Which analysis helps identify the top web requests in an application?

The best choice for identifying the top web requests in an application is through web request analysis. This type of analysis specifically focuses on the performance and behavior of web requests, enabling users to see metrics such as response times, frequency, and error rates associated with various requests made to the application. By analyzing this data, one can pinpoint which web requests are consuming the most resources or are the most frequently accessed, thereby identifying potential areas for optimization or troubleshooting.

While the other analyses, such as exception analysis or CPU analysis, look at issues related to application performance, they do not directly assess the web requests themselves. Exception analysis focuses on errors and exceptions occurring within the application, often to resolve bugs or issues that affect functionality. CPU analysis investigates the usage of CPU resources by processes or threads but does not provide insights specifically related to web requests. Top database statements, on the other hand, examine database queries rather than the web requests made to the application. Thus, those options do not serve the purpose of identifying the top web requests effectively as web request analysis does.