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Workday Workday-Prism-Analytics Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Workday Adaptive Planning Integration | 15-20% | - Integration best practices - Connecting to Adaptive Planning - Building analytics on planning data |
| Data Modeling and Integration | 25-30% | - Data security and permissions - Creating and managing data sources - Data blending and unions - ETL processes and data transformation - Advanced calculated fields |
| Workday Prism Analytics Reports | 25-30% | - Advanced filtering and prompts - Dashboard design and best practices - Report types and templates - Chart types and visualizations - Conditional formatting |
| Performance Optimization and Troubleshooting | 10-15% | - Data refresh and synchronization issues - Common error resolution - Report performance tuning |
| Workday Prism Analytics Overview | 8-12% | - Prism Analytics vs traditional reporting - Key features and capabilities - Understanding Prism Analytics architecture |
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) Map the Numeric field to the table Text field.
B) Change the field type in the parsing stage from Numeric to Text.
C) Use a different source file, as the field types are incompatible.
D) Change the connection type for the data change task.
2. You want to remove data within a Prism data source without deleting any dependent custom reports. What task can you use to do this?
A) Delete Dataset
B) Unpublish Dataset
C) Inactivate Dataset
D) Delete Published Rows
3. What is the primary purpose of window functions in Prism?
A) To provide row-level access control.
B) To filter rows based on specified conditions.
C) To manipulate strings and dates within a query.
D) To perform calculations across a set of rows related to the current row while partitioning the data.
4. For a Prism use case, you have two datasets: one contains daily sales data, and the other contains monthly budget allocations. Before performing a join between these datasets, what transformation stage should you apply to the sales data to ensure it matches the granularity of the budget data?
A) Union
B) Group By
C) Filter
D) Manage Fields
5. You want to use a custom report containing prompts as a source connection for a table. What must you ensure to make this possible?
A) The report is built on an indexed data source.
B) The prompts are mapped at the data change task level.
C) The prompts are marked as required.
D) The custom report prompts have default values assigned on the report definition.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |
