When Should Data Cleansing Be Performed in Data Conversion?
During data conversion, data cleansing is BEST performed prior to:
Community Votes
60% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
Tests the optimal sequencing of data conversion steps, with the trap being confusion between extraction, transformation, and loading phases.
Data cleansing ensures data quality before processing in conversion workflows. This page establishes why cleansing must occur prior to transformation to prevent error propagation.
Load (A) is frequently chosen, but transforming uncleaned data introduces formatting errors that compromise the final database state.
Community Discussion (3 comments)
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Expert Analysis
Why the Answer Is Correct
Data conversion follows a standardized lifecycle where raw information is pulled, refined, formatted, and finally stored. Cleansing must occur prior to transformation because applying mapping rules or calculations to dirty data produces compounding errors. By removing duplicates, correcting formats, and resolving inconsistencies first, auditors ensure that downstream processing operates on reliable records.Why the Other Options Are Wrong
Extraction (D) is the initial step that retrieves raw files, making it impossible to cleanse data that has not yet been retrieved. Validation (C) typically runs concurrently with cleansing or immediately follows extraction to flag rule violations rather than actively repairing them. Loading (A) occurs at the end of the pipeline, meaning transformation would have already processed uncleaned records if cleansing were delayed until after loading.Community Comment Notes
Several candidates like Swallows correctly emphasize that cleansing optimizes quality before mapping changes occur. As Swallows noted, 'optimize the quality and reliability' before processing. Others like topikal suggest extraction first, which is logically required since raw files must exist before cleaning. Debates around loading often overlook that transformation inherently bridges cleansing and final storage.Exam Strategy
Memorize the ETL sequence and understand that data integrity dictates ordering. Always prioritize quality assurance steps like cleansing before any structural changes or final imports occur.
Frequently Asked Questions
Why is cleansing not performed before extraction?
Extraction retrieves raw source data first. Cleansing requires the extracted dataset to identify and remove duplicates, invalid entries, or formatting issues.
Can validation replace data cleansing in conversion?
Validation checks rules while cleansing fixes or removes bad data. Both often occur together before transformation, but cleansing directly addresses quality defects.
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