Answer to Question 1
TRUE
Answer to Question 2
Data in operational databases can suffer from a number of problems. These include: (1 ) Dirty datadata that has problems with it, for example an age of 323; (2 ) Missing valuesdata values that are unknown, for example a person's age; (3 ) Inconsistent dataOld data values that needed to be updated may not have been, for example a ZIP code in an area that was split into two new ZIP codes; (4 ) Data not integratedwhen data from two or more data sets is used, the data may be from two or more different DBMSs; (5 ) Data in the wrong formatdata values may have been recorded using inappropriate units for the needed analysis, for example, distance may have been recorded in miles when we need meters; (6 ) Too much dataIt is possible to simply have very large data sets in terms of records or fields.
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