ISM3541 FSU LANCE KERWIN FINAL
EXAM | QUESTIONS AND ANSWERS |
GRADED A+
Section 1: Foundational Concepts (Q1-20)
Q1. What is the primary vision of the ISM3541 course as taught by
Professor Lance Kerwin?
A) To create proficient programmers for data-intensive applications
B) To develop a community of deep thinkers passionate about
continuous learning that excel at leading and telling stories supported by
data
C) To train students on the latest machine learning algorithms for
predictive modeling
D) To prepare students for database administration roles in large
organizations
Correct ,,,,answer,,,: B.
Rationale: The course material explicitly states the vision: "to develop a
community of deep thinkers passionate about continuous learning that
excel at leading and telling stories supported by data," highlighting
storytelling and leadership with data. Options A, C, and D describe more
technical or specialized roles, not the broad, strategic vision of this
introductory course.
Q2. According to the course's core framework, success does NOT
start with:
,A) A well-defined business problem
B) The right analytical algorithm
C) Understanding the context
D) Data visualization
Correct ,,,,answer,,,: D.
Rationale: The materials emphasize that "success does not start with
data visualization". Before visualizing anything, you must understand
the context, the problem, and the audience. Data visualization is a
communication tool, not the starting point. The algorithm (B) is chosen
after the problem is defined.
Q3. What is the primary difference between exploratory and
explanatory analysis?
A) Exploratory uses descriptive statistics; explanatory uses inferential
statistics.
B) Exploratory is used for large datasets; explanatory is used for small
datasets.
C) Exploratory is what you do to understand the data and find insights;
explanatory is how you communicate those insights to an audience.
D) Exploratory is a qualitative method; explanatory is a quantitative
method.
Correct ,,,,answer,,,: C.
Rationale: The course defines exploratory analysis as "what you do to
understand the data and determine the headlines" ("hunting for pearls").
Explanatory analysis is applied "when you're at the point of
communicating your analysis to your audience". The other options are
not accurate descriptions of this distinction.
Q4. The analogy of opening 100 oysters to find 2 pearls is used to
describe which process in business analytics?
,A) Data preparation and cleaning
B) Explanatory analysis
C) Exploratory analysis
D) Model deployment
Correct ,,,,answer,,,: C.
Rationale: The "open 100 oysters" analogy describes the trial-and-error
nature of exploratory analysis, where a data scientist might test many
different hypotheses ("open 100 oysters") to find a few valuable insights
("2 pearls"). Explanatory analysis (B) is about presenting the pearls, not
finding them.
Q5. When applying explanatory methods, what are the three
questions you must ask yourself FIRST, according to the course
materials?
A) What data do I have? What tools do I need? What is my timeline?
B) Who is my audience? What do I want them to know or do? How can
I use data to make my point?
C) What is the statistical significance? What is the effect size? What is
the confidence interval?
D) What is the problem? What is the hypothesis? What is the
experiment?
Correct ,,,,answer,,,: B.
Rationale: Before creating any chart or report, you must focus on
communication strategy. The three guiding questions are: "who are you
communicating to," "what do you want your audience to know or do,"
and "how can you use data to help make your point?".
Q6. The "Decisions-Direction-Destination" framework is used to
ensure quality in which area?
A) Data selection
, B) Project management
C) Algorithm development
D) Hypothesis testing
Correct ,,,,answer,,,: B.
Rationale: This framework is part of the course's project management
approach. In order to have quality, you need: Resources (Cost, budget,
and human), Scope (features), and a clear plan to go from Decisions to
Direction to Destination.
Q7. According to the course, what makes data capability a strategic
asset for a company?
A) It is easily replicable by competitors.
B) It is a cost center that can be outsourced.
C) It provides the capability to extract useful knowledge from data to
reduce future uncertainty and gain a competitive advantage.
D) It is the primary responsibility of the IT department.
Correct ,,,,answer,,,: C.
Rationale: The material states that "companies in almost every industry
are focused on exploiting data for competitive advantage" and that "the
capability to extract useful knowledge from data should be regarded as
strategic assets," with a major goal being "reducing future uncertainty".
This makes it a strategic, not merely operational, asset.
Q8. When faced with a new data visualization challenge, the first
step is to:
A) Choose the most complex chart type to show the data.
B) Immediately start designing the visual.
C) Ensure you have a robust understanding of the context and what you
need to communicate.
