ACCOUNTING ANALYTICS EXAMINATION QUESTIONS
AND CORRECT ANSWER&EXPLANATION|GRADED A+
STUDY GUIDE SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Accounting analytics is the use of:
A. Manual bookkeeping only
B. Data analysis techniques in accounting
C. Tax evasion methods
D. Payroll systems only
Answer: B
Rationale: It applies data analytics to accounting information.
2. The main purpose of accounting analytics is to:
A. Increase errors
B. Support decision-making using data
C. Eliminate financial reports
D. Avoid audits
Answer: B
Rationale: It improves insights for better decisions.
3. Descriptive analytics focuses on:
A. Predicting future events
B. Summarizing past data
C. Eliminating data
D. Random guessing
Answer: B
Rationale: It describes what has happened.
4. Predictive analytics focuses on:
,A. Future outcomes
B. Past only
C. Payroll only
D. Tax filing only
Answer: A
Rationale: It forecasts future trends.
5. Prescriptive analytics focuses on:
A. What should be done
B. Past records
C. Inventory only
D. Errors only
Answer: A
Rationale: It recommends actions.
6. Data visualization helps to:
A. Hide data
B. Present data graphically
C. Delete records
D. Increase fraud
Answer: B
Rationale: Makes data easier to understand.
7. A dashboard in accounting analytics is:
A. A visual summary tool
B. A tax form
C. A ledger book
D. A payroll sheet
Answer: A
Rationale: Displays key metrics visually.
8. Big data refers to:
, A. Small datasets
B. Large complex datasets
C. Manual records
D. Paper files only
Answer: B
Rationale: Large and complex data collections.
9. Data mining is the process of:
A. Collecting raw data
B. Discovering patterns in data
C. Ignoring data
D. Deleting records
Answer: B
Rationale: Finds useful patterns.
10. Machine learning in accounting is used for:
A. Manual bookkeeping
B. Pattern recognition and prediction
C. Payroll only
D. Tax evasion
Answer: B
Rationale: Learns from data automatically.
11. Artificial intelligence in accounting helps to:
A. Automate decision-making
B. Increase manual errors
C. Reduce data usage
D. Eliminate reporting
Answer: A
Rationale: AI improves efficiency.
12. Data integrity means:
AND CORRECT ANSWER&EXPLANATION|GRADED A+
STUDY GUIDE SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Accounting analytics is the use of:
A. Manual bookkeeping only
B. Data analysis techniques in accounting
C. Tax evasion methods
D. Payroll systems only
Answer: B
Rationale: It applies data analytics to accounting information.
2. The main purpose of accounting analytics is to:
A. Increase errors
B. Support decision-making using data
C. Eliminate financial reports
D. Avoid audits
Answer: B
Rationale: It improves insights for better decisions.
3. Descriptive analytics focuses on:
A. Predicting future events
B. Summarizing past data
C. Eliminating data
D. Random guessing
Answer: B
Rationale: It describes what has happened.
4. Predictive analytics focuses on:
,A. Future outcomes
B. Past only
C. Payroll only
D. Tax filing only
Answer: A
Rationale: It forecasts future trends.
5. Prescriptive analytics focuses on:
A. What should be done
B. Past records
C. Inventory only
D. Errors only
Answer: A
Rationale: It recommends actions.
6. Data visualization helps to:
A. Hide data
B. Present data graphically
C. Delete records
D. Increase fraud
Answer: B
Rationale: Makes data easier to understand.
7. A dashboard in accounting analytics is:
A. A visual summary tool
B. A tax form
C. A ledger book
D. A payroll sheet
Answer: A
Rationale: Displays key metrics visually.
8. Big data refers to:
, A. Small datasets
B. Large complex datasets
C. Manual records
D. Paper files only
Answer: B
Rationale: Large and complex data collections.
9. Data mining is the process of:
A. Collecting raw data
B. Discovering patterns in data
C. Ignoring data
D. Deleting records
Answer: B
Rationale: Finds useful patterns.
10. Machine learning in accounting is used for:
A. Manual bookkeeping
B. Pattern recognition and prediction
C. Payroll only
D. Tax evasion
Answer: B
Rationale: Learns from data automatically.
11. Artificial intelligence in accounting helps to:
A. Automate decision-making
B. Increase manual errors
C. Reduce data usage
D. Eliminate reporting
Answer: A
Rationale: AI improves efficiency.
12. Data integrity means:
