Assume you have before and after data sets and want to identify and process all of the changes between the two data sets. Assuming data is properly partitioned and sorted, which of the following should be used?
In the Masking Policy Editor in the Data Masking stage of your job, you have specified for a column containing credit card numbers the Random Replacement masking policy. For the Copy option you have specified “(1,2)(3,4)”.
What changes will be made to a credit card number, such as 6327664369, to mask it?
Digits 1 through 2 and digits 3 through 4 will be randomly changed. The rest of the digits will remain the same.
Digits 1 through 2 and digits 3 through 4 will remain the same. The rest of the digits will be randomly changed.
The 2 digits starting at digit 1 and the 4 digits starting at digit 3 will remain the same. The rest of the digits will be randomly changed.
The 2 digits starting at digit 1 and the 4 digits starting at digit 3 will be randomly changed. The rest of the digits will remain the same.
Correct answer: D
Question 3
What is the primary advantage of creating data rules within Information Analyzer as opposed to creating them within the Data Rules stage?
Data rules cannot be created within the Data Rules stage. They must first be created in Information Analyzer before they can be used in the Data Rules stage.
Rules created within Information Analyzer can be tested and debugged on non-operational data in a testing environment before they are put into production.
Rules created in the DataStage Data Rules stage have to be compiled into an executable form before they can be used.
The variables in rules created in DataStage Data Rules stage must first be bound to data columns or literals before they can be run.