CDP Data Quality Management 3

Question 1

In data quality, what does 'completeness' specifically measure?

Accepted Answer

Whether all required data values are present and not null

Answer

Whether data values are accurate and reflect reality

Answer

Whether data is consistent across systems

Answer

Whether data is formatted correctly

Question 2

What is 'record linkage' (also called entity resolution)?

Accepted Answer

The process of identifying records across datasets that refer to the same real-world entity

Answer

Creating foreign key relationships between database tables

Answer

Linking data files in a data lake

Answer

Connecting ETL pipelines between systems

Question 3

Which data quality rule type checks that a value in one field is consistent with a related value in another field?

Accepted Answer

Cross-Field Consistency Rule

Answer

Format Rule

Answer

Range Rule

Answer

Referential Integrity Rule

Question 4

What is the Total Data Quality Management (TDQM) approach focused on?

Accepted Answer

Treating data as a product and applying product quality management principles to improve data along its information supply chain

Answer

Using only automated tools to manage data quality

Answer

Delegating all quality responsibility to the IT department

Answer

Achieving zero defects in data within 90 days

Question 5

What is 'data accuracy' specifically measuring in the six dimensions of data quality?

Accepted Answer

Whether data correctly represents the real-world values it is intended to model

Answer

Whether data is delivered on time

Answer

Whether data follows a specific format

Answer

Whether all required fields are populated

Question 6

Which approach is most effective for sustaining long-term data quality improvements?

Accepted Answer

Embedding data quality rules into data entry and integration processes to prevent defects

Answer

One-time data cleansing projects

Answer

Hiring more data entry staff

Answer

Increasing data storage redundancy