Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
Contoso manufactures industrial sensors that each send a 2-KB JSON message every second, producing about 2 TB of data daily. Data engineers query the most recent 30 days from Azure Synapse Analytics with sub-minute latency to power operational dashboards. After 30 days, the data is seldom read, but regulations require it be retained and available for ad-hoc queries within a few minutes for seven years. You must design a cost-efficient storage solution that meets these requirements with minimal operational overhead. Which option should you recommend?
Store the telemetry in Azure Cosmos DB (Core SQL API) with analytical store enabled and set a 7-year time-to-live (TTL) policy.
Persist the data in an Azure Data Explorer cluster configured with a seven-year retention policy.
Ingest the telemetry into Azure Data Lake Storage Gen2 in the Hot access tier, then apply a lifecycle management rule that moves files to the Cool tier after 30 days and retains them for seven years.
Archive the telemetry directly to the Azure Blob Storage Archive tier and rehydrate data on demand when queries are required.
Azure Data Lake Storage (ADLS) Gen2 is built on Azure Blob storage and exposes a hierarchical namespace that lets services such as Azure Synapse Analytics query files directly without data movement, giving the required near-real-time analytics for the most recent data. Storing new telemetry in the Hot tier provides the lowest latency needed for dashboards. A built-in lifecycle management policy can automatically move objects to the Cool tier after 30 days, cutting storage costs while still allowing retrieval in milliseconds to seconds-well within the "within minutes" requirement-and keeping the data online for seven years.
Cosmos DB and Azure Data Explorer both deliver low-latency queries but would be significantly more expensive for a sustained 2 TB/day ingestion rate and multi-year retention. Placing all data directly into the Archive tier is the least expensive for storage, but retrieval from Archive can take hours, violating the availability-within-minutes requirement. Therefore, ADLS Gen2 with Hot-to-Cool tiering best balances features, performance, and cost.
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Microsoft Azure Solutions Architect Expert AZ-305
Design data storage solutions
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