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What is the primary objective of exploratory analytics?
What considerations are essential in planning a data analytics environment for effective scalability? (Select all that apply)
You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updated daily.
You create a Microsoft Power BI semantic model named Model1 that uses the CSV files as a data source. You configure incremental refresh for Model1 and publish the model to a Premium capacity in the Fabric tenant.
When you initiate a refresh of Model1, the refresh fails after running out of resources.
What is a possible cause of the failure?
Which practice contributes to optimizing data storage in a warehouse or lakehouse by reducing unnecessary data elements without data loss?
In a warehouse or lakehouse environment, what role does data profiling play in data management?
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