The Reorg utility in DB2 is responsible for reorganizing the data and indexes within a tablespace or a table to optimize storage allocation and improve performance. During this process, the utility rearranges data pages, rebuilds indexes, and updates statistics, resulting in improved storage efficiency and query performance. By periodically running the Reorg utility, DBAs can ensure that data is stored in the most optimal manner, reducing storage overhead and enhancing overall system performance. 

An advantage of using an IDE like IBM Data Studio is enhanced productivity and collaboration. IDEs provide features like code completion, debugging tools, and integrated version control, which streamline the development process and facilitate team collaboration. 

A cursor in DB2 is primarily used to retrieve rows one at a time from the result set of an SQL query. This allows for sequential processing of the result set, enabling manipulation or analysis of each row individually. Cursors are commonly used in situations where processing each row separately is necessary, such as data validation or complex calculations. 

XML and JSON are both capable of representing hierarchical data structures. In the case of DB2, these data structures can be represented using either XML or JSON data types. Hierarchical data structures are commonly found in XML and JSON formats, making them suitable for representing such structures in DB2. 

The Runstats utility collects table statistics such as the number of rows, number of pages, and other distribution statistics that help the DB2 optimizer make better decisions. 

Using a bitmap index can be a suitable solution for columns that are frequently queried but undergo frequent data modifications. Bitmap indexes can efficiently handle changes to the indexed data while still providing improved query performance. Hash indexes are not commonly used in DB2 and may not effectively address the concern about index maintenance overhead. Materialized views and clustered indexes are not directly related to the issue of reducing index maintenance overhead for frequently modified columns. 

The DELETE FROM statement in SQL allows for the removal of records based on specified conditions. These conditions typically involve comparisons between the values in certain columns and specific criteria. 

The correct option is option 4: LOADDD. This option allows the LOAD utility to load data into multiple tables concurrently, thereby improving performance by reducing the time required for data loading operations. This feature is particularly useful in scenarios where data needs to be loaded into multiple related tables simultaneously. 

Indexing is a common technique employed in denormalization to enhance query performance. By creating appropriate indexes on denormalized tables, the database system can quickly locate and retrieve relevant data. 

The correct option is Option 1: Large binary data. BLOB stands for Binary Large Object, and it's used for storing large binary data, such as images, videos, or documents, in DB2 databases.