Data Engineering on Microsoft Azure
Last Update 4 days ago
Total Questions : 361
Data Engineering on Microsoft Azure is stable now with all latest exam questions are added 4 days ago. Incorporating DP-203 practice exam questions into your study plan is more than just a preparation strategy.
DP-203 exam questions often include scenarios and problem-solving exercises that mirror real-world challenges. Working through DP-203 dumps allows you to practice pacing yourself, ensuring that you can complete all Data Engineering on Microsoft Azure practice test within the allotted time frame.
What should you recommend to prevent users outside the Litware on-premises network from accessing the analytical data store?
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.
You have an Azure subscription that contains an Azure Synapse Analytics workspace named Workspaces a Log Analytics workspace named Workspace2, and an Azure Data Lake Storage Gen2 container named Container1.
Workspace1 contains an Apache Spark job named Job1 that writes data to Container1. Workspace1 sends diagnostics to Workspace2.
From Synapse Studio, you submit Job1.
What should you use to review the LogQuery output of the job?
What should you do to improve high availability of the real-time data processing solution?
You need to design an Azure Synapse Analytics dedicated SQL pool that meets the following requirements:
Can return an employee record from a given point in time.
Maintains the latest employee information.
Minimizes query complexity.
How should you model the employee data?
You have an Azure data factory that connects to a Microsoft Purview account. The data 'factory is registered in Microsoft Purview.
You update a Data Factory pipeline.
You need to ensure that the updated lineage is available in Microsoft Purview.
What should you do first?
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 ItemI
D.
Which command should you run to add the ItemID column to the external table?
You have an Azure subscription that contains a storage account. The account contains a blob container named blob1 and an Azure Synapse Analytic serve-less SQL pool
You need to Query the CSV files stored in blob1. The solution must ensure that all the files in a (older named csv and all its subfolders are queried
How should you complete the query? to answer, select the appropriate options in the answer area
NOTE: Each correct selection is worth one point.
You have two Azure Data Factory instances named ADFdev and ADFprod. ADFdev connects to an Azure DevOps Git repository.
You publish changes from the main branch of the Git repository to ADFdev.
You need to deploy the artifacts from ADFdev to ADFprod.
What should you do first?
You have an Azure Synapse Analytics dedicated SQL pool.
You need to Create a fact table named Table1 that will store sales data from the last three years. The solution must be optimized for the following query operations:
Show order counts by week.
• Calculate sales totals by region.
• Calculate sales totals by product.
• Find all the orders from a given month.
Which data should you use to partition Table1?
TESTED 18 Jun 2025
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