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Workday Workday-Prism-Analytics Exam Syllabus Topics:

Workday Pro Prism Analytics Sample Questions:

1. You are loading data into a table using the Data Change task. The field type in the source file is Numeric and the table field type is Text. What can you do to load the data?

A) Change the field type in the parsing stage from Numeric to Text.
B) Change the connection type for the data change task.
C) Map the Numeric field to the table Text field.
D) Use a different source file, as the field types are incompatible.

2. A Prism data administrator notices that several of the Prism calculated fields on their lineage are producing nil results, so they need to revise the expressions for all of the affected calculated fields. Where can they review the expressions in bulk?

A) The table or dataset where the calculated field was created.
B) Any table in the lineage.
C) Any dataset in the lineage.
D) The View Dataset Lineage report.

3. The final derived dataset in a Prism pipeline is complete and ready to publish. What should be done prior to publishing?

A) Edit the Dataset API Name to reflect in the name of the Prism data source.
B) Create a derived dataset with the PDS suffix.
C) Create a table without the Enable for Analysis checkbox selected.
D) Add a Group By stage to the final derived dataset to add summary calculations.

4. A report that uses a Prism data source that you created has a brand new requirement that Expense Partner by Location should only see expense reports for workers for the locations they support. Given that you have the Location Hierarchy (instance) field in your dataset used for publishing, how can you adjust to meet the requirement?

A) Run the Edit Data Source Security task to update row-level security and then republish the PDS.
B) Run the Edit Data Source Security task to update the Securing Entities and then republish the PDS.
C) Run the Edit Data Source Security task to update the Securing Entities.
D) Run the Edit Data Source Security task to update row-level security.

5. In a Prism project, you have a dataset containing customer purchase transactions, including the customer ID, purchase amount, and purchase date. You want to analyze the total purchase amount for each customer over the entire period. What transformation stage should you apply to calculate the total purchase amount for each customer?

A) Explode
B) Group By
C) Union
D) Join

Solutions: