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SAP C-THR96-2205 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Configure Dimensions & Measures | - Adding Measures - Dimensions Configuration |
| Topic 2: Workforce Analytics on SAP HANA Overview | - Prerequisites and Requirements - Implementation Methodology for WFA on HANA |
| Topic 3: Process Data and Hierarchies | - Hierarchy Configuration - Initial Cube Builds |
| Topic 4: Employee Central Fundamentals | - EC Concepts for Workforce Analytics - EC Data Structures |
| Topic 5: Build & Data Validation | - Data Validation Processes - Cube Build Issues Troubleshooting |
Frequently Asked Questions About SAP Certified Application Associate - SAP SuccessFactors Workforce Analytics Technical Consultant 1H/2022
The SAP Certified Application Associate - SAP SuccessFactors Workforce Analytics Technical Consultant 1H/2022 questions are written and organized by senior experts and experienced specialists so that your study time concentrates on the most test-relevant knowledge. Instead of spreading your effort across endless coverage, you practice what the C-THR96-2205 exam actually weighs, which raises your learning efficiency session by session.
The real C-THR96-2205 exam gives you 180 minutes minutes for 80 questions. Rehearsing under the same conditions on the CertkingdomPDF engine builds the pacing you will rely on.
- Workforce Analytics on SAP HANA Overview ()
- Process Data and Hierarchies ()
- Configure Dimensions & Measures ()
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The package contains 80 practice questions for the C-THR96-2205 exam, all verified by senior experts and organized for focused, efficient revision.
To pass C-THR96-2205 you need Approximately 73%–74%, and the official exam fee is Varies by country (typically around USD pricing region dependent). Fixing both figures early keeps your target concrete and your budget planned.
No mandatory prerequisite exam; knowledge of SAP SuccessFactors and WFA concepts recommended
SAP Certified Application Associate - SAP SuccessFactors Workforce Analytics Technical Consultant 1H/2022 Sample Questions:
Which of the following dimensions should NOT be turned on for Measure Hires?
- A. Recruitment Source
- B. Separation Reasons
- C. Gender
- D. Future Leader
Correct Answer: A 🗳️
Which of the following dimensions should NOT be turned on for Measure Terminations?
- A. Recruitment Source
- B. Separation Reasons
- C. Gender
- D. Future Leader
Correct Answer: B 🗳️
A customer has defined the following EVENT codes for their movement logic from EMP_JOB_INFO_T table: Hire is identified where EVENT External Code = H (Hire) and R(Rehire) Promotion is identified where EVENT External Code = 8 (Promotion) Transfer is identified where EVENT External Code = 6 (Transfer) and 16 (Job Change) Other Movement is identified where EVENT External Code = 23 (Return to Work) Termination is identified where EVENT External Code = 26 (Termination). What possible Event Lists can you create to capture all employee movements for this customer? Note: There are 2 correct answers to this question.
- A. Create 3 Event lists: Hire event codes. Termination event codes. Promotion, Transfer, and Other Movement event codes
- B. Create 1 Event list: Hire, Termination, Promotion, Transfer, and Other Movement event codes
- C. Create 5 Event lists: Hire event codes. Termination event codes. Promotion event codes. Transfer event codes. Other Movement event codes
- D. Create 3 Event lists: Hire and Promotion event codes. Transfer event codes. Termination and Other Movement event codes
Correct Answer: A,B 🗳️
When would you use a Lookup?
- A. When a dimension needs a description from the Label table
- B. When the Hire Date is sourced from a different date column for the system upload event
- C. When a dimension is sourced from a combination of multiple columns
- D. When exclusion logic is based on an external code value of a foundation object
Correct Answer: A 🗳️
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. Measure override name
- B. Data type
- C. Standard measure
- D. Aggregation type
Correct Answer: A 🗳️
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