Data Processing Data Validation and Quality 2

Question 1

What is data deduplication?

Accepted Answer

Removing duplicate records from a dataset

Answer

Data deduplication is the process of identifying and removing duplicate records to ensure each entry appears only once in a dataset.

Question 2

Which data quality dimension measures how up-to-date data is?

Accepted Answer

Timeliness

Answer

Timeliness measures whether data is available and up-to-date when needed for processing or decision-making.

Question 3

What is referential integrity in relational databases?

Accepted Answer

Foreign keys must correspond to existing primary keys in the referenced table

Answer

Referential integrity ensures that a foreign key value in one table always refers to an existing primary key in the related table.

Question 4

Which method is commonly used to standardize data from multiple sources into a uniform format?

Accepted Answer

Data normalization

Answer

Data normalization reorganizes data into a consistent, standardized format to reduce redundancy and improve data quality across sources.

Question 5

What does 'data completeness' measure?

Accepted Answer

The proportion of required data that is present and not missing

Answer

Data completeness measures whether all required data fields and records are present within the dataset.

Data Processing Practice Test