WGU C207 DATA-DRIVEN DECISION MAKING EXAM
2026/2027 | Questions and Verified Answers | 100% Correct
Grade A | Pass Guaranteed
Foundations & Analytics Types
Q1: A retail company analyzes last quarter's sales data to understand which products
performed best. This type of analytics answers which question?
A. What should we do to improve next quarter's sales?
B. What will happen to sales next quarter?
C. What happened to sales last quarter?
D. Why did sales decline in certain regions?
Correct Answer: C
Rationale: Descriptive analytics answers "what happened?" by summarizing historical
data. Prescriptive (option A) recommends actions. Predictive (option B) forecasts future
events. Diagnostic (option D) explains causes—requiring deeper analysis than simple
performance reporting.
Q2: A logistics company uses optimization algorithms to determine the most efficient
delivery routes considering traffic, fuel costs, and delivery windows. This represents:
A. Descriptive analytics
,B. Predictive analytics
C. Prescriptive analytics
D. Diagnostic analytics
Correct Answer: C
Rationale: Prescriptive analytics goes beyond prediction to recommend specific actions
(optimal routes) using optimization and simulation. It answers "what should we do?"
Descriptive (option A) reports history. Predictive (option B) forecasts without
recommending. Diagnostic (option D) explains past causes.
Q3: A healthcare system implements an AI system that not only predicts patient
readmission risk but also suggests personalized intervention protocols for each patient.
This capability represents:
A. Business intelligence reporting
B. Cognitive analytics
C. Simple descriptive statistics
D. Traditional data warehousing
Correct Answer: B
Rationale: Cognitive analytics uses AI/ML to simulate human reasoning, learn from
data, and provide contextual recommendations—going beyond prediction to intelligent
action. Options A, C, and D describe less advanced capabilities without AI-driven
contextual recommendations.
,Q4: In the analytics maturity model, an organization that has mastered reporting and
dashboards but struggles to move beyond historical analysis is at which stage?
A. Predictive analytics
B. Prescriptive analytics
C. Descriptive analytics
D. Cognitive analytics
Correct Answer: C
Rationale: Descriptive maturity focuses on historical reporting and visualization. The
progression is: descriptive → diagnostic → predictive → prescriptive → cognitive.
Options A, B, and D represent more advanced stages the organization hasn't reached.
Q5: A data scientist is exploring customer churn data to understand patterns,
distributions, and potential data quality issues before building models. This CRISP-DM
phase is:
A. Business Understanding
B. Data Understanding
C. Data Preparation
D. Modeling
Correct Answer: B
Rationale: Data Understanding involves initial data collection, exploration, and quality
assessment. Business Understanding (option A) defines objectives. Data Preparation
, (option C) involves cleaning and transformation. Modeling (option D) is algorithm
application.
Q6: A company maintains a centralized repository of integrated, subject-oriented,
time-variant, and non-volatile data for reporting and analysis. This describes:
A. A data lake
B. A data warehouse
C. A data mart
D. An operational database
Correct Answer: B
Rationale: Data warehouses are characterized by integration, subject-orientation,
time-variance, and non-volatility (Inmon's definition). Data lakes (option A) store raw
data. Data marts (option C) are subsets for specific departments. Operational
databases (option D) support transactions, not analytics.
Q7: A marketing team tracks "conversion rate" and "customer acquisition cost" as
quantifiable measures tied to strategic objectives. These are examples of:
A. Dimensions
B. KPIs (Key Performance Indicators)
C. Data attributes
D. Metadata
Correct Answer: B
2026/2027 | Questions and Verified Answers | 100% Correct
Grade A | Pass Guaranteed
Foundations & Analytics Types
Q1: A retail company analyzes last quarter's sales data to understand which products
performed best. This type of analytics answers which question?
A. What should we do to improve next quarter's sales?
B. What will happen to sales next quarter?
C. What happened to sales last quarter?
D. Why did sales decline in certain regions?
Correct Answer: C
Rationale: Descriptive analytics answers "what happened?" by summarizing historical
data. Prescriptive (option A) recommends actions. Predictive (option B) forecasts future
events. Diagnostic (option D) explains causes—requiring deeper analysis than simple
performance reporting.
Q2: A logistics company uses optimization algorithms to determine the most efficient
delivery routes considering traffic, fuel costs, and delivery windows. This represents:
A. Descriptive analytics
,B. Predictive analytics
C. Prescriptive analytics
D. Diagnostic analytics
Correct Answer: C
Rationale: Prescriptive analytics goes beyond prediction to recommend specific actions
(optimal routes) using optimization and simulation. It answers "what should we do?"
Descriptive (option A) reports history. Predictive (option B) forecasts without
recommending. Diagnostic (option D) explains past causes.
Q3: A healthcare system implements an AI system that not only predicts patient
readmission risk but also suggests personalized intervention protocols for each patient.
This capability represents:
A. Business intelligence reporting
B. Cognitive analytics
C. Simple descriptive statistics
D. Traditional data warehousing
Correct Answer: B
Rationale: Cognitive analytics uses AI/ML to simulate human reasoning, learn from
data, and provide contextual recommendations—going beyond prediction to intelligent
action. Options A, C, and D describe less advanced capabilities without AI-driven
contextual recommendations.
,Q4: In the analytics maturity model, an organization that has mastered reporting and
dashboards but struggles to move beyond historical analysis is at which stage?
A. Predictive analytics
B. Prescriptive analytics
C. Descriptive analytics
D. Cognitive analytics
Correct Answer: C
Rationale: Descriptive maturity focuses on historical reporting and visualization. The
progression is: descriptive → diagnostic → predictive → prescriptive → cognitive.
Options A, B, and D represent more advanced stages the organization hasn't reached.
Q5: A data scientist is exploring customer churn data to understand patterns,
distributions, and potential data quality issues before building models. This CRISP-DM
phase is:
A. Business Understanding
B. Data Understanding
C. Data Preparation
D. Modeling
Correct Answer: B
Rationale: Data Understanding involves initial data collection, exploration, and quality
assessment. Business Understanding (option A) defines objectives. Data Preparation
, (option C) involves cleaning and transformation. Modeling (option D) is algorithm
application.
Q6: A company maintains a centralized repository of integrated, subject-oriented,
time-variant, and non-volatile data for reporting and analysis. This describes:
A. A data lake
B. A data warehouse
C. A data mart
D. An operational database
Correct Answer: B
Rationale: Data warehouses are characterized by integration, subject-orientation,
time-variance, and non-volatility (Inmon's definition). Data lakes (option A) store raw
data. Data marts (option C) are subsets for specific departments. Operational
databases (option D) support transactions, not analytics.
Q7: A marketing team tracks "conversion rate" and "customer acquisition cost" as
quantifiable measures tied to strategic objectives. These are examples of:
A. Dimensions
B. KPIs (Key Performance Indicators)
C. Data attributes
D. Metadata
Correct Answer: B