D) Select the color palette that will make the chart look most appealing.
EXAM | QUESTIONS AND ANSWERS |
GRADED A+
Section 1: Foundational Concepts (Q1-20)
Q1. What is the primary vision of the ISM3541 course as taught by
Professor Lance Kerwin?
A) To create proficient programmers for data-intensive applications
B) To develop a community of deep thinkers passionate about
continuous learning that excel at leading and telling stories supported by
data
C) To train students on the latest machine learning algorithms for
predictive modeling
D) To prepare students for database administration roles in large
organizations
Correct ,,,,answer,,,: B.
Rationale: The course material explicitly states the vision: "to develop a
community of deep thinkers passionate about continuous learning that
excel at leading and telling stories supported by data," highlighting
storytelling and leadership with data. Options A, C, and D describe more
technical or specialized roles, not the broad, strategic vision of this
introductory course.
Q2. According to the course's core framework, success does NOT
start with:
,A) A well-defined business problem
B) The right analytical algorithm
C) Understanding the context
D) Data visualization
Correct ,,,,answer,,,: D.
Rationale: The materials emphasize that "success does not start with
data visualization". Before visualizing anything, you must understand
the context, the problem, and the audience. Data visualization is a
communication tool, not the starting point. The algorithm (B) is chosen
after the problem is defined.
Q3. What is the primary difference between exploratory and
explanatory analysis?
A) Exploratory uses descriptive statistics; explanatory uses inferential
statistics.
B) Exploratory is used for large datasets; explanatory is used for small
datasets.
C) Exploratory is what you do to understand the data and find insights;
explanatory is how you communicate those insights to an audience.
D) Exploratory is a qualitative method; explanatory is a quantitative
method.
Correct ,,,,answer,,,: C.
Rationale: The course defines exploratory analysis as "what you do to
understand the data and determine the headlines" ("hunting for pearls").
Explanatory analysis is applied "when you're at the point of
communicating your analysis to your audience". The other options are
not accurate descriptions of this distinction.
Q4. The analogy of opening 100 oysters to find 2 pearls is used to
describe which process in business analytics?
,A) Data preparation and cleaning
B) Explanatory analysis
C) Exploratory analysis
D) Model deployment
Correct ,,,,answer,,,: C.
Rationale: The "open 100 oysters" analogy describes the trial-and-error
nature of exploratory analysis, where a data scientist might test many
different hypotheses ("open 100 oysters") to find a few valuable insights
("2 pearls"). Explanatory analysis (B) is about presenting the pearls, not
finding them.
Q5. When applying explanatory methods, what are the three
questions you must ask yourself FIRST, according to the course
materials?
A) What data do I have? What tools do I need? What is my timeline?
B) Who is my audience? What do I want them to know or do? How can
I use data to make my point?
C) What is the statistical significance? What is the effect size? What is
the confidence interval?
D) What is the problem? What is the hypothesis? What is the
experiment?
Correct ,,,,answer,,,: B.
Rationale: Before creating any chart or report, you must focus on
communication strategy. The three guiding questions are: "who are you
communicating to," "what do you want your audience to know or do,"
and "how can you use data to help make your point?".
Q6. The "Decisions-Direction-Destination" framework is used to
ensure quality in which area?
A) Data selection
, B) Project management
C) Algorithm development
D) Hypothesis testing
Correct ,,,,answer,,,: B.
Rationale: This framework is part of the course's project management
approach. In order to have quality, you need: Resources (Cost, budget,
and human), Scope (features), and a clear plan to go from Decisions to
Direction to Destination.
Q7. According to the course, what makes data capability a strategic
asset for a company?
A) It is easily replicable by competitors.
B) It is a cost center that can be outsourced.
C) It provides the capability to extract useful knowledge from data to
reduce future uncertainty and gain a competitive advantage.
D) It is the primary responsibility of the IT department.
Correct ,,,,answer,,,: C.
Rationale: The material states that "companies in almost every industry
are focused on exploiting data for competitive advantage" and that "the
capability to extract useful knowledge from data should be regarded as
strategic assets," with a major goal being "reducing future uncertainty".
This makes it a strategic, not merely operational, asset.
Q8. When faced with a new data visualization challenge, the first
step is to:
A) Choose the most complex chart type to show the data.
B) Immediately start designing the visual.
C) Ensure you have a robust understanding of the context and what you
need to communicate.
D) Select the color palette that will make the chart look most appealing.
