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Workday Workday-Prism-Analytics Exam Syllabus Topics:

Workday Pro Prism Analytics Sample Questions:

1. The Prism use case is to classify workers based on their pay. You must create a field that evaluates worker pay and returns a value that represents various pay ranges. How would you add this field for inclusion on the Prism data source?

A) Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay.
B) Add the additional field to your raw data before you ingest into Prism.
C) Build a CASE calculated field function on the TBL directly to ease later transformation.
D) Create a derived dataset and build a CASE calculated field to classify workers against their pay.

2. Why should you include Workday instance field types in the Workday report that you use to import data into Prism?

A) Unions are more easily performed with instance field types.
B) Joins are more easily performed with instance field types.
C) The final Prism datasource can support drilling into Workday objects.
D) Performance is improved in the final Prism datasource when published.

3. A Prism administrator wants to hide a field that contains employee salary information but still allow the Prism data writers to view average salaries for employees by cost center. What is the reason for hiding this field?

A) To protect sensitive data.
B) To hide Prism-calculated fields used for interim processing.
C) To use computed values instead of base values.
D) To hide unpopulated or sparse data fields.

4. You want to apply a Filter stage to your derived dataset to show only expense reports submitted in the current month and where the expense report total amount is higher than 2000 USD. What should you do?

A) Use a simple filter, three conditions, and "If All" operator.
B) Use a simple filter, three conditions, and "If Any" operator.
C) Use a simple filter, two conditions, and "If All" operator.
D) Use a simple filter, two conditions, and "If Any" operator.

5. When should a Prism configurator leverage advanced filter logic over basic filter logic?

A) The filter needs to leverage operators such as "greater than or equal to" or "less than or equal to".
B) The filter needs to use operators such as "equal to" or "not equal to".
C) The filter needs a combination of AND/OR operators.
D) The filter needs to remove NULL values.

Solutions: