Exam 11: Enterprise Resource Planning Systems
Exam 1: The Information System: an Accountants Perspective96 Questions
Exam 2: Introduction to Transaction Processing119 Questions
Exam 3: Ethics, Fraud, and Internal Control161 Questions
Exam 4: The Revenue Cycle119 Questions
Exam 5: The Expenditure Cycle Part I: Purchases and Cash Disbursements Procedures111 Questions
Exam 6: The Expenditure Cycle Part II: Payroll Processing and Fixed Asset Procedures94 Questions
Exam 7: The Conversion Cycle102 Questions
Exam 8: Financial Reporting, and Management Reporting Systems94 Questions
Exam 9: Database Management Systems105 Questions
Exam 10: The Rea Approach to Business Process Modeling76 Questions
Exam 11: Enterprise Resource Planning Systems96 Questions
Exam 12: Electronic Commerce Systems111 Questions
Exam 13: Managing the Systems Development Life Cycle93 Questions
Exam 14: Construct, Deliver, and Maintain Systems Projects92 Questions
Exam 15: IT Controls Part I: Sarbanes-Oxley and It Governance129 Questions
Exam 16: IT Controls Part II: Security and Access96 Questions
Exam 17: IT Controls Part III: Systems Development, Program Changes, and Application Controls67 Questions
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The primary goal of installing an ERP system is reducing system maintenance costs.
(True/False)
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Scalability has several dimensions. What are they? What do they mean for ERP installation?
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Data in a data warehouse are in a stable state. Explain how this can hamper data mining analysis? What can an organization do to alleviate this problem?
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If an auditor suspected an unusual relationship between a purchasing agent and certain suppliers, how could drill-down be used to collect data?
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ERP implementations are at risk to extensive cost overruns. Discuss three of the more commonly experienced problems area.
(Essay)
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Which of the following statements is least likely to be true about a data warehouse?
(Multiple Choice)
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A problem with RBAC is that managers tend to create unnecessary roles
(True/False)
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OLAP includes decision support, modeling, information retrieval, and what-if analysis.
(True/False)
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Data cleansing is a step performed by external auditors to identify and repairing invalid data prior to the audit.
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