Suppose you have a DataFrame `df` with columns `user_id` and `subscription_type`. How would you ensure that each `user_id` is associated with just one unique `subscription_type`? Provide the Spark code to validate this. (Choose Two)

Simulated

df.groupBy('user_id').agg(countDistinct('subscription_type').alias('distinct_count')).filter('distinct_count > 1')

17.9%

df.groupBy('user_id') .agg(countDistinct('subscription_type').alias('distinct_count')).filter('distinct_count != 1')

42.6%

df.dropDuplicates(['user_id', 'subscription_type']).groupBy('user_id').count().filter('count > 1')_

12.5%

df.groupBy('user_id').agg(collect_set('subscription_type').alias('subs')).filter(size('subs') != 1)_

20.6%

df.groupBy('user_id').agg(count('subscription_type').alias('cnt')).filter('cnt > 1')

6.5%

Databricks Certified Data Engineer - Associate