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

Completeness measures whether all required data values are present—checking for null, missing, or empty values that should contain data.

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

Record linkage identifies records from different datasets that represent the same real-world entity, enabling deduplication and data integration.

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

Cross-field consistency rules verify that related fields have logically consistent values, such as a ship date not being earlier than an order date.

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

TDQM treats data as a product and applies product quality principles—defining requirements, measuring quality, and improving processes along the information supply chain.

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

Data accuracy measures whether data values correctly represent the real-world facts or entities they are intended to capture.

CDP - Certified Data Professional Practice Test

CDP - Certified Data Professional Practice Test

CDP Data Quality Management 3