Data Engineering on Microsoft Azure
Last Update Apr 3, 2025
Total Questions : 355
To help you prepare for the DP-203 Microsoft exam, we are offering free DP-203 Microsoft exam questions. All you need to do is sign up, provide your details, and prepare with the free DP-203 practice questions. Once you have done that, you will have access to the entire pool of Data Engineering on Microsoft Azure DP-203 test questions which will help you better prepare for the exam. Additionally, you can also find a range of Data Engineering on Microsoft Azure resources online to help you better understand the topics covered on the exam, such as Data Engineering on Microsoft Azure DP-203 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Microsoft DP-203 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.
You have an Azure Synapse Analytics dedicated SQL pool that contains a large fact table. The table contains 50 columns and 5 billion rows and is a heap.
Most queries against the table aggregate values from approximately 100 million rows and return only two columns.
You discover that the queries against the fact table are very slow.
Which type of index should you add to provide the fastest query times?
You have an enterprise data warehouse in Azure Synapse Analytics.
Using PolyBase, you create an external table named [Ext].[Items] to query Parquet files stored in Azure Data Lake Storage Gen2 without importing the data to the data warehouse.
The external table has three columns.
You discover that the Parquet files have a fourth column named ItemID.
Which command should you run to add the ItemID column to the external table?
Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
What should you recommend to prevent users outside the Litware on-premises network from accessing the analytical data store?
TESTED 04 Apr 2025
