Which hierarchies can be enabled for SQL access?

The option referring to shared hierarchies in a star join view is correct because shared hierarchies allow for consistent use across various models and can be utilized in SQL queries. Shared hierarchies effectively provide a way to organize dimensions that can be accessed across multiple views and reporting tools, promoting reusable components in complex data models. This makes them particularly powerful within the context of a star schema, where the relationships among fact tables and dimension tables benefit from common hierarchies.

In contrast, the other options pose limitations or specific use cases that are not aligned with SQL access capabilities. Time-dependent hierarchies are intended for use within the context of analytical processing that may not always translate effectively into straightforward SQL queries. Level hierarchies are designed specifically for calculation views and focus on specific aggregation and data modeling strategies that may not be natively supported in SQL. Local hierarchies, while useful for defining specific relationships within a limited scope, do not provide the broader accessibility that shared hierarchies facilitate, thus making them less suitable for SQL access compared to shared hierarchies.