Which function can you use to enhance the performance of your query activities?

Filtering dimension is essential for enhancing the performance of query activities because it allows you to reduce the dataset that needs to be processed. By applying filters based on specific criteria before or during the query execution, you can limit the number of records that the system needs to address. This not only speeds up the execution time of the query but also minimizes resource consumption, making the overall process more efficient.

When you filter dimensions, you can focus on the most relevant data, which helps in quickly retrieving the information you need without processing unnecessary records. This capability is particularly beneficial for large datasets where the volume of data could significantly slow down query performance.

In contrast, the other options, while they may play a role in data management or system organization, do not directly enhance query performance in the way that filtering dimensions does. Sorting data after extraction may improve readability but does not affect the speed at which data is retrieved. Changing user permissions relates more to access control than performance optimization, and exporting logs is a task related to monitoring and troubleshooting rather than querying efficiency.