Get real Data-Driven-Decision-Making exam questions for better preparation
Real WGU Data-Driven-Decision-Making practice exam questions for easy pass!
Updated: Aug 15, 2026
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WGU Data-Driven-Decision-Making Exam Overview:
| Certification Vendor: | Western Governors University (WGU) |
| Exam Name: | C207 Data-Driven Decision Making Objective Assessment |
| Exam Number: | C207 (VPC2) |
| Exam Price: | $0 (included in tuition) |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Exam Format: | Online proctored objective assessment (multiple choice), Competency-based scoring |
| Real Exam Qty: | Approx. 70–90 (varies by version) |
| Certificate Validity Period: | No expiration for course completion within degree program context |
| Recommended Training: | Introductory Statistics / Business Analytics Learning Resources WGU Course Materials (C207 Data-Driven Decision Making) |
| Exam Registration: | WGU Student Portal (Course Enrollment & Exam Scheduling) |
| Sample Questions: | WGU Data-Driven-Decision-Making Sample Questions |
| Exam Way: | Online proctored Objective Assessment (closed-book, remote exam environment) |
| Pre Condition: | None formally required; typically part of WGU business or analytics degree pathway |
| Official Syllabus URL: | https://www.wgu.edu |
WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Probability and Statistical Inference | - Probability concepts and distributions - Sampling methods and sampling error |
| Topic 2: Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Topic 3: Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Topic 4: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Topic 5: Data Fundamentals and Business Analytics | - Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation) |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. A county government must increase trust among voters that their tallying machines are accurately calibrated to count their votes. Each department is tasked with creating an online marketing campaign; however, the budget for these campaigns is limited.
How can the county apply data analytic approaches to allocate funds to each department?
A) By measuring the number of voter complaints per department
B) By benchmarking the voter turnout rates in each county
C) By surveying the county controllers
D) By surveying employees on polling strategies
2. Which two tools make it easier to detect an out-of-range error?
Choose 2 answers.
A) Experimental studies
B) Spreadsheets
C) Observational studies
D) Relational databases
3. What does big data include?
A) Both structured and unstructured data
B) Powerful extraction tools
C) Inferential statistics for large companies
D) Information that can be analyzed with spreadsheets
4. Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set?
Choose 2 answers.
A) The age of the data does not matter if the data are complete.
B) The data cannot contain outliers.
C) The data elements must be unique.
D) The data must be relevant.
5. Which input could be used to create and evaluate a process that would improve an organization's performance?
A) Information from an employee handbook
B) Data gathered from a customer survey
C) Rules and regulations imposed on the banking industry
D) Suggestions from a close competitor
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,D | Question # 3 Answer: A | Question # 4 Answer: C,D | Question # 5 Answer: B |
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