Data Processing Data Quality and Validation 1 — Questions and Answers
Question 1: Which data quality dimension measures whether data accurately represents the real-world entity it describes?
- Completeness
- Accuracy (Correct answer)
- Timeliness
- Uniqueness
Correct answer: Accuracy
Data accuracy measures how closely stored data values reflect the true real-world values they are meant to represent.
Question 2: What is data completeness?
- All records are encrypted
- All required fields contain valid non-null values (Correct answer)
- All tables are fully indexed
- All queries return results in under 1 second
Correct answer: All required fields contain valid non-null values
Data completeness measures whether all required fields are populated with valid values, with no missing or null entries where data is expected.
Question 3: What is a data quality rule?
- A network protocol for transferring data
- A defined condition that data must satisfy to be considered valid (Correct answer)
- A backup policy for disaster recovery
- An encryption algorithm for sensitive fields
Correct answer: A defined condition that data must satisfy to be considered valid
A data quality rule specifies conditions — like 'age must be positive' or 'email must contain @' — that data must meet to be valid.
Question 4: What does data profiling involve?
- Encrypting user profile data
- Analyzing a dataset to understand its structure, content, and quality issues (Correct answer)
- Creating user accounts in a database
- Deleting outdated profile records
Correct answer: Analyzing a dataset to understand its structure, content, and quality issues
Data profiling examines datasets to assess structure, distributions, null counts, and anomalies before processing or migration.
Question 5: Which type of data validation checks that a value falls within an acceptable range?
- Format validation
- Range validation (Correct answer)
- Referential integrity check
- Uniqueness check
Correct answer: Range validation
Range validation verifies that a numeric or date value falls within defined minimum and maximum bounds, e.g., age between 0 and 120.
Question 6: What is a data anomaly?
- A correctly formatted record
- An unexpected or inconsistent value that deviates from normal patterns (Correct answer)
- A scheduled data backup
- A foreign key relationship between tables
Correct answer: An unexpected or inconsistent value that deviates from normal patterns
A data anomaly is a value or pattern that deviates unexpectedly from norms, often indicating data entry errors, fraud, or system issues.
Data Processing Data Quality and Validation 1
Which data quality dimension measures whether data accurately represents the real-world entity it describes?