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Workday Workday-Prism-Analytics Exam Syllabus Topics:

SectionObjectives
Analytics and Reporting- Data analysis in Prism
  • 1. Filtering and aggregations
    • 2. Calculations and derived fields
      - Reporting and dashboards
      • 1. Visualization and sharing insights
        • 2. Building Prism reports
          Security and Governance- Data compliance
          • 1. Audit and governance practices
            • 2. Data lifecycle management
              - Data security model
              • 1. Row-level security concepts
                • 2. Access control and permissions
                  Workday Prism Analytics Fundamentals- Introduction to Prism Analytics
                  • 1. Core concepts and use cases
                    • 2. Prism data pipeline overview
                      - Data ingestion and preparation
                      • 1. Data sources and connectors
                        • 2. Data transformation concepts
                          Data Modeling and Workflows- Prism data workflows
                          • 1. Pipeline scheduling and execution
                            • 2. Error handling and monitoring
                              - Dataset creation and management
                              • 1. Business object mapping
                                • 2. Dataset validation and refresh

                                  Workday Pro Prism Analytics Sample Questions:

                                  1. 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) Filter
                                  B) Manage Fields
                                  C) Group By
                                  D) Union


                                  2. A Prism data writer has two pipelines of data that need to be joined together:
                                  * The primary pipeline includes point of sale data by sales agent.
                                  * The secondary pipeline includes performance rating by sales agent.
                                  The requirement is to keep all of the point of sale data from the primary pipeline and blend in performance rating data for the agents from the secondary pipeline where it exists. What Join type should be used to blend the data together?

                                  A) Inner Join
                                  B) Left Outer Join
                                  C) Full Outer Join
                                  D) Right Outer Join


                                  3. You created a derived dataset that imports data from a table, which will become your Stage 1. What can you add to this dataset?

                                  A) As many transformation stages of any type as long as they are in a particular order.
                                  B) As many transformation stages of any type as your scenario requires.
                                  C) Up to five transformation stages.
                                  D) Up to two Manage Fields transformation stages.


                                  4. You have two tables. One with employee data from Workday and another with learner data from an external system. Both tables have an Employee ID field.
                                  In the Employee Data TBL, Employee ID is text.

                                  In the Learner Data TBL, Employee ID is numeric.

                                  How can you prepare to join these tables, without the potential loss of data?

                                  A) Change the field type of Employee ID directly on the Employee Data TBL from text to numeric.
                                  B) Import the Employee Data TBL into a DDS and change the field type of Employee ID from text to numeric using a Manage Fields stage.
                                  C) Change the field type of Employee ID directly on the Learner Data TBL from Numeric to Text.
                                  D) Import the Learner Data TBL into a DDS and change the field type of Employee ID from numeric to text using a Manage Fields stage.


                                  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:

                                  Question # 1
                                  Answer: C
                                  Question # 2
                                  Answer: B
                                  Question # 3
                                  Answer: B
                                  Question # 4
                                  Answer: D
                                  Question # 5
                                  Answer: A

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