Data Quality Quiz: Do You Know Accuracy, Completeness & Validity?

1. Which of the following best describes data consistency?

Data is always encrypted and secure

Data remains the same across all systems and databases

Data is backed up regularly

Data is compressed for storage efficiency

Submit

3. Data quality issues can result in which of the following?

Improved system performance

Poor business decisions and compliance violations

Reduced licensing costs

Simplified database structure

4. Which activity is essential for maintaining data quality over time?

Monitoring and auditing data continuously

Deleting old records

Increasing storage capacity

Limiting user access

Submit

6. True or False: Data quality requirements are the same for all industries and use cases.

True

False

7. Which of the following is NOT typically a dimension of data quality?

Accuracy

Completeness

Scalability

Validity

Submit

9. Master data management (MDM) primarily addresses which aspect of data quality?

Network security

Consistency of core business entities

User authentication

Server uptime

10. What is a data quality metric used to measure?

The physical size of databases

The performance of specific data quality dimensions

The number of users accessing the system

The age of hardware infrastructure

11. Data quality refers to the degree to which data meets which of the following criteria?

Storage capacity and processing speed

Accuracy, completeness, consistency, and validity

User interface design and accessibility

Cost efficiency and backup frequency

Submit

13. Which tool or technique helps identify duplicate records in a dataset?

Data encryption

Record matching and deduplication

Compression algorithms

Load balancing

14. True or False: Data quality is a one-time initiative rather than an ongoing process.

True

False

Submit

16. Which of the following is a common cause of poor data quality?

Manual data entry errors

Insufficient database servers

Too many user accounts

High network bandwidth

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18. What does data accuracy refer to in the context of Data Quality (Data+)?

The presence of all required data fields

Data conforming to defined formats and rules

Data correctly representing real-world entities

Data being available when needed

19. Which dimension of data quality measures whether data values fall within acceptable ranges?

Accuracy

Completeness

Validity

Timeliness

Data Quality Quiz: Do You Know Accuracy, Completeness & Validity?

1. Which of the following best describes data consistency?

2.

What first name or nickname would you like us to use?

2. Reference data is used in data quality processes to ____.

3. Data quality issues can result in which of the following?

4. Which activity is essential for maintaining data quality over time?

5. A data governance framework helps ensure data quality by establishing ____.

6. True or False: Data quality requirements are the same for all industries and use cases.

7. Which of the following is NOT typically a dimension of data quality?

8. Data cleansing involves ____.

9. Master data management (MDM) primarily addresses which aspect of data quality?

10. What is a data quality metric used to measure?

11. Data quality refers to the degree to which data meets which of the following criteria?

12. Data validation rules are used to ____.

13. Which tool or technique helps identify duplicate records in a dataset?

14. True or False: Data quality is a one-time initiative rather than an ongoing process.

15. Data profiling is primarily used to ____.

16. Which of the following is a common cause of poor data quality?

17. Completeness in data quality ensures that ____.

18. What does data accuracy refer to in the context of Data Quality (Data+)?

19. Which dimension of data quality measures whether data values fall within acceptable ranges?