CDS Data Quality Management 1

Question 1

What is the primary objective of Data Quality Management (DQM)?

Accepted Answer

To ensure data is accurate, consistent, and usable

Answer

The primary objective of Data Quality Management (DQM) is to ensure that data is consistently accurate, complete, consistent, timely, and relevant. DQM focuses on defining, measuring, analyzing, and improving the quality of data assets. This ensures data is reliable and fit for its intended purpose, supporting sound business decisions.

Question 2

Which of the following is a key dimension of data quality?

Accepted Answer

Accuracy

Answer

Accuracy is a fundamental dimension of data quality, referring to the extent to which data correctly reflects the real-world facts or events it represents. If data is inaccurate, any analysis or decisions based on it will be flawed. Other key dimensions include completeness, consistency, timeliness, and validity.

Question 3

What does a data quality audit typically assess?

Accepted Answer

Data integrity and conformance to standards

Answer

A data quality audit systematically evaluates data to ensure it is accurate, consistent, and reliable. It specifically assesses data integrity, meaning the accuracy and consistency of data over its lifecycle, and its conformance to predefined business rules and technical standards. This process identifies discrepancies and areas for improvement to ensure data is fit for purpose.

Question 4

What role does data profiling play in DQM?

Accepted Answer

Analyzing data content to assess quality

Answer

Data profiling is a crucial step in Data Quality Management (DQM) that involves examining the data available in an information system. It analyzes the actual content, structure, and quality of data by identifying patterns, anomalies, and potential issues like missing values or inconsistent formats. This analysis provides insights necessary for planning and executing data quality improvement initiatives.

Question 5

Which tool is commonly used to detect data duplicates?

Accepted Answer

Data deduplication software

Answer

Data deduplication software is specifically designed to identify and eliminate redundant copies of data within a dataset or storage system. By comparing data records, it can pinpoint exact or near-exact duplicates, which helps improve data quality, reduce storage costs, and enhance data processing efficiency. Other options like firewalls or antivirus scanners serve different security purposes.

(CDS) Certified Data Steward Practice Test

(CDS) Certified Data Steward Practice Test

CDS Data Quality Management 1