WGU D468 – Discovering Data Objective Assessment (OA) | Questions and Answers | 2026
Update | 100% Correct.
WGU D468 – Discovering Data
100-Question OA-Style Mock Exam
Format: Multiple Choice (A–D)
Domain 1: Data Concepts & Foundations
1. Which type of data represents categories without a natural order?
A. Ordinal
B. Nominal
C. Interval
D. Ratio
Answer: B
Rationale: Nominal data classifies items into categories with no inherent ranking.
2. Which example best represents ratio data?
A. Temperature in Celsius
B. Survey satisfaction levels
C. Number of website visits
D. Letter grades
Answer: C
Rationale: Ratio data has a true zero, allowing meaningful comparisons.
3. What is metadata?
A. Raw data collected from sources
B. Data about data
C. Processed data ready for analysis
D. Visualization of data
Answer: B
Rationale: Metadata describes structure, meaning, and context of data.
4. Which data type is best suited for yes/no values?
A. Continuous
,B. Ordinal
C. Binary
D. Nominal
Answer: C
Rationale: Binary data has exactly two possible values.
5. Structured data is best described as:
A. Free-text documents
B. Social media posts
C. Data stored in rows and columns
D. Audio and video files
Answer: C
Rationale: Structured data follows a predefined schema, such as tables.
Domain 2: Data Collection & Sources
6. Which is an example of primary data?
A. Government census report
B. Company sales survey conducted internally
C. Industry white paper
D. Published research article
Answer: B
Rationale: Primary data is collected directly for a specific purpose.
7. Which source is most reliable for real-time stock prices?
A. Historical database
B. Static PDF report
C. Live API feed
D. Archived spreadsheet
Answer: C
Rationale: APIs provide near real-time data updates.
8. What is a major risk of using third-party data?
A. Excessive accuracy
B. Lack of availability
C. Unknown data quality
D. Over-documentation
,Answer: C
Rationale: External data sources may not meet quality or relevance standards.
9. Which method is best for collecting qualitative data?
A. Automated sensors
B. Transaction logs
C. Interviews
D. System metrics
Answer: C
Rationale: Interviews capture descriptive, non-numeric information.
10. Data collected automatically from systems is known as:
A. Survey data
B. Observational data
C. System-generated data
D. Manual data
Answer: C
Rationale: System-generated data is created through automated processes.
Domain 3: Data Quality
11. Which dimension of data quality refers to correctness?
A. Timeliness
B. Accuracy
C. Completeness
D. Consistency
Answer: B
Rationale: Accuracy measures how closely data reflects real values.
12. Missing values primarily affect which data quality dimension?
A. Accuracy
B. Validity
C. Completeness
D. Uniqueness
Answer: C
Rationale: Completeness concerns whether all required data is present.
, 13. Duplicate customer records violate which quality principle?
A. Accuracy
B. Uniqueness
C. Timeliness
D. Validity
Answer: B
Rationale: Uniqueness ensures each entity is recorded once.
14. A date field containing letters violates:
A. Completeness
B. Consistency
C. Validity
D. Timeliness
Answer: C
Rationale: Validity ensures data conforms to defined formats and rules.
15. Which practice improves data consistency?
A. Allowing free-text entry
B. Standardizing formats
C. Increasing sample size
D. Removing metadata
Answer: B
Rationale: Standard formats reduce variation across datasets.
Domain 4: Data Governance & Ethics
16. Data governance primarily focuses on:
A. Hardware performance
B. Data visualization
C. Policies and accountability
D. Machine learning
Answer: C
Rationale: Governance defines ownership, standards, and controls.
17. Which role is responsible for data quality within a domain?
A. Data analyst
B. Data steward
C. Database administrator
Update | 100% Correct.
WGU D468 – Discovering Data
100-Question OA-Style Mock Exam
Format: Multiple Choice (A–D)
Domain 1: Data Concepts & Foundations
1. Which type of data represents categories without a natural order?
A. Ordinal
B. Nominal
C. Interval
D. Ratio
Answer: B
Rationale: Nominal data classifies items into categories with no inherent ranking.
2. Which example best represents ratio data?
A. Temperature in Celsius
B. Survey satisfaction levels
C. Number of website visits
D. Letter grades
Answer: C
Rationale: Ratio data has a true zero, allowing meaningful comparisons.
3. What is metadata?
A. Raw data collected from sources
B. Data about data
C. Processed data ready for analysis
D. Visualization of data
Answer: B
Rationale: Metadata describes structure, meaning, and context of data.
4. Which data type is best suited for yes/no values?
A. Continuous
,B. Ordinal
C. Binary
D. Nominal
Answer: C
Rationale: Binary data has exactly two possible values.
5. Structured data is best described as:
A. Free-text documents
B. Social media posts
C. Data stored in rows and columns
D. Audio and video files
Answer: C
Rationale: Structured data follows a predefined schema, such as tables.
Domain 2: Data Collection & Sources
6. Which is an example of primary data?
A. Government census report
B. Company sales survey conducted internally
C. Industry white paper
D. Published research article
Answer: B
Rationale: Primary data is collected directly for a specific purpose.
7. Which source is most reliable for real-time stock prices?
A. Historical database
B. Static PDF report
C. Live API feed
D. Archived spreadsheet
Answer: C
Rationale: APIs provide near real-time data updates.
8. What is a major risk of using third-party data?
A. Excessive accuracy
B. Lack of availability
C. Unknown data quality
D. Over-documentation
,Answer: C
Rationale: External data sources may not meet quality or relevance standards.
9. Which method is best for collecting qualitative data?
A. Automated sensors
B. Transaction logs
C. Interviews
D. System metrics
Answer: C
Rationale: Interviews capture descriptive, non-numeric information.
10. Data collected automatically from systems is known as:
A. Survey data
B. Observational data
C. System-generated data
D. Manual data
Answer: C
Rationale: System-generated data is created through automated processes.
Domain 3: Data Quality
11. Which dimension of data quality refers to correctness?
A. Timeliness
B. Accuracy
C. Completeness
D. Consistency
Answer: B
Rationale: Accuracy measures how closely data reflects real values.
12. Missing values primarily affect which data quality dimension?
A. Accuracy
B. Validity
C. Completeness
D. Uniqueness
Answer: C
Rationale: Completeness concerns whether all required data is present.
, 13. Duplicate customer records violate which quality principle?
A. Accuracy
B. Uniqueness
C. Timeliness
D. Validity
Answer: B
Rationale: Uniqueness ensures each entity is recorded once.
14. A date field containing letters violates:
A. Completeness
B. Consistency
C. Validity
D. Timeliness
Answer: C
Rationale: Validity ensures data conforms to defined formats and rules.
15. Which practice improves data consistency?
A. Allowing free-text entry
B. Standardizing formats
C. Increasing sample size
D. Removing metadata
Answer: B
Rationale: Standard formats reduce variation across datasets.
Domain 4: Data Governance & Ethics
16. Data governance primarily focuses on:
A. Hardware performance
B. Data visualization
C. Policies and accountability
D. Machine learning
Answer: C
Rationale: Governance defines ownership, standards, and controls.
17. Which role is responsible for data quality within a domain?
A. Data analyst
B. Data steward
C. Database administrator
