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Data Warehousing MCQs

A multi-dimensional data set is sparse if:

The data to be analysed is less in volume

If a relatively high percentage of the possible combinations (intersections) of the members from the data set's dimensions contain missing data

If a relatively high percentage of the possible combinations (intersections) of the members from the data set's dimensions contain invalid data

If a relatively high percentage of the possible combinations (intersections) of the members from the data set's dimensions contain valid data

If a relatively high percentage of the possible combinations (intersections) of the members from the data set's dimensions contain outdated data

Answer

Correct Answer: If a relatively high percentage of the possible combinations (intersections) of the members from the data set's dimensions contain missing data

Explanation:

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