BADM 211 BUNDLED EXAM REVIEW QUESTIONS
AND ANSWERS
◉ The term "business intelligence" may be best defined as. Answer:
refers to data visualization and reporting for understanding "what
happened and what is happening"
-done by the use of charts, tables, and dashboards to display,
examine, and explore data
-next level of business analytics
◉ data mining adds ____________ to data visualization and exploratory
analyses.. Answer: creates value; adds value
statistical and machine-learning methods that inform decision-
making
-ability to cope with huge amounts of data and extract value
-possible other answers could be modeling or prediction
◉ Machine learning refers to algorithms that learn. Answer: learn
directly from data, especially local patterns, often in layered or
iterative fashion
-ex: decision tree
, ◉ Which of the following is not a characterization of Big Data?.
Answer: -Volume, amount of data
-Velocity, flow rate; speed at which it is being generated and changed
-Variety, different types of data being generated (ex: currency, dates,
numbers, text etc)
-Veracity, fact that data is being generated by organic distributed
processes (ex: millions of people signing up for services or free
downloads) and not subject to the controls or quality checks that
apply to data collected for a study
◉ Which of the following is not in the list of skills for a data
scientist?. Answer: Skills are: statistics, machine learning, math,
programming, business, and IT
◉ A categorical variable may be best defined as. Answer: variable
that takes on one of several fixed values
-ex: flight could be on-time, delayed, or canceled
◉ A predictor may be best defined as. Answer: variable, usually
denoted by X, used as an input into a predictive model
-basically an independent variable
-also called a feature, input variable, independent variable, or from a
database perspective, a field
AND ANSWERS
◉ The term "business intelligence" may be best defined as. Answer:
refers to data visualization and reporting for understanding "what
happened and what is happening"
-done by the use of charts, tables, and dashboards to display,
examine, and explore data
-next level of business analytics
◉ data mining adds ____________ to data visualization and exploratory
analyses.. Answer: creates value; adds value
statistical and machine-learning methods that inform decision-
making
-ability to cope with huge amounts of data and extract value
-possible other answers could be modeling or prediction
◉ Machine learning refers to algorithms that learn. Answer: learn
directly from data, especially local patterns, often in layered or
iterative fashion
-ex: decision tree
, ◉ Which of the following is not a characterization of Big Data?.
Answer: -Volume, amount of data
-Velocity, flow rate; speed at which it is being generated and changed
-Variety, different types of data being generated (ex: currency, dates,
numbers, text etc)
-Veracity, fact that data is being generated by organic distributed
processes (ex: millions of people signing up for services or free
downloads) and not subject to the controls or quality checks that
apply to data collected for a study
◉ Which of the following is not in the list of skills for a data
scientist?. Answer: Skills are: statistics, machine learning, math,
programming, business, and IT
◉ A categorical variable may be best defined as. Answer: variable
that takes on one of several fixed values
-ex: flight could be on-time, delayed, or canceled
◉ A predictor may be best defined as. Answer: variable, usually
denoted by X, used as an input into a predictive model
-basically an independent variable
-also called a feature, input variable, independent variable, or from a
database perspective, a field
