Prepare and pass your Microsoft Certified: Fabric Analytics Engineer Associate with free DP-600 exam questions.
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You have a Fabric tenant that contains a new semantic model in OneLake.
You use a Fabric notebook to read the data into a Spark DataFrame.
You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.
Solution: You use the following PySpark expression:
df.explain()
Does this meet the goal?
What is the purpose of the GROUP BY clause in SQL?
What is the primary role of hierarchies in semantic models when considering data analysis and visualization?
What is the primary function of the ORDER BY clause in SQL?
In a lakehouse architecture, which component provides a unified interface for managing and querying data stored in various formats and locations?
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