Which feature allows HANA to manage frequently and infrequently accessed data differently?

Dynamic tiering is the correct answer because it specifically enables SAP HANA to manage different types of data access based on how frequently data is accessed. This feature allows organizations to optimize their storage by separating frequently accessed data from infrequently accessed data, storing them in different tiers.

In this arrangement, frequently accessed data can remain in the main memory for fast processing, while less frequently accessed data can be moved to lower-cost disk storage. This leads to improved performance, as the system can allocate resources more efficiently and minimize costs associated with memory consumption.

The other options listed serve different purposes. Data replication involves copying data from one database to another for redundancy and backup purposes but does not specifically address the management of access frequency. Table partitioning is useful for improving performance and manageability by dividing a large table into smaller, more manageable pieces, but it doesn't inherently differentiate the access frequency of the data. Row compression is a technique used to reduce the amount of space that data occupies in memory or on disk; while it optimizes storage, it doesn't relate to the access frequency management of the data.