DP-203 Exam Dumps : Data Engineering on Microsoft Azure

You are designing a sales transactions table in an Azure Synapse Analytics dedicated SQL pool. The table will contains approximately 60 million rows per month and will be partitioned by month. The table will use a clustered column store index and round-robin distribution.

Approximately how many rows will there be for each combination of distribution and partition?

You have an Azure Synapse Analytics pipeline named Pipeline1 that contains a data flow activity named Dataflow1.

Pipeline1 retrieves files from an Azure Data Lake Storage Gen 2 account named storage1.

Dataflow1 uses the AutoResolveIntegrationRuntime integration runtime configured with a core count of 128.

You need to optimize the number of cores used by Dataflow1 to accommodate the size of the files in storage1.

What should you configure? To answer, select the appropriate options in the answer area.

You plan to develop a dataset named Purchases by using Azure databricks Purchases will contain the following columns:

• ProductID

• ItemPrice

• lineTotal

• Quantity

• StorelD

• Minute

• Month

• Hour

• Year

• Day

You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. the solution must minimize storage costs. How should you complete the rode? To answer, select the appropriate options In the answer area.

NOTE: Each correct selection is worth one point.