Running Runstats on migrated tables and indexes updates statistical information, enabling the query optimizer to make informed decisions about query execution plans. This helps maintain data integrity by ensuring accurate statistics reflecting the newly migrated data. Scheduling backups using Runstats does not directly contribute to data integrity or performance optimization but rather aids in data protection. Triggers for updating statistics may introduce unnecessary overhead and complexity, whereas manually adjusting query plans is impractical and error-prone, especially for large-scale migrations. 

The true statement about the XML structure in DB2 is that XML documents follow a hierarchical structure. In DB2, XML documents are represented in a hierarchical format where elements are nested within each other to represent the relationships between different parts of the data. This hierarchical structure allows for the representation of complex data models and facilitates efficient querying and manipulation of XML data in DB2. 

DB2 employs prefetching techniques to optimize cursor positioning when dealing with large result sets. Prefetching involves retrieving multiple rows from the database in advance and storing them in memory. This approach reduces the number of disk I/O operations and minimizes the latency associated with fetching data. By prefetching rows, DB2 ensures that the cursor can quickly access the next set of rows, enhancing the overall performance of data retrieval operations. 

The primary purpose of a table in a database is to store data in a structured format. Tables consist of rows and columns, with each row representing a record and each column representing a field or attribute. Storing data in tables allows for efficient organization and retrieval of information, facilitating data management and analysis. 

The main benefit of using data compression and encryption together in DB2 is achieving enhanced storage efficiency and security simultaneously. By compressing data, storage space is optimized, leading to cost savings and improved performance. Additionally, encrypting compressed data ensures that sensitive information remains protected from unauthorized access, providing comprehensive data security measures. This combined approach strengthens data management practices, reduces operational complexities, and mitigates risks associated with data breaches or unauthorized access attempts. 

The integration of Health Monitor with other DB2 features enhances Performance Tuning by providing real-time monitoring and analysis of database performance metrics, allowing for proactive optimization efforts. 

B-Tree indexes are commonly used in DB2 to speed up data retrieval operations. These indexes organize data in a balanced tree structure, enabling efficient search operations by navigating through levels of the tree to locate specific values. 

Functional dependencies define relationships between attributes, where the value of one attribute uniquely determines the value of another. They are pivotal in normalization as they help identify candidate keys and determine the level of normalization required. 

The Database Manager Configuration is the component of DB2 responsible for managing configuration settings. It includes parameters related to memory allocation, logging, and other aspects of the database. 

DB2 employs a method of locking index pages during updates to ensure consistency between the table data and the index entries. This approach minimizes the risk of data inconsistencies and ensures that queries accessing the index return accurate results. Understanding how updates are managed in tables with indexes is crucial for optimizing performance and maintaining data integrity in DB2 environments.