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IBM InfoSphere Information Analyzer v9.1 Sample Questions:

1. Which two can be used to identify exception descriptors of interest in the Data Quality Console?

A) View rule exceptions on the All Quality Controls chart on the Home page
B) View rule definitions on the Data Quality tab
C) View exception descriptors on the Home page
D) Use the search criteria on the Exceptions page
E) View exception descriptors on the Data Rule Execution History page

2. What column analysis process will infer a data class for each column in your data making it easier to compare domains of data?

A) Table analysis
B) Domain analysis
C) Data Classification analysis
D) Baseline analysis

3. You have a Quantity field with the precision of two and it cannot have a negative or zero value. What steps can be taken to identify the Invalid values?

A) Open Domain & Completeness tab; Set Domain Type to Value; Enter Minimum value of 0.00; Select Invalid radio button; Click Reload; Save
B) Open Domain & Completeness tab; Set Domain Type to Range; Enter Minimum value of 0.01; Click Reload; Save
C) Open Format tab; Set Format Mask to +0.00; Click Apply Format Mask; Save
D) Open Domain & Completeness tab; Set Domain Type to Range; Enter Maximum value of 0.00; Click Reload; Save

4. You are searching for an employee named Kristie Jones who has accounts on various applications, in which she has used the first names Kristie, Kristin, and Kristen as her first name.
Which is the correct rule logic for addressing this problem?

A) name contains ('KristieTKristinTKristen'^rJones'
B) name matches (,KristieTKristinTKristen,)[]'Jones,
C) name like ('KristieTKristinTKristen')[ ]'Jones'
D) name matches_regex ('Kristie'l'KristinTKristen^j'Jones'

5. What steps are required to start working with data rules?

A) Navigate in the console to the Home menu and select My Rules.
B) Navigate in the console to the Investigate menu and select Data Rules.
C) Navigate in the console to the Data Quality menu and select Data Rules
D) Navigate in the console to the Develop menu and select Data Quality.

Solutions: