You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.You need to identify whether maintenance tasks were performed on Customer. Solution: You run the following Spark SQL statement:EXPLAIN TABLE customerDoes this meet the goal?
You have a Fabric tenant that contains a warehouse.Several times a day. the performance of all warehouse queries degrades. You suspect that Fabric is throttling the compute used by the warehouse.What should you use to identify whether throttling is occurring?
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.What can you identify about the pickupLongitude column?
You have a Fabric tenant named Tenant1 that contains a workspace named WS1. WS1 uses a capacity named C1 and contains a dawset named DS1. You need to ensure read-write access to DS1 is available by using the XMLA endpoint. What should be modified first?
You have a Fabric tenant that contains a semantic model.You need to prevent report creators from populating visuals by using implicit measures.What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.NOTE: Each correct answer is worth one point.