DSCI 4520 EXAM 1 QUESTIONS WITH VERIFIED
ANSWERS
According to the data-driven decision-making technology pyramid shown in the
following figure, which statement is FALSE?
A. As data moves from the bottom of the pyramid to the top it transforms into
information, knowledge, and actionable insights..
B At the bottom of the pyramid are transactional data management systems moderated
and operated by database analyst and admins (DBA).
C. Raw operational data in OLTP systems are transformed to OLAP in data warehouse
systems.
D. The process only moves in one direction (upward) and higher layers never give
feedback to the lower layers. - Answers - D
Which statement about the data mining process is INCORRECT?
A. The overall objective of any data mining process is to improve the business
B. Data mining is a multidisciplinary field that makes a significant use of statistics
C. No value presents in raw, unprocessed, and unactionable data
D. Data cleaning and pre-processing is usually a trivial step in the process - Answers -
D
Which statement is FALSE about the data-driven decision-making approach?
A. It is an iterative and algorithmic process
B. It is based on the collected facts
C. It requires computational work
D. it is loaded with assumptions and theories - Answers - D
Which statement about business intelligence workflow is CORRECT?
A. External data sources are never used in the BI analytics
B. Data in the operational database is transformed to analytical data in the data
warehouse
C. Transactional data software is directly connected to data warehouse
D. Business users and BI analysts are usually the same group of people - Answers - B
"Estimating the repair time required for an aircraft based on a trouble ticket."
Performing this task in data mining requires an unsupervised learning approach. -
Answers - false
Which of the followings is a core idea/task in data mining?
A. All of the others
B. Data cleaning and pre-processing
C. Data visualization
, D. Regression modeling - Answers - A
What is the first phase in the CRISP-DM approach for data mining tasks?
A. Business understanding
B. Data collection
C. Data understanding
D. Model understanding - Answers - A
"Learn from the observed records to predict the class value of unseen records."
In data mining, this is called ...
A. Classification
B. Clustering
C. Regression
D. Segmentation - Answers - A
Data exploration includes summary statistics, univariate and bivariate analysis, basic
statistical tests (t-test, correlation), ANOVA, and outlier detection. - Answers - True
ANOVA is an analysis under which of the following data mining task categories?
A. Data exploration
B. Dimension reduction
C. Visualization
D. Data cleaning - Answers - A
Which of the following tasks is a supervised learning task?
A. Finding association rules in a large amount of retail transactions
B. Visualizing relationship between the target variable and predictors
C. Segmenting the market based on the common interests and priorities
D. Predicting air pollution level - Answers - D
"Identifying segments of similar customers."
Performing this task in data mining requires a supervised learning approach. - Answers
- False
"Predicting whether a company will go bankrupt based on comparing its financialdata to
those of similar bankrupt and nonbankrupt firms."
Performing this task in data mining requires an unsupervised learning approach -
Answers - False
Which of the following tasks is an unsupervised learning task?
A. Predicting customers retention
B. Forecasting customers spending
C. Grouping customers based on the similarity in their online behavior
D. Predicting customers loyalty - Answers - C
ANSWERS
According to the data-driven decision-making technology pyramid shown in the
following figure, which statement is FALSE?
A. As data moves from the bottom of the pyramid to the top it transforms into
information, knowledge, and actionable insights..
B At the bottom of the pyramid are transactional data management systems moderated
and operated by database analyst and admins (DBA).
C. Raw operational data in OLTP systems are transformed to OLAP in data warehouse
systems.
D. The process only moves in one direction (upward) and higher layers never give
feedback to the lower layers. - Answers - D
Which statement about the data mining process is INCORRECT?
A. The overall objective of any data mining process is to improve the business
B. Data mining is a multidisciplinary field that makes a significant use of statistics
C. No value presents in raw, unprocessed, and unactionable data
D. Data cleaning and pre-processing is usually a trivial step in the process - Answers -
D
Which statement is FALSE about the data-driven decision-making approach?
A. It is an iterative and algorithmic process
B. It is based on the collected facts
C. It requires computational work
D. it is loaded with assumptions and theories - Answers - D
Which statement about business intelligence workflow is CORRECT?
A. External data sources are never used in the BI analytics
B. Data in the operational database is transformed to analytical data in the data
warehouse
C. Transactional data software is directly connected to data warehouse
D. Business users and BI analysts are usually the same group of people - Answers - B
"Estimating the repair time required for an aircraft based on a trouble ticket."
Performing this task in data mining requires an unsupervised learning approach. -
Answers - false
Which of the followings is a core idea/task in data mining?
A. All of the others
B. Data cleaning and pre-processing
C. Data visualization
, D. Regression modeling - Answers - A
What is the first phase in the CRISP-DM approach for data mining tasks?
A. Business understanding
B. Data collection
C. Data understanding
D. Model understanding - Answers - A
"Learn from the observed records to predict the class value of unseen records."
In data mining, this is called ...
A. Classification
B. Clustering
C. Regression
D. Segmentation - Answers - A
Data exploration includes summary statistics, univariate and bivariate analysis, basic
statistical tests (t-test, correlation), ANOVA, and outlier detection. - Answers - True
ANOVA is an analysis under which of the following data mining task categories?
A. Data exploration
B. Dimension reduction
C. Visualization
D. Data cleaning - Answers - A
Which of the following tasks is a supervised learning task?
A. Finding association rules in a large amount of retail transactions
B. Visualizing relationship between the target variable and predictors
C. Segmenting the market based on the common interests and priorities
D. Predicting air pollution level - Answers - D
"Identifying segments of similar customers."
Performing this task in data mining requires a supervised learning approach. - Answers
- False
"Predicting whether a company will go bankrupt based on comparing its financialdata to
those of similar bankrupt and nonbankrupt firms."
Performing this task in data mining requires an unsupervised learning approach -
Answers - False
Which of the following tasks is an unsupervised learning task?
A. Predicting customers retention
B. Forecasting customers spending
C. Grouping customers based on the similarity in their online behavior
D. Predicting customers loyalty - Answers - C
