JSON (JavaScript Object Notation) is commonly used for representing hierarchical data structures in DB2. JSON provides a lightweight and easy-to-read format for organizing and exchanging data, making it well-suited for applications that require hierarchical data representation, such as web services and NoSQL databases. 

Analyzing and optimizing the database configuration, including parameters such as buffer pool sizes, can lead to better overall DB2 performance. 

The correct option is "Ignored". When using the SUM() function in DB2, NULL values in the column are ignored in the calculation. Only non-NULL values are summed up. It's essential to be aware of this behavior when performing calculations with SUM(). 

A Check Constraint allows the specification of a condition that each row in the table must satisfy. In this scenario, a Check Constraint can be used to ensure that the column always contains valid date values by defining a condition to validate dates. 

The UPDATE statement in SQL is used to modify existing records in a database table. It allows you to change the values of specific columns in one or more rows based on specified conditions. 

DB2 offers support for multiple table types, including regular tables, system-maintained temporal tables, and declared global temporary tables. This flexibility allows users to organize and manage data efficiently based on their specific requirements. 

User-defined functions can return Multiple values in DB2. Unlike built-in functions that typically return a single value, user-defined functions offer the flexibility to return multiple values based on the defined logic and input parameters. 

Adding indexes to the columns involved in the query can significantly enhance query performance by allowing DB2 to quickly locate the relevant rows. This reduces the need for full table scans and can lead to faster query execution. Rewriting the query might help in some cases, but adding indexes is a more direct solution to the problem of slow query performance due to the lack of indexes. Increasing server memory or partitioning the table may not directly address the issue of slow query performance caused by missing indexes. 

Triggers in DB2 are primarily activated by data manipulation events, such as INSERT, UPDATE, and DELETE operations on specified tables. These triggers execute automatically when the defined event occurs in the database. 

Data integrity in DB2 refers to maintaining the accuracy and consistency of data stored in the database. It ensures that data remains valid, reliable, and consistent throughout its lifecycle. This includes enforcing rules and constraints to prevent invalid data entry or modification, such as ensuring referential integrity and maintaining data consistency across multiple tables. Therefore, the correct option is to ensure the consistency of data. 

BLOB (Binary Large Object) data type is suitable for storing images in a DB2 database. BLOB allows for the storage of large binary objects, such as images, audio, or video files. It preserves the binary format of the data without any character encoding, making it ideal for non-textual data like images. 

Database backup in DB2 serves the purpose of preventing data loss in case of system failures. By creating backups, organizations can restore their data to a previous state if it gets corrupted or lost due to various reasons such as hardware failures, human errors, or disasters. This ensures data integrity and business continuity.