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VERIFIED EXAM

C_THR96_2505 Updated Prep with Practice Test

Updated Oct 18, 2025

SAP C_THR96_2505 Exam Specifications

Exam Code:
C_THR96_2505
Exam Name:
SAP Certified Associate - SAP SuccessFactors Workforce Analytics - Technical
Provider:
SAP
Time:
180 min
Passing Percentage:
66%
Version:
8.1

Question Types

  • 47 Single Select
  • 33 Multi Select

80 Questions with Answers

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Topics Covered

  • SAP SuccessFactors Employee Central Fundamentals
  • Metadata Framework (MDF) Fundamentals
  • SAP SuccessFactors Workforce Analytics on SAP HANA - Prerequisites and Implementation Methodology
  • Process Data and Hierarchies
  • Configure Dimensions and Add Measures
  • Metrics Pack Fundamentals
  • Create Lookups and Events
  • Build Validation and Data Validation
  • BI Fundamentals and Build Fact Tables

Syllabus Topics for SAP Certified Associate - SAP SuccessFactors Workforce Analytics - Technical C_THR96_2505: Prep Outline

For the SAP Certified Associate - SAP SuccessFactors Workforce Analytics - Technical exam, focus on building a robust data foundation by sourcing from multiple systems, implementing connectors and ETL pipelines, and enabling seamless integration with external BI tools. Then translate that data into actionable HR insights by modeling the data for analytics, defining KPI-based calculations and time-based metrics, creating dashboards and reports, and enforcing quality, security, governance with audit trails, while also optimizing performance and maintaining reliable operations.

Key Topics

  • Data integration and sourcing for workforce analytics including connectors and ETL pipelines
  • Dimensional modeling for HR analytics with star and snowflake schemas, facts and dimensions
  • Quality assurance and validation in analytics pipelines for HR data
  • Calculations and measures design with KPI definitions and time-based metrics
  • Dashboard and report design for actionable HR insights with visuals and interactivity
  • Access control and security management with roles and data governance
  • Performance optimization through caching, query tuning, indexing, and scheduling
  • Governance and lineage tracking with auditing and compliance in analytics environments
  • Integration and extensibility with external BI tools and APIs
  • Operational best practices for monitoring, troubleshooting, and deployment

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