Page 1 of 137
WGU C207 EXAM / WGU C207 DATA
DRIVEN DECISION MAKING FINAL EXAM
2026 COMPLETE ACCURATE EXAM REAL
QUESTIONS AND CORRECT DETAILED
ANSWERS (100% CORRECT VERIFIED
SOLUTIONS) A NEW UPDATED VERSION
|GUARANTEED PASS A+
Q1.
A healthcare system wants to reduce patient readmission rates.
They have historical data on patient demographics, treatments,
and readmission outcomes. What is the FIRST step in the
analytics lifecycle?
,Page 2 of 137
A. Build a predictive model
B. Define the business problem
C. Collect data from multiple sources
D. Deploy the model into clinical workflow
Answer: B. Define the business problem
Rationale: Without a clear problem definition, subsequent
steps lack direction. The analytics lifecycle always begins with
understanding the business need.
Q2.
A retail chain notes that sales drop every Tuesday. They use
past transaction data to confirm this. Which analytics phase
are they in?
A. Data exploration
B. Model deployment
C. Prescriptive analytics
D. Data collection
,Page 3 of 137
Answer: A. Data exploration
Rationale: Data exploration involves examining historical data
to identify patterns and anomalies before modeling.
Q3.
Which of the following is an example of structured data?
A. Social media comments
B. MRI scan images
C. Excel spreadsheet of monthly sales
D. Call center audio recordings
Answer: C. Excel spreadsheet of monthly sales
Rationale: Structured data is organized in rows and columns.
Unstructured data includes text, images, and audio.
Q4.
A logistics company is trying to decide whether to build a new
warehouse. They look at past data on delivery times, fuel
costs, and customer complaints. This is an example of:
A. Descriptive analytics
, Page 4 of 137
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Answer: A. Descriptive analytics
Rationale: Descriptive analytics summarizes what has
happened. No prediction or optimization is being done yet.
Q5.
During which phase of the analytics lifecycle do you identify
data gaps and assess data quality?
A. Business understanding
B. Data preparation
C. Modeling
D. Evaluation
Answer: B. Data preparation
Rationale: Data preparation includes cleaning, transforming,
and assessing data quality and completeness.
WGU C207 EXAM / WGU C207 DATA
DRIVEN DECISION MAKING FINAL EXAM
2026 COMPLETE ACCURATE EXAM REAL
QUESTIONS AND CORRECT DETAILED
ANSWERS (100% CORRECT VERIFIED
SOLUTIONS) A NEW UPDATED VERSION
|GUARANTEED PASS A+
Q1.
A healthcare system wants to reduce patient readmission rates.
They have historical data on patient demographics, treatments,
and readmission outcomes. What is the FIRST step in the
analytics lifecycle?
,Page 2 of 137
A. Build a predictive model
B. Define the business problem
C. Collect data from multiple sources
D. Deploy the model into clinical workflow
Answer: B. Define the business problem
Rationale: Without a clear problem definition, subsequent
steps lack direction. The analytics lifecycle always begins with
understanding the business need.
Q2.
A retail chain notes that sales drop every Tuesday. They use
past transaction data to confirm this. Which analytics phase
are they in?
A. Data exploration
B. Model deployment
C. Prescriptive analytics
D. Data collection
,Page 3 of 137
Answer: A. Data exploration
Rationale: Data exploration involves examining historical data
to identify patterns and anomalies before modeling.
Q3.
Which of the following is an example of structured data?
A. Social media comments
B. MRI scan images
C. Excel spreadsheet of monthly sales
D. Call center audio recordings
Answer: C. Excel spreadsheet of monthly sales
Rationale: Structured data is organized in rows and columns.
Unstructured data includes text, images, and audio.
Q4.
A logistics company is trying to decide whether to build a new
warehouse. They look at past data on delivery times, fuel
costs, and customer complaints. This is an example of:
A. Descriptive analytics
, Page 4 of 137
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Answer: A. Descriptive analytics
Rationale: Descriptive analytics summarizes what has
happened. No prediction or optimization is being done yet.
Q5.
During which phase of the analytics lifecycle do you identify
data gaps and assess data quality?
A. Business understanding
B. Data preparation
C. Modeling
D. Evaluation
Answer: B. Data preparation
Rationale: Data preparation includes cleaning, transforming,
and assessing data quality and completeness.
