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Exam format of SAP C_SAC_2021: SAP Certified Application Associate - SAP Analytics Cloud: Planning Exam
Following are the quick details related to the SAP Certified Application Associate - Management Accounting with SAP ERP 6.0 EhP7 certification exam:
- Valid Attempts: Candidates can attempt up to 6 times within the 12 months of their subscription. Each retake counts as an attempt. Candidates are allowed to attempt a specific exam a maximum of 3 times. If a candidate is not able to pass within 3 attempts, one needs to re-register for the next exam release. C_SAC_2021 exam dumps is the best way to start the preparation.
- Exam Registration: Certifications are now available on cloud in the certification hub, enabling the candidates to book the examination date individually based on the product code.
- Exam Mode: On-line Proctored Exam. Candidates can take the examination from any place, any time as per their convenience. SAP also has the option for the candidates to give exams on-site at any of the SAP training centers.
- Number of Questions: 80 Questions
- Exam Scores: The score will be notified on-line immediately after finishing the exam. After passing the exam, an SAP Global Certification digital badge will be sent to the registered email ID. Exam scores can be improved with the help of C_SAC_2021 practice exams.
- Language: English, Japanese, Spanish, German, French, Korean, Portuguese, Russian, Chinese
- Duration: 180 minutes
- Exam type: Multiple Choice Questions
- Exam Name: SAP C_SAC_2021: SAP Certified Application Associate - SAP Analytics Cloud: Planning Exam
- Cut Score: 65%
- Exam Code: C-SACP_2021
For more info, visit:
SAP C_SAC_2021: SAP Certified Application Associate - SAP Analytics Cloud: Planning Exam guide SAP Trainings
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SAP C_SAC_2021日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: SAP Analytics Cloud Overview | - Platform concepts and architecture - Core features overview (BI, Planning, Predictive) |
| Topic 2: Planning Capabilities | - Planning models and versions - Forecasting and simulations - Data input and allocations |
| Topic 3: Data Modeling | - Model creation and management - Hierarchies and calculations - Dimensions and measures |
| Topic 4: Business Intelligence (Stories) | - Charts, tables, and widgets - Filtering and drill-down analysis - Story design and visualization |
| Topic 5: Administration and Security | - User and role management - Permissions and data access control - System configuration basics |
| Topic 6: Data Connectivity and Integration | - Data preparation and transformation - Import data models - Live data connections |






