1
WGU C207 OBJECTIVE ASSESSMENT 2026/2027 |
DATA-DRIVEN DECISION MAKING | EXPERT VERIFIED |
200 QUESTIONS & COMPLETE RATIONALES | PASS
GUARANTEED – A+ GRADED
SECTION 1: ANALYTICS LIFECYCLE & CRISP-DM (Questions 1-15)
Q1: Which of the following is the correct sequence of phases in the CRISP-DM (Cross-Industry
Standard Process for Data Mining) model?
A. Business Understanding → Data Understanding → Data Preparation → Modeling → Evaluation →
Deployment
B. Data Understanding → Business Understanding → Modeling → Evaluation → Deployment → Data
Preparation
C. Business Understanding → Data Preparation → Data Understanding → Modeling → Evaluation →
Deployment
D. Data Understanding → Business Understanding → Data Preparation → Modeling → Evaluation →
Deployment
Correct Answer: A
Rationale: The CRISP-DM model follows a sequential process: Business Understanding → Data
Understanding → Data Preparation → Modeling → Evaluation → Deployment . Business
understanding is the first step to define objectives; data understanding follows to assess available
data; data preparation transforms raw data; modeling applies algorithms; evaluation assesses model
performance; deployment implements the model . Key teaching point: CRISP-DM order: Business
Understanding → Data Understanding → Data Preparation → Modeling → Evaluation →
Deployment.
Q2: Which of the following is a key characteristic of the CRISP-DM methodology?
A. Linear and rigid progression through phases
B. Iterative and flexible progression with feedback loops
C. Focuses exclusively on modeling techniques
D. Does not require business understanding
Correct Answer: B
Rationale: CRISP-DM is iterative and flexible, with feedback loops allowing movement between
phases as needed . It acknowledges that data mining is an iterative process where lessons learned in
later phases can inform earlier ones. Key teaching point: CRISP-DM is iterative and flexible, not
linear.
Q3: What is the primary purpose of the business understanding phase in CRISP-DM?
,2
A. To build the actual model
B. To define project objectives and requirements from a business perspective
C. To clean and transform the data
D. To deploy the model into production
Correct Answer: B
Rationale: The business understanding phase establishes project objectives and requirements from
a business perspective . It ensures that the project aligns with business goals and that success
criteria are defined before any data modeling begins. Key teaching point: Business understanding
defines objectives and success criteria.
Q4: Which phase of CRISP-DM involves converting raw data into a format suitable for modeling?
A. Business Understanding
B. Data Understanding
C. Data Preparation
D. Evaluation
Correct Answer: C
Rationale: The Data Preparation phase involves converting raw data into a format suitable for
modeling . This includes data cleaning, transformation, feature selection, and handling missing
values. Key teaching point: Data Preparation transforms raw data for modeling.
Q5: Which phase of CRISP-DM assesses whether the model meets business objectives?
A. Modeling
B. Evaluation
C. Deployment
D. Data Preparation
Correct Answer: B
Rationale: The Evaluation phase assesses whether the model meets business objectives and
determines if the project should proceed to deployment . It validates the model against success
criteria. Key teaching point: Evaluation validates that the model meets business objectives.
Q6: Which phase of CRISP-DM involves creating the model using data mining techniques?
A. Data Understanding
B. Data Preparation
C. Modeling
D. Evaluation
Correct Answer: C
, 3
Rationale: The Modeling phase involves creating the model using data mining techniques such as
regression, classification, clustering, or decision trees . This is where the actual analysis occurs. Key
teaching point: Modeling applies data mining techniques to create the model.
Q7: The iterative nature of CRISP-DM allows:
A. The project to proceed linearly
B. Movement between phases as new insights emerge
C. The analyst to skip phases
D. Deployment without evaluation
Correct Answer: B
Rationale: The iterative nature of CRISP-DM allows for movement between phases as new insights
emerge . This flexibility enables continuous improvement and adaptation throughout the
process. Key teaching point: Iterative design enables adaptation based on new insights.
Q8: Which CRISP-DM phase is responsible for creating a deployment plan?
A. Business Understanding
B. Modeling
C. Evaluation
D. Deployment
Correct Answer: D
Rationale: The Deployment phase includes creating a deployment plan, monitoring the model, and
producing a final report . This phase transitions the model from development to production. Key
teaching point: Deployment involves planning and implementing the model.
Q9: Which of the following is NOT a phase of CRISP-DM?
A. Data Understanding
B. Data Modeling
C. Data Preparation
D. Business Understanding
Correct Answer: B
Rationale: The phases of CRISP-DM are Business Understanding, Data Understanding, Data
Preparation, Modeling, Evaluation, and Deployment . "Data Modeling" is not a separate phase; the
phase is simply "Modeling." Key teaching point: CRISP-DM phases: Business Understanding, Data
Understanding, Data Preparation, Modeling, Evaluation, Deployment.
