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Implementing Data Engineering Solutions Using Azure Databricks

Topic 1

Question 86

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You are the platform engineer for the Contoso lakehouse on Azure Databricks. Finance has asked you to produce a chargeback report that shows the total DBU consumption attributed to the `cost_center` of `analytics-eu` across all classic compute and serverless jobs over the last 30 days. You have already enforced a custom cluster tag named `cost_center` through a compute policy, and the tag also propagates to serverless usage through a serverless usage policy. You need to query the appropriate Unity Catalog system table so the report attributes usage to that custom tag. Which query returns the correct chargeback figure? ```sql -- Option A SELECT sku_name, usage_unit, SUM(usage_quantity) AS usage FROM system.billing.usage WHERE custom_tags['cost_center'] = 'analytics-eu' AND usage_date >= current_date() - INTERVAL 30 DAYS GROUP BY sku_name, usage_unit; ``` ```sql -- Option B SELECT SUM(usage_quantity) AS usage FROM system.compute.clusters WHERE tags['cost_center'] = 'analytics-eu'; ``` ```sql -- Option C SELECT SUM(EstimatedCost) AS usage FROM system.access.audit WHERE ServiceName = 'clusters' AND cost_center = 'analytics-eu'; ``` ```sql -- Option D SELECT SUM(usage_quantity) AS usage FROM system.billing.list_prices WHERE custom_tags['cost_center'] = 'analytics-eu'; ```

  • AOption A — query `system.billing.usage`, filter on `custom_tags['cost_center']`
  • BOption B — query `system.compute.clusters`, filter on `tags['cost_center']`
  • COption C — query `system.access.audit`, filter on a `cost_center` column
  • DOption D — query `system.billing.list_prices`, filter on `custom_tags['cost_center']`