Explanation
The best way for an organization to mitigate the risk associated with third-party application performance is to utilize performance monitoring tools to verify service level agreements (SLAs). Performance monitoring tools are software or hardware devices that measure and report the performance of an application or system, such as speed, availability, reliability, etc. Performance monitoring tools can help mitigate the risk associated with third-party application performance, by allowing the organization to verify whether the third-party provider is meeting the SLAs, which are contracts or agreements that define the expected level and quality of service for an application or system. Performance monitoring tools can also help identify and resolve any performance issues or problems that may arise from the third-party application. Ensuring the third party allocates adequate resources to meet requirements is a possible way to mitigate the risk associated with third-party application performance, but it is not the best one, as it may not be feasible or effective depending on the availability, cost, and suitability of the resources. Using analytics within the internal audit function is a possible way to mitigate the risk associated with third-party application performance, but it is not the best one, as it may not be timely or relevant depending on the frequency, scope, and quality of the analytics. Conducting a capacity planning exercise is a possible way to mitigate the risk associated with third-party application performance, but it is not the best one, as it may not be accurate or reliable depending on the assumptions, methods, and data used for the capacity planning.

Benford's Law analyzes numerical data to detect anomalies based on the frequency distribution of leading digits. For it to be effective, the dataset must follow specific criteria, including consistency in measurement units. If transactions are in different currencies, the leading digits can vary due to currency conversion rates, invalidating the analysis.
* Double Integer Format (Option A): Benford's Law applies to any set of numerical data, not specifically double integers.
* Random Selection of Transactions (Option B): The data set must represent the entire population, not a random selection.
* Limiting Analysis to Standard Deviations (Option C): This is irrelevant to the application of Benford's Law.
Reference: ISACA CISA Review Manual, Job Practice Area 2: Information Systems Audit and Assurance.

The most helpful technique for an IS auditor to determine whether duplicate vendor payments exist is Computer-assisted technique, which is discussed in ISACA's CISA Study Manual. According to the manual, computer-assisted techniques use computerized techniques to identify potential errors and irregularities in a system. These techniques can be used to detect errors such as duplicate payments, which can be easily missed in manual systems. In addition, these techniques can be used to analyze data to detect patterns or trends that may indicate fraud or misappropriation of funds.