Exam DP-500 topic 1 question 108 discussion

Correct answer is Summary. Corr shows correlation between columns and it has nothing to do with data distribution statistics. Source: https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.DataFrame.summary.html

Duplicate of 62, 101 and 103 only with other answer options. I believe the correct is still "describe" even though that is not an option here

question returns often with different answers however I believe it should always be summary .describe() function takes cols:String*(columns in df) as optional args. .summary() function takes statistics:String*(count,mean,stddev..etc) as optional args.

DataFrame.summary(*statistics)[source] https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.DataFrame.summary.html It is the same question than 62 , 101 and 103. But in those cases the answer was "describe" and it's the same if you are looking for dataframe statistics detail df.describe(['age']).show() https://spark.apache.org/docs/3.1.1/api/python/reference/api/pyspark.sql.DataFrame.describe.html

It should definitely be summary or describe, either works. Summary shows count, mean, stddev, min, max and quartiles: https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.DataFrame.summary.html Describe shows count, mean, stddev, min and max: https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.DataFrame.describe.html#pyspark.sql.DataFrame.describe The differences seem to be that summary is newer and includes the percentiles at 25%, 50% and 75%.

summary

Please confirm