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SAP C_THR92_2405 Exam Syllabus Topics:
| Topic |
Details |
| Topic 1 |
- Provisioning Settings for Reporting: This section evaluates SAP professionals on their use of Provisioning to set up table reports, canvas reports, and dashboard frameworks.
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| Topic 2 |
- Managing Clean Core: This section examines the understanding of SAP Analysts related to clean core principles within ERP systems. It highlights their ability to maximize business process agility, reduce adaptation efforts, and drive innovation.
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| Topic 3 |
- Story Reports: This section assesses the capabilities of business analysts and consultants in creating story reports using the Query Designer. It emphasizes the use of advanced queries to extract valuable data insights, enabling candidates to demonstrate their expertise in crafting customized reports that align with specific business requirements.
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| Topic 4 |
- Table Reports: In this part, SAP consultants will be assessed on their competence in creating table reports. The target audience will showcase their ability to generate structured reports that organize data in tabular formats, aiding in the comparison and analysis of large datasets.
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| Topic 5 |
- Tile-Based Dashboard Framework: In this section, candidates will focus on configuring tile-based dashboards, including custom tiles, permissions, and administration. Their ability to structure and visually represent data for stakeholders will be measured, with an emphasis on optimizing dashboards for quick access to essential metrics.
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| Topic 6 |
- Report Consumers: SAP Business Consultants are evaluated on their ability to interact with report consumers, including tasks like sharing, distribution, permission setting, and report administration.
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| Topic 7 |
- Advanced Reporting Tool with Replicated Data: SAP Consultants in this section will be tested on their use of the advanced reporting tool with replicated data. The target audience must demonstrate their capability to generate complex queries that provide deeper organizational insights, which is crucial for those working in replicated data environments.
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