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Questions # 1:

When using the Build Fact Data and Cube Command, the initial load fails with the following message in the log: Error: System.ArgumentException: Item has already been added. Key in dictionary: '[location].[location].[level1_che_zznostateprovince_geneva]' Key being added: '[location].[location].[level1_che_zznostateprovince_geneva]' at System.Collections.SortedList.Add(Object key, Object value) at System.Collections.SortedList.SyncSortedList.Add(Object key, Object value) at Hrml.DataObjects.HrmlOrgCubeDimensionTree.AddTreeNode(String path, String parentPath, Int32 depth, String caption) in. How do you fix the error?

Options:

A.

Ensure

B.

Convert all

C.

Exclude

D.

Make sure

Questions # 2:

How would you validate a result measure ‘retention rate’ if the customer has a concern that the number is NOT accurate? Please refer to the formula below: Retention Rate = (SOP Headcount + External Hires - Terminations)/(SOP Headcount + External Hires) *100. Note: There are 3 correct answers to this question.

Options:

A.

Validate that the External Hires measure produces the correct figure via Drill to Detail.

B.

Validate that the EOP Headcount measure produces the correct figure via Drill to Detail.

C.

Validate that the SOP Headcount measure produces the correct figure via Drill to Detail.

D.

Validate that the Average Headcount measure produces the correct figure via Drill to Detail.

E.

Validate that the Termination measure produces the correct figure via Drill to Detail.

Questions # 3:

According to SAP best practices, at the start of the implementation project, which of the following documents are provided to the client? Note: There are 3 correct answers to this question.

Options:

A.

Specification document.

B.

Project Summary document

C.

Discrepancy Report document.

D.

Metrics Pack document

E.

Data Questionnaire document

Questions # 4:

How do you implement Promotion In, Demotion In, and Transfer In metrics? Note: There are 3 correct answers to this question.

Options:

A.

Configure measure Movement Out.

B.

Configure measure Movement In.

C.

Configure Event List and Hire, Movement, Terms.

D.

Map nodes into corresponding categories in Separation Reason dimension.

E.

Map nodes into corresponding categories in Recruitment Source dimension.

Questions # 5:

What happens when the Primary Person ID and Secondary Person ID Special Use Type properties are set on a single table?

Options:

A.

A mapping is created between the Primary Person within a position and Secondary Person(s) within that position.

B.

A Lookup is created in the Lookup tab to join tables with Primary Person ID to a Secondary Person ID(s).

C.

A mapping is created between an employee's identifier and the employee's assignment(s).

D.

A relationship is defined for a parent (primary)/child (secondary) relationship for a supervisor structure.

Questions # 6:

What are Restricted Input Measures?

Options:

A.

Breakdowns of measure values across administrative and geographic structures

B.

Inputs of Derived or Result Measures that are NOT displayed in the Measures tab of the Workforce Analytics portal

C.

Base Input Measures filtered by Dimensions

D.

Calculations of Base Input Measures and Derived Input Measures combined in formulas

Questions # 7:

What can you configure within the Dimension tab while you are configuring a Fact table? Note: There are 2 correct answers to this question.

Options:

A.

Dimension structure source

B.

Dimension column

C.

Dimension user permissions

D.

Measure/dimension arrangement

Questions # 8:

Consider the following scenario: EOP headcount has Age, Disability, EEO Job Category, Employment Level, and Employment Status dimensions turned on. SOP headcount has Age and EEO Job Category dimensions turned on. Average headcount has Gender and Future Leader dimensions turned on. Hires has Age, Disability, EEO Job Category, Employment Level, and Employment Status dimensions turned on. Terminations has Age, Disability, EEO Job Category, Employment Level, and Employment Status dimensions turned on. You are required to perform the following task: Turn on Age, Disability, EEO Job Category, Employment Level, Employment Status and Gender dimensions on for EOP Headcount, SOP Headcount, and Average Headcount. How would you complete this task? Note: There are 2 correct answers to this question.

Options:

A.

Select each required dimension listed above and turn on the missing measures respectively.

B.

Select EOP Headcount and turn on the missing dimensions. Use the Mirror Dimension function to replicate dimensions to both SOP Headcount and Average Headcount.

C.

Select EOP Headcount, SOP Headcount, and Average Headcount at the same time, then turn on the above dimensions in bulk.

D.

Select each measure listed above and turn on the missing dimensions respectively.

Questions # 9:

What is a flat dimension structure type?

Options:

A.

A type of structure that requires all employees to link to the leaf nodes

B.

A type of structure that requires all leaf nodes to be at the same depth from the root of the dimension

C.

A type of structure that has each level ID and name sourced as columns from a SQL statement or table

D.

A type of structure that has all nodes on the first level

Questions # 10:

When using the Build Fact Data and Cube Command, the initial load fails with the following message in the log: Error: System.ArgumentException: Item has already been added. Key in dictionary: '[location].[location].[level1_che_zznostateprovince_geneva]' Key being added: '[location].[location].[level1_che_zznostateprovince_geneva]' at System.Collections.SortedList.Add(Object key, Object value) at System.Collections.SortedList.SyncSortedList.Add(Object key, Object value) at Hrml.DataObjects.HrmlOrgCubeDimensionTree.AddTreeNode(String path, String parentPath, Int32 depth, String caption) in. What is the cause of this error?

Options:

A.

’Geneva’ does NOT have a parent in the data used to build the hierarchy.

B.

‘geneva’ is a restricted word and CANNOT be used as an ID.

C.

‘geneva’ has multiple parents in the data used to build the hierarchy.

D.

’geneva’ has multiple IDs with different cases, for example ’Geneva’ in the data.

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