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Implementing Data Engineering Solutions Using Azure Databricks

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You manage Databricks SQL for the analytics team at Litware. A team of business analysts connects Power BI and the Databricks SQL editor to Unity Catalog tables. Their usage is highly variable: long idle gaps between meetings, followed by short bursts where 20+ concurrent queries arrive at once and must return quickly. The region supports serverless SQL warehouses and the workspace meets all serverless requirements. You must choose a SQL warehouse type that: - Starts in a few seconds after an idle period so analysts are not blocked. - Automatically and rapidly scales out to absorb sudden query concurrency, then scales back down to minimize cost. - Supports Photon, Predictive I/O, and Intelligent Workload Management. Which SQL warehouse type should you choose?

  • AClassic SQL warehouse
  • BPro SQL warehouse
  • CServerless SQL warehouse
  • DClassic all-purpose compute with a Photon-enabled Databricks Runtime
  • EA serverless jobs cluster running SQL tasks