In a scenario where you have a dataset of user activities on a social media platform, which includes columns like user_id, activity_type, timestamp, and location. Explain how you would decide on the appropriate partitioning strategy for this dataset to optimize query performance. Consider the frequency of queries and the nature of the data.

Simulated

Partition by user_id, as it is likely that queries will often filter by individual users._

19.1%

Partition by activity_type, as it is likely that queries will often filter by the type of activity._

19.1%

Partition by timestamp, as it is likely that queries will often filter by time ranges.

48.4%

Partition by location, as it is likely that queries will often filter by geographical data.

13.3%

Databricks Certified Data Engineer - Professional