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Showing 1–12 of 12 questions
What does data quality ultimately describe?
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Which dimension measures whether values are correct?
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What does completeness assess in a dataset?
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Which dimension concerns duplicate records existing?
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What does timeliness mean for data consumers?
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Which dimension checks conformance to formats and rules?
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Which two are recognised quality dimensions? (Choose two.)
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Which two statements describe data quality? (Choose two.)
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Which two problems indicate poor quality? (Choose two.)
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DRAG DROP
Match each dimension to its question.
Items to match: Accuracy, Completeness, Uniqueness, Timeliness.
Answer is in the explanation below.
CORRECT TEXT
Data that correctly represents the real world is said to have high ______.
Answer is in the explanation below.
DRAG DROP
Match each profiling type to its focus.
Items to match: Column profiling, Cross-column profiling, Dependency profiling, Redundancy profiling.
Answer is in the explanation below.
