We offer the latest DP-203 practice test designed for free and effective online Data Engineering on Microsoft Azure certification preparation. It's a simulation of the real DP-203 exam experience, built to help you understand the structure, complexity, and topics you'll face on exam day.
You have an Azure data factory.
You need to examine the pipeline failures from the last 180 days.
What should you use?
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1. Table1 contains the following:
✑ One billion rows
✑ A clustered columnstore index
✑ A hash-distributed column named Product Key
✑ A column named Sales Date that is of the date data type and cannot be null
Thirty million rows will be added to Table1 each month.
You need to partition Table1 based on the Sales Date column. The solution must optimize query performance and data loading.
How often should you create a partition?
You have an Azure Databricks workspace that contains a Delta Lake dimension table named Table1.
Table1 is a Type 2 slowly changing dimension (SCD) table.
You need to apply updates from a source table to Table1.
Which Apache Spark SQL operation should you use?
You have an Azure subscription that contains an Azure Data Lake Storage account named dl1 and an Azure Analytics Synapse workspace named workspace1.
You need to query the data in dl1 by using an Apache Spark pool named Pool1 in workspace1. The solution must ensure that the data is accessible Pool1.
Which two actions achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
You have an Azure Synapse Analytics dedicated SQL pool named pool1.
You plan to implement a star schema in pool and create a new table named DimCustomer by using the following code.
You need to ensure that DimCustomer has the necessary columns to support a Type 2 slowly changing dimension (SCD).
Which two columns should you add? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
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