Q10: In CRISP-DM, data understanding involves:
A. Defining business objectives
B. Collecting and exploring available data
WGU C207 OBJECTIVE ASSESSMENT 2026/2027 |
DATA-DRIVEN DECISION MAKING | EXPERT VERIFIED |
200 QUESTIONS & COMPLETE RATIONALES | PASS
GUARANTEED – A+ GRADED
SECTION 1: ANALYTICS LIFECYCLE & CRISP-DM (Questions 1-15)
Q1: Which of the following is the correct sequence of phases in the CRISP-DM (Cross-Industry
Standard Process for Data Mining) model?
A. Business Understanding → Data Understanding → Data Preparation → Modeling → Evaluation →
Deployment
B. Data Understanding → Business Understanding → Modeling → Evaluation → Deployment → Data
Preparation
C. Business Understanding → Data Preparation → Data Understanding → Modeling → Evaluation →
Deployment
D. Data Understanding → Business Understanding → Data Preparation → Modeling → Evaluation →
Deployment
Correct Answer: A
Rationale: The CRISP-DM model follows a sequential process: Business Understanding → Data
Understanding → Data Preparation → Modeling → Evaluation → Deployment . Business
understanding is the first step to define objectives; data understanding follows to assess available
data; data preparation transforms raw data; modeling applies algorithms; evaluation assesses model
performance; deployment implements the model . Key teaching point: CRISP-DM order: Business
Understanding → Data Understanding → Data Preparation → Modeling → Evaluation →
Deployment.
Q2: Which of the following is a key characteristic of the CRISP-DM methodology?
A. Linear and rigid progression through phases
B. Iterative and flexible progression with feedback loops
C. Focuses exclusively on modeling techniques
D. Does not require business understanding
Correct Answer: B
Rationale: CRISP-DM is iterative and flexible, with feedback loops allowing movement between
phases as needed . It acknowledges that data mining is an iterative process where lessons learned in
later phases can inform earlier ones. Key teaching point: CRISP-DM is iterative and flexible, not
linear.
Q3: What is the primary purpose of the business understanding phase in CRISP-DM?
,2
A. To build the actual model
B. To define project objectives and requirements from a business perspective
C. To clean and transform the data
D. To deploy the model into production
Correct Answer: B
Rationale: The business understanding phase establishes project objectives and requirements from
a business perspective . It ensures that the project aligns with business goals and that success
criteria are defined before any data modeling begins. Key teaching point: Business understanding
defines objectives and success criteria.
Q4: Which phase of CRISP-DM involves converting raw data into a format suitable for modeling?
A. Business Understanding
B. Data Understanding
C. Data Preparation
D. Evaluation
Correct Answer: C
Rationale: The Data Preparation phase involves converting raw data into a format suitable for
modeling . This includes data cleaning, transformation, feature selection, and handling missing
values. Key teaching point: Data Preparation transforms raw data for modeling.
Q5: Which phase of CRISP-DM assesses whether the model meets business objectives?
A. Modeling
B. Evaluation
C. Deployment
D. Data Preparation
Correct Answer: B
Rationale: The Evaluation phase assesses whether the model meets business objectives and
determines if the project should proceed to deployment . It validates the model against success
criteria. Key teaching point: Evaluation validates that the model meets business objectives.
Q6: Which phase of CRISP-DM involves creating the model using data mining techniques?
A. Data Understanding
B. Data Preparation
C. Modeling
D. Evaluation
Correct Answer: C
, 3
Rationale: The Modeling phase involves creating the model using data mining techniques such as
regression, classification, clustering, or decision trees . This is where the actual analysis occurs. Key
teaching point: Modeling applies data mining techniques to create the model.
Q7: The iterative nature of CRISP-DM allows:
A. The project to proceed linearly
B. Movement between phases as new insights emerge
C. The analyst to skip phases
D. Deployment without evaluation
Correct Answer: B
Rationale: The iterative nature of CRISP-DM allows for movement between phases as new insights
emerge . This flexibility enables continuous improvement and adaptation throughout the
process. Key teaching point: Iterative design enables adaptation based on new insights.
Q8: Which CRISP-DM phase is responsible for creating a deployment plan?
A. Business Understanding
B. Modeling
C. Evaluation
D. Deployment
Correct Answer: D
Rationale: The Deployment phase includes creating a deployment plan, monitoring the model, and
producing a final report . This phase transitions the model from development to production. Key
teaching point: Deployment involves planning and implementing the model.
Q9: Which of the following is NOT a phase of CRISP-DM?
A. Data Understanding
B. Data Modeling
C. Data Preparation
D. Business Understanding
Correct Answer: B
Rationale: The phases of CRISP-DM are Business Understanding, Data Understanding, Data
Preparation, Modeling, Evaluation, and Deployment . "Data Modeling" is not a separate phase; the
phase is simply "Modeling." Key teaching point: CRISP-DM phases: Business Understanding, Data
Understanding, Data Preparation, Modeling, Evaluation, Deployment.
Q10: In CRISP-DM, data understanding involves:
A. Defining business objectives
B. Collecting and exploring available data
