What can be a major reason for lower than expected throughput in a financial application network?

What can be a major reason for lower than expected throughput in a financial application network?

• A. The speed of the network cables
• B. The amount of critical applications running
• C. The type of traffic crossing the network
• D. The hardware capability of computers

Answer: (C)

Lower than expected throughput in a financial application network can be significantly influenced by the type of traffic crossing the network. Different types of network traffic generate varying levels of complexity and resource requirements. For instance, heavy traffic that includes large data packets or encrypted communications can lead to congestion, resulting in delays and lower overall throughput. Financial applications often deal with sensitive data and real-time transactions, meaning that they can be particularly susceptible to performance issues arising from the nature of the traffic. When the traffic includes a mix of high-volume transactions, frequent updates, and large data transfers, it can strain the network infrastructure, causing bottlenecks that hinder performance. As a result, even if other factors such as hardware or cable speed are sufficient, inefficient traffic management or the presence of heavy data loads can drastically impact throughput. This highlights the critical importance of optimizing traffic and understanding its characteristics to maintain the desired performance levels in a network dedicated to financial applications.

Lower than expected throughput in a financial application network can be significantly influenced by the type of traffic crossing the network. Different types of network traffic generate varying levels of complexity and resource requirements. For instance, heavy traffic that includes large data packets or encrypted communications can lead to congestion, resulting in delays and lower overall throughput. Financial applications often deal with sensitive data and real-time transactions, meaning that they can be particularly susceptible to performance issues arising from the nature of the traffic.

When the traffic includes a mix of high-volume transactions, frequent updates, and large data transfers, it can strain the network infrastructure, causing bottlenecks that hinder performance. As a result, even if other factors such as hardware or cable speed are sufficient, inefficient traffic management or the presence of heavy data loads can drastically impact throughput. This highlights the critical importance of optimizing traffic and understanding its characteristics to maintain the desired performance levels in a network dedicated to financial applications.