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

2. You want to convert each instance of a multi-instance field and convert it to a single-instance field. What transformation stage can you use to do this?

A) Explode
B) Unpivot
C) Group By
D) Manage Fields

3. What is a feature of using an sFTP connection on a data change task?

A) You can reuse an sFTP connection in multiple data change tasks.
B) You can select multiple target tables in the data change task.
C) You can import an XLSX file from an sFTP server.
D) You can copy sFTP connections.

4. You apply an Explode stage to your derived dataset that contains information on your worker benefit elections. What happens in the resulting stage?

A) The number of rows stays the same and the original multi-instance field does not get dropped.
B) The number of columns stays the same and the original multi-instance field doesn't get dropped.
C) The number of columns exponentially increases and the original multi-instance field gets dropped.
D) The number of rows exponentially increases and the original multi-instance field gets dropped.

5. What is the primary purpose of window functions in Prism?

A) To perform calculations across a set of rows related to the current row while partitioning the data.
B) To provide row-level access control.
C) To filter rows based on specified conditions.
D) To manipulate strings and dates within a query.

Solutions: