DP-600 Exam Question 86
Hotspot Question
You have a Fabric workspace named Workspace1 that uses the Premium Per User (PPU) license mode and contains a semantic model named Model1.
Large semantic model storage format is selected for Model1.
You need to ensure that tables imported into Model1 are written automatically to Delta tables in OneLake.
What should you do for Model1 and Workspace1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have a Fabric workspace named Workspace1 that uses the Premium Per User (PPU) license mode and contains a semantic model named Model1.
Large semantic model storage format is selected for Model1.
You need to ensure that tables imported into Model1 are written automatically to Delta tables in OneLake.
What should you do for Model1 and Workspace1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
DP-600 Exam Question 87
You are analyzing the data in a Fabric notebook.
You have a Spark DataFrame assigned to a variable named df.
You need to use the Chart view in the notebook to explore the data manually.
Which function should you run to make the data available in the Chart view?
You have a Spark DataFrame assigned to a variable named df.
You need to use the Chart view in the notebook to explore the data manually.
Which function should you run to make the data available in the Chart view?
DP-600 Exam Question 88
You have a Fabric tenant that contains a lakehouse named Lakehouse1. You plan to use Dataflow Gen2 to ingest and transform data from an Azure SQL Database into Lakehouse1.
Which language should you use to transform the data in the dataflow?
Which language should you use to transform the data in the dataflow?
DP-600 Exam Question 89
You have a Fabric tenant that contains a lakehouse named Lakehouse1. You have an external Snowflake database that contains a table with 200 million rows. You need to use a data pipeline to migrate the database to Lakehouse1.
What is the most performant (fastest) method for ingesting data this large (200 million rows) by using a data pipeline?
What is the most performant (fastest) method for ingesting data this large (200 million rows) by using a data pipeline?
DP-600 Exam Question 90
Drag and Drop Question
You have Fabric tenant that contains a semantic model named Model1. Model1 contains the following tables.
You are designing a Microsoft Power BI report named Report1 that will deliver near-real-time (NRT) shipping data. Report1 will contain data about many shipped packages.
You need to ensure that each table is in the appropriate storage mode to support Report1. The solution must support near-real-time data delivery while maintaining high query performance.
Which storage mode should you select for each table? To answer, drag the appropriate storage modes to the correct tables. Each mode may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
You have Fabric tenant that contains a semantic model named Model1. Model1 contains the following tables.
You are designing a Microsoft Power BI report named Report1 that will deliver near-real-time (NRT) shipping data. Report1 will contain data about many shipped packages.
You need to ensure that each table is in the appropriate storage mode to support Report1. The solution must support near-real-time data delivery while maintaining high query performance.
Which storage mode should you select for each table? To answer, drag the appropriate storage modes to the correct tables. Each mode may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
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