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Workday Pro Prism Analytics Exam Sample Questions (Q11-Q16):
NEW QUESTION # 11
You apply an Explode stage to your derived dataset that contains information on your worker benefit elections. What happens in the resulting stage?
- A. The number of columns exponentially increases and the original multi-instance field gets dropped.
- B. The number of rows stays the same and the original multi-instance field does not get dropped.
- C. The number of rows exponentially increases and the original multi-instance field gets dropped.
- D. The number of columns stays the same and the original multi-instance field doesn't get dropped.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, an Explode stage is used to transform a multi-instance field into multiple rows, creating a single-instance field for each instance. According to the official Workday Prism Analyticsstudy path documents, when an Explode stage is applied to a derived dataset containing worker benefit elections (a multi-instance field, e.g., a list of elected benefits per worker), the following occurs: the number of rows exponentially increases, and the original multi-instance field gets dropped (option D).
For example, if a worker has three benefit elections in a multi-instance field, the Explode stage will create three rows-one for each election-while the original multi-instance field (e.g., "Benefit Elections") is replaced by a single-instance field containing one election per row. The number of rows increases based on the number of instances in the multi-instance field (e.g., a dataset with 100 workers, each with 3 elections on average, would grow from 100 rows to 300 rows). The term "exponentially" in the question reflects this potential for significant row growth, though the increase is technically linear per record based on the number of instances.
The other options are incorrect:
* A. The number of columns stays the same and the original multi-instance field doesn't get dropped: The original multi-instance field is dropped and replaced by a single-instance field; the column count may change slightly due to this replacement.
* B. The number of columns exponentially increases and the original multi-instance field gets dropped:
The Explode stage does not increase the number of columns exponentially; it primarily affects rows, with minimal impact on columns.
* C. The number of rows stays the same and the original multi-instance field does not get dropped: The number of rows increases due to the explosion of multi-instance data, and the original field is dropped.
The Explode stage's behavior of increasing rows and dropping the original multi-instance field aligns with its purpose of normalizing multi-instance data into a row-based structure.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Using the Explode Stage in Derived Datasets Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Handling Multi- Instance Fields with Explode Stages
NEW QUESTION # 12
You want to configure access to a published Prism data source to use it in reporting and discovery boards.
What action must you take?
- A. Share the imported Workday report to provide users with access to the published Prism data source.
- B. Edit the data source security and select a domain.
- C. Schedule the recurring publish process.
- D. Share the dataset with appropriate users.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, configuring access to a published Prism data source for use in reporting and discovery boards requires managing its security settings. According to the official Workday Prism Analytics study path documents, the necessary action is to edit the data source security and select a domain (option A).
After a dataset is published as a Prism data source, access is controlled through security domains. By editing the data source security and assigning it to an appropriate security domain (e.g., a domain that grants access to specific user groups like report writers or analysts), you ensure that authorized users can access the data source for reporting and discovery boards. This aligns with Workday's configurable security framework, ensuring that only users with the appropriate permissions can view or use the data source.
The other options are incorrect:
* B. Share the dataset with appropriate users: Sharing the dataset itself does not grant access to the published Prism data source; access to the data source is controlled through its security settings, not the dataset's sharing settings.
* C. Share the imported Workday report to provide users with access to the published Prism data source:
Sharing an imported Workday report does not affect access to the Prism data source; the data source's security must be configured directly.
* D. Schedule the recurring publish process: Scheduling a recurring publish process ensures the data source is updated regularly, but it does not configure access for reporting or discovery boards.
Editing the data source security and selecting a domain is the critical step to enable access for reporting and discovery boards.
References:
Workday Prism Analytics Study Path Documents, Section: Security and Governance in Prism, Topic:
Configuring Access to Prism Data Sources
Workday Prism Analytics Training Guide, Module: Security and Governance in Prism, Subtopic: Managing Data Source Security for Reporting
NEW QUESTION # 13
You have a number of Workday reports that use a Prism data source. When are the values of the Prism calculated fields in the Workday reports calculated?
