Data Analytics for Business
Final Assessment Review
(Questions & Solutions)
2025
1
, Question 1:
Which of the following best describes predictive analytics in a business
context?
A. Analyzing historical data solely to describe past performance
B. Using statistical models and machine learning techniques to forecast
future events
C. Reporting predetermined financial metrics without variation
D. Aggregating data only from internal sources
Correct ANS: B
Rationale:
Predictive analytics employs statistical models and machine learning to
forecast future outcomes—helping businesses anticipate trends and
inform strategic decisions.
---
Question 2:
Which advanced data analytics technique is designed for processing data
in near real‑time to support immediate decision making?
A. Batch processing
B. Real‑time analytics
C. Offline data warehousing
D. Periodic reporting
Correct ANS: B
Rationale:
Real‑time analytics processes streaming data immediately, enabling
businesses to make timely decisions based on current events.
---
2
, Question 3:
Big data is characterized by the “3 V’s.” Which of the following is not
one of these dimensions?
A. Volume
B. Velocity
C. Variety
D. Veracity
Correct ANS: D
Rationale:
While veracity (data quality) is important, the classical “3 V’s” of big data
are volume, velocity, and variety. (Some frameworks add a fourth “V” for
veracity, but classically it is not included.)
---
Question 4:
Which technique is most effective for handling unstructured data in
business analytics?
A. Relational database management
B. Natural language processing (NLP)
C. Standardized financial ratios
D. Traditional regression analysis
Correct ANS: B
Rationale:
Natural language processing (NLP) is specifically designed to analyze
unstructured textual data—extracting meanings and sentiments from
sources such as social media or customer reviews.
---
Question 5:
Deep learning is particularly beneficial in business for:
A. Summarizing historical data without predictive capability
3
Final Assessment Review
(Questions & Solutions)
2025
1
, Question 1:
Which of the following best describes predictive analytics in a business
context?
A. Analyzing historical data solely to describe past performance
B. Using statistical models and machine learning techniques to forecast
future events
C. Reporting predetermined financial metrics without variation
D. Aggregating data only from internal sources
Correct ANS: B
Rationale:
Predictive analytics employs statistical models and machine learning to
forecast future outcomes—helping businesses anticipate trends and
inform strategic decisions.
---
Question 2:
Which advanced data analytics technique is designed for processing data
in near real‑time to support immediate decision making?
A. Batch processing
B. Real‑time analytics
C. Offline data warehousing
D. Periodic reporting
Correct ANS: B
Rationale:
Real‑time analytics processes streaming data immediately, enabling
businesses to make timely decisions based on current events.
---
2
, Question 3:
Big data is characterized by the “3 V’s.” Which of the following is not
one of these dimensions?
A. Volume
B. Velocity
C. Variety
D. Veracity
Correct ANS: D
Rationale:
While veracity (data quality) is important, the classical “3 V’s” of big data
are volume, velocity, and variety. (Some frameworks add a fourth “V” for
veracity, but classically it is not included.)
---
Question 4:
Which technique is most effective for handling unstructured data in
business analytics?
A. Relational database management
B. Natural language processing (NLP)
C. Standardized financial ratios
D. Traditional regression analysis
Correct ANS: B
Rationale:
Natural language processing (NLP) is specifically designed to analyze
unstructured textual data—extracting meanings and sentiments from
sources such as social media or customer reviews.
---
Question 5:
Deep learning is particularly beneficial in business for:
A. Summarizing historical data without predictive capability
3
