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Workday Prism Analytics Exam Questions
- Topic 1: Prism Analytics: This section of the exam measures the skills of Data Analysts and covers the foundational aspects of Workday Prism Analytics. It includes understanding how to ingest, blend, and transform data from both Workday and external sources. Candidates are expected to demonstrate proficiency in creating datasets, applying transformations, and managing data pipelines within the Prism environment. The focus is on enabling analysts to prepare data for comprehensive reporting and analysis.
- Topic 2: Reporting: This section of the exam measures the skills of Report Developers and covers the creation and customization of reports within Workday. It encompasses building advanced reports, utilizing calculated fields, and integrating Prism datasets into reporting structures. Candidates should be adept at designing reports that provide actionable insights, leveraging Workday's reporting tools to meet organizational needs.
- Topic 3: Workday: This section of the exam measures the skills of Workday Administrators and covers the broader Workday ecosystem's functionalities. It includes understanding Workday's security model, data governance, and the integration of Prism Analytics within the Workday platform. Candidates are expected to manage user access, configure security settings, and ensure data integrity across the system.
Free Workday Workday Prism Analytics Exam Actual Questions
Note: Premium Questions for Workday Prism Analytics were last updated On Jul. 14, 2025 (see below)
[Data Prep and Transformation]
What is a feature of using an sFTP connection on a data change task?
[Datasets and Data Sources]
While viewing your lineage, you realize you have forgotten to add a description to some of your derived datasets. From the lineage, you double-click on a dataset to view the dataset details. What is the next step to add the missing descriptions?
[Data Prep and Transformation]
You have to blend two sources of dat
a. Your matching field is Employee ID, which is a text-type field in Pipeline 1, but is numeric in Pipeline 2. How do you prepare your data for blending?
[Data Prep and Transformation]
A Prism data administrator needs to add an Explode stage to a derived dataset to create a new single-instance type field. What is the only field type you can select in the Explode stage?
[Data Prep and Transformation]
You apply an Explode stage to your derived dataset that contains information on your worker benefit elections. What happens in the resulting stage?
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