- A. At report run time.
- B. At dataset creation time.
- C. At the calculated field creation time.
- D. At time of publishing.
Answer: D
NEW QUESTION # 14
The Prism use case is to classify workers based on their pay. You must create a field that evaluates worker pay and returns a value that represents various pay ranges. How would you add this field for inclusion on the Prism data source?
- A. Build a CASE calculated field function on the TBL directly to ease later transformation.
- B. Create a derived dataset and build a CASE calculated field to classify workers against their pay.
- C. Add the additional field to your raw data before you ingest into Prism.
- D. Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, classifying workers into pay ranges based on their pay requires creating a new field that evaluates the pay values and assigns them to defined ranges (e.g., "Low," "Medium," "High").
According to the official Workday Prism Analytics study path documents, the recommended approach is to create a derived dataset (DDS) and build a CASE calculated field to classify workers against their pay (option B). The CASE function in a calculated field allows users to define conditional logic (e.g., CASE WHEN pay
< 50000 THEN "Low" WHEN pay < 100000 THEN "Medium" ELSE "High" END), which is ideal for creating pay range classifications. This calculated field is added within a deriveddataset, which can then be published as a Prism data source, making the new field available for reporting and analytics.
The other options are not optimal:
* A. Add the additional field to your raw data before you ingest into Prism: Modifying raw data outside Prism is unnecessary and less flexible, as Prism's transformation capabilities (like CASE) are designed for such tasks.
* C. Build a CASE calculated field function on the TBL directly to ease later transformation: Calculated fields cannot be created directly on a table (TBL) in Prism Analytics; they must be defined in a derived dataset.
* D. Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay: Prism Analytics does not use "Prism business objects" for calculated fields, and "Evaluate Expression" is not a standard function; this option is not applicable.
Using a CASE calculated field in a derived dataset provides a flexible and maintainable way to classify workers by pay ranges, ensuring the field is included in the final Prism data source.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Creating Calculated Fields with CASE Functions Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Classifying Data Using Calculated Fields in Derived Datasets
NEW QUESTION # 15
The Prism use case is to classify workers based on their pay. You must create a field that evaluates worker pay and returns a value that represents various pay ranges. How would you add this field for inclusion on the Prism data source?
- A. Build a CASE calculated field function on the TBL directly to ease later transformation.
- B. Create a derived dataset and build a CASE calculated field to classify workers against their pay.
- C. Add the additional field to your raw data before you ingest into Prism.
- D. Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, classifying workers into pay ranges based on their pay requires creating a new field that evaluates the pay values and assigns them to defined ranges (e.g., "Low," "Medium," "High").
According to the official Workday Prism Analytics study path documents, the recommended approach is to create a derived dataset (DDS) and build a CASE calculated field to classify workers against their pay (option B). The CASE function in a calculated field allows users to define conditional logic (e.g., CASE WHEN pay
< 50000 THEN "Low" WHEN pay < 100000 THEN "Medium" ELSE "High" END), which is ideal for creating pay range classifications. This calculated field is added within a deriveddataset, which can then be published as a Prism data source, making the new field available for reporting and analytics.
The other options are not optimal:
* A. Add the additional field to your raw data before you ingest into Prism: Modifying raw data outside Prism is unnecessary and less flexible, as Prism's transformation capabilities (like CASE) are designed for such tasks.
* C. Build a CASE calculated field function on the TBL directly to ease later transformation: Calculated fields cannot be created directly on a table (TBL) in Prism Analytics; they must be defined in a derived dataset.
* D. Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay: Prism Analytics does not use "Prism business objects" for calculated fields, and "Evaluate Expression" is not a standard function; this option is not applicable.
Using a CASE calculated field in a derived dataset provides a flexible and maintainable way to classify workers by pay ranges, ensuring the field is included in the final Prism data source.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Creating Calculated Fields with CASE Functions Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Classifying Data Using Calculated Fields in Derived Datasets
NEW QUESTION # 16
......
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