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Data Quality Management Flashcards

7 cards from real CDS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which of the following best describes 'data profiling' in a data quality context?

    Answer: Analyzing data to understand its structure, content, and quality characteristics

    Data profiling examines datasets to discover metadata, patterns, anomalies, and quality issues such as nulls, duplicates, and format inconsistencies.

  2. When implementing a 'right-first-time' data quality strategy, what is the primary focus?

    Answer: Preventing defects at the point of data entry or creation

    Right-first-time focuses on defect prevention at the source rather than downstream correction, reducing the cost of poor data quality.

  3. A data quality rule flags all ZIP codes that do not match the U.S. five-digit or ZIP+4 format. This is an example of which type of rule?

    Answer: Format/pattern rule

    Format (or pattern) rules validate that data values conform to a specific syntactic structure, such as a regular expression for ZIP codes.

  4. What is the COST OF POOR DATA QUALITY (CPDQ) model primarily used for?

    Answer: Quantifying the financial impact of data defects to justify DQ investments

    The CPDQ model quantifies costs such as rework, failed decisions, compliance fines, and lost revenue to build a business case for data quality programs.

  5. Which data quality technique involves comparing data against a trusted external reference source to verify accuracy?

    Answer: Data reconciliation with a golden record

    Reconciling data against a golden record or authoritative external source validates that internal data accurately reflects the real-world values it represents.

  6. In a data quality framework, what distinguishes a 'critical data element' (CDE) from a regular data element?

    Answer: CDEs have a disproportionate impact on business outcomes if they are incorrect

    Critical Data Elements are those whose accuracy, completeness, or timeliness directly drives key business decisions, regulatory reporting, or customer outcomes.

  7. Which of the following is a key output of a Data Quality Assessment (DQA)?

    Answer: A prioritized inventory of data quality issues with business impact ratings

    A DQA produces a documented inventory of issues ranked by severity and business impact, which guides remediation priorities and resource allocation.

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