What term is used to identify disabled or obsolete columns in a data model?

Study for the Cogito – Clarity Data Model Test. Explore multiple choice questions with helpful hints and detailed explanations to ensure exam success! Prepare confidently for a brighter data-driven career.

Multiple Choice

What term is used to identify disabled or obsolete columns in a data model?

Explanation:
Deprecation is the label used for disabled or obsolete columns in a data model. When a column is deprecated, it’s marked as outdated and should not be used in new development, even though it remains in the schema for compatibility and historical auditing during a transition. This lets teams slowly phase it out, update documentation, and plan removal without breaking existing reports or pipelines. The other terms refer to data movement or loading methods rather than the status of a column: extracted describes data retrieval, a full load describes how data is loaded, and ETL is the overall process of extracting, transforming, and loading.

Deprecation is the label used for disabled or obsolete columns in a data model. When a column is deprecated, it’s marked as outdated and should not be used in new development, even though it remains in the schema for compatibility and historical auditing during a transition. This lets teams slowly phase it out, update documentation, and plan removal without breaking existing reports or pipelines. The other terms refer to data movement or loading methods rather than the status of a column: extracted describes data retrieval, a full load describes how data is loaded, and ETL is the overall process of extracting, transforming, and loading.

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