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SAP C-THR96-2205 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Build the initial cube and configure dimension hierarchies in the SAP HANA OLAP Admin tool
  • Configure Lookups and create Events on the SAP HANA OLAP Admin tool
Topic 2
  • Troubleshoot cube build issues. Validate data that has transformed into the OLAP cube
  • Metadata Framework (MDF) Fundamentals
Topic 3
  • Describe MDF as it pertains to a WFA on SAP HANA implementation
  • Build Validation and Data Validation
Topic 4
  • Identify the fundamental terminology and concepts used throughout WFA
  • Metrics Pack Fundamentals
Topic 5
  • SAP SuccessFactors Workforce Analytics on SAP HANA
  • Configure Dimensions and Add Measures
Topic 6
  • Configure Dimensions and Add Measures on the SAP HANA OLAP Admin tool
  • Process Data and Hierarchies
Topic 7
  • Outline Employee Central concepts and data structures as it pertains to a WFA on SAP HANA implementation
  • Build a fact table in SAP HANA OLAP Admin tool
Topic 8
  • SAP SuccessFactors Employee Central Fundamentals
  • Prerequisites and Implementation Methodology

C-THR96-2205 Exam Certification Details:

Sample Questions: SAP C-THR96-2205 Exam Sample Question
Level:Associate
Exam:80 questions
Cut Score:73%
Duration:180 mins

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SAP C-THR96-2205 Exam Description:

The "SAP Certified Application Associate - SAP SuccessFactors Workforce Analytics Technical Consultant 1H/2022" certification exam verifies that the candidate possesses the basic knowledge in the area of the SAP SuccessFactors Workforce Analytics application. This certificate proves that the candidate has a basic and overall understanding within this consultant profile of the industry solution, and can implement this knowledge practically in projects under guidance of an experienced consultant. It is recommended as an entry-level qualification to allow consultants to get acquainted with the fundamentals of SAP SuccessFactors Workforce Analytics.

SAP Certified Application Associate - SAP SuccessFactors Workforce Analytics Technical Consultant 1H/2022 Sample Questions (Q43-Q48):

NEW QUESTION # 43
How do you configure benchmarked dimension nodes in SAP SuccessFactors Workforce Analytics on SAP HANA?

  • A. Add a property to a dimension node that flags it as benchmarked.
  • B. Map customer nodes to the pre-defined nodes within a dimension.
  • C. Change the ID of a dimension node to the benchmarked ID.
  • D. Change the name of a dimension node to the benchmarked name.

Answer: B


NEW QUESTION # 44
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?

  • A. Ensure
  • B. Exclude
  • C. Convert all
  • D. Make sure

Answer: D


NEW QUESTION # 45
How can a technical consultant organize multiple records with the same Effective From Date into one Fact Table record?

  • A. Use a calculated column to filter unwanted records.
  • B. Use a calculated column called Effective Sequence.
  • C. Use the To Date Special Use Type on a date field.
  • D. Use the Effective Sequence Special Use Type on a numeric field.

Answer: D


NEW QUESTION # 46
What document is created from the responses to the Data Questionnaire?

  • A. Specification document
  • B. Metrics Pack document
  • C. Project Summary document
  • D. Discrepancy Report document

Answer: A


NEW QUESTION # 47
The following code is used for EOP headcount and SOP headcount: If((in([%EMP_JOB_INFO_T.EMPLOYMENT_STATUS%], 'A','U','P') OR ISNULL([%EMP_JOB_INFO_T.EMPLOYMENT_STATUS%])), [%#CFT#.HEAD_COUNT%], 0). Which setting results in each measure produce different results?

  • A. Aggregation type
  • B. Measure override name
  • C. Data type
  • D. Standard measure

Answer: B


NEW QUESTION # 48
......

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