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Workday Workday-Prism-Analytics Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation and Transformation | 35% | - Data Blending and Modeling
|
| Topic 2: Publishing, Security and Governance | 20% | - Publishing Datasets
|
| Topic 3: Prism Analytics Fundamentals | 30% | - Overview and Architecture
|
| Topic 4: Reporting and Visualization | 15% | - Integrating with Workday Reports
|
Workday Pro Prism Analytics Sample Questions:
1. You explode the Language Skills multi-instance field on your derived dataset and you want to change the business object that the new Language Skills Exploded instance field is mapped to. What steps should you take?
A) Select from the list of suggested BO values in the Explode stage configuration.
B) Add a Manage Fields before the Explode stage and modify the business object.
C) Click on the Related Actions next to the business object in the insight panel.
D) Add a Manage Fields after the Explode stage and modify the business object.
2. 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 copy sFTP connections.
C) You can import an XLSX file from an sFTP server.
D) You can select multiple target tables in the data change task.
3. A Prism data writer has to create an intermediary Prism calculated field A, used only to achieve a final result in Prism calculated field B and they only need to publish out field B. What should they do?
A) Delete field A from their DDS and just leave field B.
B) Add a Manage Fields stage to the DDS and hide field A.
C) Mark field A as intermediate calculation.
D) Add a Manage Fields stage to the DDS and hide field B.
4. When should a Prism configurator leverage advanced filter logic over basic filter logic?
A) The filter needs to use operators such as "equal to" or "not equal to".
B) The filter needs a combination of AND/OR operators.
C) The filter needs to leverage operators such as "greater than or equal to" or "less than or equal to".
D) The filter needs to remove NULL values.
5. When joining datasets, what items must match?
A) The field types for the Match Row fields.
B) The level of detail in each dataset.
C) The field names for the Match Row fields.
D) The number of rows in each dataset.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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