Implementing Analytics Solutions Using Microsoft Fabric — Question 44

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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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.show()
Does this meet the goal?

Answer options

Correct answer: B

Explanation

The command df.show() merely displays the contents of the DataFrame and does not perform any statistical calculations. Therefore, it does not fulfill the requirement of calculating min, max, mean, and standard deviation values. The correct approach would involve using functions like min(), max(), mean(), and stddev() for the analysis.