ISDS 3110 FINAL EXAM GUIDE Practice Questions 60+ & 100% Correct
Answers,2026
A multinational company is integrating customer data from various regions into a
centralized system. The data formats differ across regions, causing
inconsistencies. Which process is most appropriate to ensure uniformity before
analysis?
A. Data visualization
B. Data transformation and standardization
C. Data deletion
D. Data storage
Answer: B
Rationale:
Data transformation ensures consistency in formats, units, and structures, which
is essential before performing analytics.
A manager wants to evaluate how changes in pricing will affect demand and
revenue using a simulation model. Which feature of a decision support system is
being utilized?
1
,A. Data entry module
B. What-if analysis
C. Data warehouse
D. Transaction processing
Answer: B
Rationale:
What-if analysis allows users to simulate outcomes based on different
assumptions.
An organization is concerned about unauthorized modification of its financial
records. Which information security principle addresses this concern?
A. Confidentiality
B. Integrity
C. Availability
D. Redundancy
Answer: B
Rationale:
2
,Integrity ensures data is accurate and not altered improperly.
A company uses a system that collects data from daily transactions and stores it
for operational use. What type of system is this?
A. DSS
B. TPS
C. Data warehouse
D. EIS
Answer: B
Rationale:
Transaction Processing Systems manage routine business operations.
A business analyst is designing a dashboard to present KPIs to executives. Which
characteristic is most important?
A. Complex coding
B. Real-time updates and clear visualization
C. Large data storage
3
, D. Minimal user interaction
Answer: B
Rationale:
Dashboards must present data clearly and often in real time for decision-making.
A company wants to identify patterns in customer behavior without predefined
labels. Which technique should be used?
A. Regression
B. Classification
C. Clustering
D. Forecasting
Answer: C
Rationale:
Clustering groups data based on similarity without labeled outcomes.
A predictive model performs well on training data but poorly on unseen data.
What should the analyst consider?
4
Answers,2026
A multinational company is integrating customer data from various regions into a
centralized system. The data formats differ across regions, causing
inconsistencies. Which process is most appropriate to ensure uniformity before
analysis?
A. Data visualization
B. Data transformation and standardization
C. Data deletion
D. Data storage
Answer: B
Rationale:
Data transformation ensures consistency in formats, units, and structures, which
is essential before performing analytics.
A manager wants to evaluate how changes in pricing will affect demand and
revenue using a simulation model. Which feature of a decision support system is
being utilized?
1
,A. Data entry module
B. What-if analysis
C. Data warehouse
D. Transaction processing
Answer: B
Rationale:
What-if analysis allows users to simulate outcomes based on different
assumptions.
An organization is concerned about unauthorized modification of its financial
records. Which information security principle addresses this concern?
A. Confidentiality
B. Integrity
C. Availability
D. Redundancy
Answer: B
Rationale:
2
,Integrity ensures data is accurate and not altered improperly.
A company uses a system that collects data from daily transactions and stores it
for operational use. What type of system is this?
A. DSS
B. TPS
C. Data warehouse
D. EIS
Answer: B
Rationale:
Transaction Processing Systems manage routine business operations.
A business analyst is designing a dashboard to present KPIs to executives. Which
characteristic is most important?
A. Complex coding
B. Real-time updates and clear visualization
C. Large data storage
3
, D. Minimal user interaction
Answer: B
Rationale:
Dashboards must present data clearly and often in real time for decision-making.
A company wants to identify patterns in customer behavior without predefined
labels. Which technique should be used?
A. Regression
B. Classification
C. Clustering
D. Forecasting
Answer: C
Rationale:
Clustering groups data based on similarity without labeled outcomes.
A predictive model performs well on training data but poorly on unseen data.
What should the analyst consider?
4
