What changes can occur with an index over time?

An index is a data structure that accelerates search and sorting in a database or collection.

Over time, an index can undergo the following changes:

• Fragmentation: with frequent inserts, updates, and deletes, the index can become fragmented, reducing performance.
• Updating: the index is automatically updated when data changes to stay current.
• Rebuilding: for optimization, the index may need to be rebuilt or reorganized.
• Size growth: as data volume increases, the index may occupy more space.

In Python, if we talk about data structures like lists or dictionaries, indices (element positions) can change when elements are added or removed.