When troubleshooting a sudden increase in database response time, reviewing database configuration parameters is essential. These parameters can affect various aspects of database performance, such as buffer pool sizes, sorting memory, and lock thresholds. By reviewing these settings, a DBA can identify any misconfigurations that might be contributing to the performance issue. Additionally, monitoring system resource utilization helps identify potential bottlenecks such as CPU, memory, or disk I/O saturation, which could impact overall database performance. 

User-defined functions offer more flexibility in functionality compared to built-in functions. Developers can tailor user-defined functions to meet specific requirements, which can lead to better application performance and improved code readability. Additionally, user-defined functions can encapsulate complex logic, enhancing security by limiting access to sensitive data and promoting modular development for improved maintainability. 

The edition of DB2 primarily determines its features, which include functionalities, capabilities, and tools available in that specific edition. For example, the Enterprise Edition of DB2 might include advanced features like high availability, encryption, and advanced analytics, while the Community Edition might have limited features suitable for smaller-scale deployments. Understanding these features helps in selecting the appropriate edition based on the requirements of the project or organization. 

The Health Monitor primarily focuses on monitoring the availability of the database. It tracks the database's uptime, downtime, and any factors that may affect its accessibility to users. This includes monitoring for potential failures, such as hardware failures or network issues, and taking appropriate actions to maintain database availability. 

Choosing the most suitable edition of DB2 for a company with a tight budget requires a strategic approach that balances cost considerations with the need for essential database functionality and scalability. By advising the company to prioritize long-term value and explore flexible deployment options, they can make an informed decision that aligns with their budget constraints and business objectives, ensuring optimal performance and cost-effectiveness in the long run. 

In response to identified issues, the Health Monitor can take actions such as alerting administrators about the problem, running diagnostics to pinpoint the root cause, automatically tuning database parameters for optimal performance, and generating performance reports to analyze historical data and trends. These actions help in resolving issues efficiently and maintaining the health and stability of the database system. 

A deadlock in DB2 arises when two or more transactions are waiting for each other to release locks that they hold. This situation creates a circular dependency, where each transaction is waiting for a resource held by another transaction, resulting in a stalemate. Deadlocks can occur in scenarios where transactions acquire locks on resources in a different order, leading to a situation where none of the transactions can proceed further, ultimately requiring intervention, such as rollback or deadlock detection mechanisms, to resolve the impasse. 

Implementing Change Data Capture (CDC) mechanisms allows for real-time synchronization of data changes between on-premises DB2 databases and cloud-based analytics platforms, ensuring that analytics and reporting are based on the latest data. Manual export/import or batch processing approaches introduce delays and are prone to errors, while FTP-based solutions lack the real-time capabilities required for this scenario. 

In DB2, the term "authentication" refers to the process of verifying the identity of users who are attempting to access the database. Authentication mechanisms ensure that only legitimate users with valid credentials can log in to the database system. By authenticating users, DB2 helps prevent unauthorized access and protects the confidentiality and integrity of the data stored in the database. 

Materialized views can help reduce the overhead on frequent INSERT, UPDATE, and DELETE operations in a database by precomputing and storing the results of queries. This reduces the need to perform expensive computations during query execution, as the results are readily available in the materialized views. By eliminating the need to access the underlying base tables, materialized views improve query performance and response time, enhancing overall database performance. Additionally, materialized views enhance data consistency and accuracy by providing a snapshot of data at a specific point in time, ensuring that queries retrieve consistent and up-to-date information. Furthermore, materialized views simplify data access and retrieval by aggregating and summarizing information from multiple tables, making it easier to query and analyze data.