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Data Management & Lifecycle Flashcards

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

Read the first 7 Data Management & Lifecycle flashcards as text
  1. A company discovers that the same customer appears under multiple different IDs across its CRM and billing systems. Which data management problem does this illustrate?

    Answer: Data duplication and lack of entity resolution

    Having the same real-world entity represented under different identifiers across systems is a classic data duplication problem that master data management and entity resolution techniques address.

  2. What is a data catalog primarily used for?

    Answer: Providing a searchable inventory of an organization's data assets with metadata and lineage information

    A data catalog acts as an organized inventory of data assets, enabling data consumers to discover, understand, and trust the data available to them through metadata, lineage, and descriptions.

  3. Data lineage tracking is most useful for which of the following purposes?

    Answer: Tracing the origin, movement, and transformation of data throughout its lifecycle

    Data lineage provides visibility into how data flows from source to destination and what transformations occur along the way, supporting debugging, compliance, and trust.

  4. Which of the following is an example of structured data?

    Answer: A relational database table with defined columns and rows

    Structured data is organized into a predefined format with fixed fields, such as rows and columns in a relational database, making it directly queryable with SQL.

  5. In the context of data management, what is 'schema-on-read'?

    Answer: Applying the data structure interpretation when data is queried rather than when it is stored

    Schema-on-read defers applying a structure to data until it is accessed, commonly used in data lakes where raw data is stored without enforcing a schema upfront.

  6. What is the main advantage of implementing data versioning in a data management strategy?

    Answer: It allows analysts to access and compare historical states of data over time

    Data versioning preserves historical snapshots of data, enabling analysts to audit changes, reproduce past analyses, and understand how data has evolved.

  7. Which role in a data management framework is typically responsible for defining data governance policies and standards at an enterprise level?

    Answer: Chief Data Officer (CDO)

    The Chief Data Officer (CDO) holds executive responsibility for the organization's data strategy, governance policies, and standards across the enterprise.