Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Question # 47 Topic 5 Discussion

Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Question # 47 Topic 5 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Topic 5 Question 47 Discussion:
Question #: 47
Topic #: 5

Which of the following code blocks displays various aggregated statistics of all columns in DataFrame transactionsDf, including the standard deviation and minimum of values in each column?


A.

transactionsDf.summary()


B.

transactionsDf.agg("count", "mean", "stddev", "25%", "50%", "75%", "min")


C.

transactionsDf.summary("count", "mean", "stddev", "25%", "50%", "75%", "max").show()


D.

transactionsDf.agg("count", "mean", "stddev", "25%", "50%", "75%", "min").show()


E.

transactionsDf.summary().show()


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