Analysis:

For Change 1, which involves using multiple servers to maximize throughput and minimize response time, the key concern is how the load is distributed across these servers.

B . Load balancing:

Load balancing is the process of distributing network or application traffic across multiple servers to ensure no single server becomes overwhelmed. It is crucial for maximizing throughput and minimizing response times, particularly during peak volumes.

Explanation of Incorrect Options:

A . Connection pooling:

This is related to managing database connections efficiently but is not directly relevant to distributing web server traffic.

C . Distributed processing:

This refers to dividing processing tasks across multiple processors or machines but is not specific to managing web server load.

D . Caching:

Caching helps improve performance by storing frequently accessed data in memory, reducing the need to retrieve it from the database, but it does not address load distribution across servers.

The ISTQB CTAL-TTA syllabus and standard practices in reviewing system architecture emphasize the importance of load balancing for managing server traffic and ensuring optimal performance during peak loads.

Sources:

ISTQB-CTAL-TTA Syllabus

General knowledge on system architecture and load balancing.