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Multidimensional Audit Data Selection This portion of the exam discusses potential filters for the purpose of applying MADS to Sam's Club data. Among the filters

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Multidimensional Audit Data Selection This portion of the exam discusses potential filters for the purpose of applying MADS to Sam's Club data. Among the filters developed in a "What Can Go Wrong" analysis, directors, senior managers, and/or audit associates in an audit firm decide to use the following four categories as Step 1 filters by selecting or refining the potential filters. - Filter A - Identify transactions that predate membership dates. - Filter B - List transactions involving large amounts that occurred on the last day of the fiscal year or of the quarterly term. - Filter C - Identify large-dollar transactions that occurred on the last day of the fiscal quarter but did not occur (at all or frequently) on other days of the year. - Filter D-Identify duplicate transactions. 2) Evaluate the four filters' efficacy as high, medium, or low for detecting highrisk factors, medium-risk factors, and low-risk factors (e.g., if Filter A is most effective at detecting high-risk factors, indicate "high"). Provide the reasons for your evaluations. (This process may be helpful for Step 3 prioritization). Filter A: High Filter B: Filter c: tiah Filter D: High

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