally distributed, mission-critical applications that demand automatic multi-region replication, elastic scalability, and single-digit millisecond latency for reads and writes. It natively stores semi-structured data such as JSON documents, making it well suited to IoT telemetry from smart meters. Azure SQL Database focuses on relational workloads and does not offer the same transparent multi-master global distribution or latency guarantees. Azure Data Lake Storage Gen2 is optimized for cost-effective analytics on large volumes of data, not for low-latency operational access. Azure Synapse Analytics Dedicated SQL pool targets petabyte-scale analytical queries rather than high-velocity operational ingestion and globally distributed access.
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Microsoft Azure Data Fundamentals DP-900
Describe considerations for working with non-relational data on Azure
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