C_SIGVT_2506 SAP Certified Associate - Validating Business Transformation Questions and Answers

The Application Landscape Report in SAP LeanIX provides a consolidated view of all applications within the IT environment. It highlights which applications are active, which are impacted by transformation plans, and how they align with business capabilities. Additionally, it displays integration dependencies, helping stakeholders understand the connections between applications and the interfaces that may be influenced by change. While other reports focus on data quality or specialized views, this report centers on active applications and key integration relationships.

The RISE with SAP methodology emphasizes delivering transformation projects in a predictable, repeatable, and quality-assured manner. A central focus of this methodology is enforcing clean core principles, which prevent unnecessary modifications and ensure systems remain easy to upgrade and extend. The structured phases, quality gates, and integrated toolchain all support predictable outcomes. The methodology does not aim to reduce system count or eliminate partners; instead, it ensures guided, standardized, and clean implementations.

The clean core concept is fundamental to SAP’s cloud strategy and governs how organizations should structure their ERP systems to remain flexible, upgradeable, and stable. One key dimension isConfigurations, which must follow SAP-recommended patterns and avoid unnecessary customizations that compromise upgradeability. Configurations define how the system behaves, and keeping them standardized ensures that the core can remain clean.

A second dimension isIntegrations. Clean core principles emphasize using SAP-approved integration patterns, APIs, and event-driven models rather than modifying the underlying system. By handling extensions and integrations through platforms like SAP Business Technology Platform, organizations avoid invasive changes that would otherwise jeopardize upgrades or system stability.

A third dimension isProcesses, referring to the ability to adopt SAP’s standard end-to-end processes wherever possible. Aligning with SAP best practices minimizes the need for enhancements in the core system and ensures compatibility with future innovations.

Applications and operations are not part of the formal clean core dimensions; rather, they are broader parts of the overall IT landscape. The clean core dimensions focus specifically on system configuration, integration behavior, and business process alignment—ensuring that SAP systems remain cloud-ready and agile.

SAP Readiness Check is a pre-transformation assessment tool used to evaluate whether an existing SAP system is prepared for a major transition, such as converting to SAP S/4HANA or adopting cloud-based operations. It reviews key areas like custom code usage, add-on compatibility, simplification items, data volume, and integration impacts. The purpose is to identify risks, scope the transformation effort, and provide a clear understanding of required preparation activities. It isnotused for testing coverage, revenue prediction, or license audits.

SAP Preferred Success is an advanced support program designed to strengthen cloud transformation outcomes. It provides proactive guidance, insight-driven recommendations, continuous adoption monitoring, and defined service-level agreements. These services help ensure that customers achieve value realization and maintain stable solution operations. The other programs focus on partner networks, feedback channels, or collaborative influence—not transformation-focused support with SLAs.

Data privacy compliance is an essential element of SAP’s clean core strategy because it ensures that an organization manages data responsibly and in accordance with legal and regulatory requirements. In a clean core environment, systems must support standardized handling of personal, sensitive, and business-critical data. This includes ensuring that data is collected, stored, accessed, and processed only for valid business purposes that comply with regulations such as GDPR or local data protection laws.

Maintaining proper data privacy also reduces risk during upgrades and transformations. Clean core principles emphasize minimizing custom data handling logic, which reduces the chances of unauthorized access or non-compliant processing. By adhering to standardized data frameworks and extension patterns, organizations limit the potential for data misuse and maintain clear control over data lineage and retention policies.

Options A and D contradict privacy best practices—unrestricted access and eliminating archiving would create major compliance issues. Option C addresses operational concerns but is unrelated to privacy. Therefore, the correct significance is that data privacy compliance ensures data is processed lawfully, purposefully, and responsibly within a clean core ecosystem.