Crucial Exams

Microsoft Azure Solutions Architect Expert AZ-305 Practice Question

Contoso ingests about 3 TB of JSON-formatted diagnostics per day from IoT devices. Engineers run ad-hoc queries that require sub-second response time against the most recent seven days of data. Entries older than 30 days are rarely accessed and can be stored in a lower-cost tier, provided they remain available within minutes when needed. You must recommend an Azure-native solution that minimizes management effort and overall cost while meeting performance goals. What should you propose?

  • Deploy Azure Data Explorer with a caching policy that keeps seven days of data in hot cache, set a 30-day retention period, configure continuous export to Azure Data Lake Storage Gen2, and apply a lifecycle rule to move exported files to the cool access tier after 30 days.

  • Use Azure Cosmos DB Core (SQL) API with analytical store enabled and set time-to-live (TTL) to 30 days to remove old data automatically.

  • Store all diagnostics in Azure Blob Storage hot access tier and index them with Azure Cognitive Search for fast querying.

  • Provision Azure SQL Database Hyperscale and rely on long-term backup retention to lower the cost of data older than 30 days.

Microsoft Azure Solutions Architect Expert AZ-305
Design data storage solutions
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