How can the following XPath query be optimized: [OrderManagement.OrderLine_Product /OrderManagement.Product/MinimalStock > 50] [OrderManagement.OrderLine_Product /OrderManagement.Product/Status = 'Active']?

Combining the criteria into a single comprehensive condition is an effective way to optimize the XPath query for a couple of key reasons. When multiple conditions are processed separately, each condition is evaluated independently, which can lead to redundant evaluations of the dataset. By merging the conditions, you streamline the evaluation process and reduce the computational overhead. A single query allows for a more efficient search through the data, since the query engine can process the requirements in a unified manner, which can leverage indexing and other optimizations more effectively.

This holistic approach ensures that the query evaluates both the MinimalStock and the Status attributes in a single pass, significantly improving performance, particularly when working with larger datasets or more complex data models where multiple lookups might otherwise slow down performance.

The other options, while they may address various aspects of query structure, do not directly target the efficiency of processing multiple conditions concurrently. Separating conditions can lead to increased processing time, using only one condition might omit essential filters needed for the result set, and removing unnecessary attributes does not inherently improve the query complexity related to performance in this case.