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SAP C_THR96_2505 Exam Syllabus Topics:

Topic	Details
Topic 1	Metadata Framework (MDF) Fundamentals: This section of the exam measures skills of Analytics Consultants and covers the foundational understanding of Metadata Framework elements, including object definitions and the relationship between MDF and analytics structures.
Topic 2	Process Data and Hierarchies: This section of the exam measures skills of HR Data Specialists and focuses on the processes involved in validating and organizing data through hierarchies for clean and structured workforce analysis.
Topic 3	Configure Dimensions and Add Measures: This section of the exam assesses the knowledge of Analytics Consultants in defining dimensions and assigning appropriate measures to support meaningful segmentation and aggregation in dashboards and reports.
Topic 4	BI Fundamentals and Build Fact Tables: This section of the exam evaluates the ability of Analytics Consultants to apply business intelligence concepts when constructing fact tables, which serve as the basis for metric reporting in WFA.
Topic 5	Metrics Pack Fundamentals: This section of the exam evaluates the ability of Analytics Consultants to work with pre-delivered metrics packs, focusing on their role in enabling standard KPI definitions and reporting frameworks in Workforce Analytics.
Topic 6	Build Validation and Data Validation: This section of the exam evaluates the ability of Analytics Consultants to implement build validations and data checks to ensure integrity, accuracy, and consistency of analytical outputs before go-live.
Topic 7	Create Lookups and Events: This section of the exam measures skills of HR Data Specialists and includes configuring lookup tables and event types used to enrich data calculations and contextual reporting in the analytics solution.
Topic 8	SAP SuccessFactors Workforce Analytics on SAP HANA – Prerequisites and Implementation Methodology
Topic 9	This section of the exam measures skills of HR Data Specialists and covers the preconditions for a successful WFA on HANA implementation, including system readiness, integration points, and methodology phases.

SAP Certified Associate - Implementation Consultant - SAP SuccessFactors Workforce Analytics Sample Questions (Q12-Q17):

NEW QUESTION # 12
What are the characteristics of an effective-dated table in an SAP SuccessFactors Employee Central table?

A. The table has only one record per object.
B. The table has time stamp attributes such as birth date and hire date.
C. The table has NO time stamp information.
D. The table can have multiple time-bound records for each object.

Answer: D

NEW QUESTION # 13
Which of the following is commonly used in benchmark comparisons?

A. Base Input Measure
B. Derived Input Measure
C. Result Measure
D. Restricted Base Input Measure

Answer: C

NEW QUESTION # 14
What is a Condition, in terms of Hires, Movements, and Terminations? Note: There are 2 correct answe rs to this question.

A. Used to group Hires, Movements or Terminations
B. A filter to exclude Hires, Movements or Terminations
C. Used in a calculation to capture Hires, Movements or Terminations
D. Returns true/false based on an event

Answer: A,C

NEW QUESTION # 15
How does the Realize phase differ when implementing an SAP SuccessFactors Workforce Analytics on SAP HANA customer, compared to a traditional implementation? Note: There are 2 correct answe rs to this question.

A. Issues are addressed periodically throughout the implementation process.
B. The beta/alpha site is published early in the process.
C. The beta/alpha site is published at the end of the process.
D. Issues are addressed after the beta site is published.

Answer: A,B

NEW QUESTION # 16
What is the purpose of creating Event lists in SAP SuccessFactors Workforce Analytics on SAP HANA?

A. To define the employee movement codes such as Hire, Termination, Promotion, Demotion, and Transfer
B. To apply effective dating to an employee movement record
C. To set the value for Recruitment Source and Separation Reason Dimensions
D. To apply employee attributes that are sourced from concatenation of multiple source columns

Answer: A

NEW QUESTION # 17
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