Accounting Information Systems Flashcards
6 cards from real Accounting Online Program practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Accounting Information Systems flashcards as text
Which type of AIS threat involves an employee manipulating the system to embezzle funds?
Answer: Intentional computer fraud
Intentional computer fraud involves deliberate manipulation of AIS data or processes by insiders or outsiders for financial gain, which internal controls are designed to prevent and detect.
The expenditure cycle in an AIS primarily involves:
Answer: Ordering, receiving, and paying for goods and services
The expenditure cycle encompasses all activities related to acquiring goods and services from vendors: purchase ordering, receiving, invoice processing, and cash disbursements.
Data normalization in a relational database reduces:
Answer: Data redundancy and update anomalies
Normalization organizes database tables to eliminate redundant data and ensure data integrity, preventing update, insertion, and deletion anomalies.
Which AIS application control verifies that all records in a batch were received and processed?
Answer: Batch total
Batch totals (such as record counts, control totals, or hash totals) are calculated before and after processing to verify that all records in the batch were processed correctly.
Cloud-based accounting systems offer which primary advantage over traditional on-premise systems?
Answer: They provide anywhere-access and reduce upfront IT infrastructure costs
Cloud-based systems allow users to access accounting data from any location with internet access and shift IT infrastructure costs from capital expenditure to subscription-based operating expense.
Which of the following best describes 'data analytics' as applied in an AIS?
Answer: Using statistical and computational methods to analyze large datasets for patterns, anomalies, and insights
Data analytics in AIS applies tools like regression analysis, anomaly detection, and visualization to large financial datasets to uncover trends, identify fraud, and support strategic decisions.