Question 1

Which three actions will help avoid or identify a multiply proven attribute error?

Options :

A : Double-click the attribute on the Interview tab to see if the attribute is used on multiple screens.

B : Use the ''Go To'' option in Word to see if the attribute is proven in another rule.

C : Right-click the attribute on the Data tab to see if the attribute is proven in another rule.

D : Right-click the attribute on the Project tab to see if the attribute is used in multiple forms.

E : Check the error list on the Rules tab for multiply proven attribute errors.

Answer: A,C,D

Question 2

What is the purpose of an interview goal?

Options :

A : to ensure that all necessary data needed to display an explanation has been collected

B : to test the policy model

C : to collect data on why the end user is using the interview

D : to identify the top-level attributes in the policy model

Answer: C

Question 3

You wrote this rule: Drag-Image-4e7e50574-9ccc-41e5-8243-d966d000d777 How many attributes does it contain?

Options :

A : Three

B : Ten

C : Two

D : Six

E : Seven

F : Five

G : Nine

H : Eight

I : Four

Answer: A

Question 4

Which three options will result in an error due to incorrect use of grouping operators?

Options :

A :

B :

C :

D :

E :

F :

Answer: A,C

Question 5

Which two statements are correct for a Policy Automation project team?

Options :

A : It is common for the rule author to be the lead tester.

B : Subject matter experts may advise on policy interpretation, but they should not write the Policy Automation rules.

C : It is common for the rule author to create the interview screens.

D : The primary user of Policy Modeling on a project should be the technical developer.

E : Policy Automation projects must have multiple rule authors.

F : Policy Automation project teams typically include both technical and nontechnical roles.

Answer: A,C

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