SAP Leonardo Test

This area introduces candidates to the foundational architecture of SAP Leonardo, detailing how it integrates intelligent technologies (IoT, ML, Blockchain, Analytics) within SAP's digital core. It covers the modular design, role of SAP Business Technology Platform (BTP), deployment models, and how Leonardo complements S/4HANA. Understanding this skill ensures candidates grasp how SAP Leonardo is positioned within the broader Intelligent Enterprise ecosystem and are capable of framing use cases and architectures from both a technical and business value standpoint.

This section evaluates the candidate’s understanding of how Leonardo embeds AI/ML into business processes. It includes pre-trained services (e.g., invoice matching, image classification), use of SAP AI Core for custom models, and lifecycle operations (MLOps). The skill is crucial to assess one’s ability to enhance decision-making and efficiency by embedding learning algorithms into SAP workflows, and integrating with tools like Data Intelligence and HANA for scalable, explainable AI within enterprise systems.

This skill area focuses on SAP’s Blockchain-as-a-Service capabilities for creating trusted digital transactions. It assesses understanding of distributed ledger technology, smart contracts, and networked ecosystems using platforms like Hyperledger Fabric. Relevance includes use cases such as supply chain provenance, material traceability, and inter-enterprise collaboration. Candidates are tested on their ability to evaluate, configure, and integrate blockchain services securely into core SAP and Leonardo workflows to enhance transparency and trust.

Candidates are assessed on leveraging real-time analytics, predictive modeling, and Big Data processing within SAP Leonardo. This includes integration with SAP Analytics Cloud, SAP Data Intelligence, and HANA for orchestrating large-scale data pipelines. This skill is vital to evaluate a candidate’s ability to design intelligent dashboards, perform contextual analytics, and turn IoT or ML outputs into meaningful business insights that support data-driven transformation and continuous optimization.

This section measures a candidate’s ability to apply SAP Leonardo’s innovation methodology rooted in Design Thinking. It includes techniques for user empathy, problem framing, ideation, rapid prototyping, and iteration. This skill is important for validating a candidate’s ability to lead or contribute to digital innovation engagements by aligning technological solutions with human-centric business challenges, and translating ideas into minimum viable products (MVPs) using Leonardo's toolsets.

This area explores the application of SAP Leonardo in pre-packaged and customizable industry scenarios such as predictive quality in manufacturing, smart logistics, and digital farming. It tests knowledge of industry-specific accelerators, KPIs, and integration with SAP LoB solutions. Proficiency in this area demonstrates a candidate’s ability to translate technology into measurable business value, tailor use cases to verticals, and lead innovation in real-world environments.

This skill evaluates the understanding of how SAP Leonardo connects with core SAP applications like S/4HANA, SuccessFactors, Ariba, and SAP ERP. It includes API consumption, event triggers, CDS views, and end-to-end process orchestration. It ensures candidates can design intelligent, integrated workflows that embed IoT, ML, and Blockchain outputs into existing business operations, driving intelligent enterprise transformation without disrupting core landscapes.

This section assesses awareness of security protocols, GDPR compliance, role-based access, audit logging, and governance policies in SAP Leonardo implementations. Candidates must understand how to protect sensitive data across IoT, AI, and Blockchain use cases, and how to maintain control across decentralized and automated environments. It’s crucial for ensuring solutions are enterprise-grade, resilient, and compliant with regulatory standards.

This forward-looking skill area explores SAP’s roadmap for embedding AI and IoT more deeply into business processes, including the convergence of AI Core, Edge Services, and Industry Cloud. It covers emerging patterns such as autonomous systems, real-time context awareness, and sustainability intelligence. Understanding this area equips candidates to align Leonardo implementations with evolving SAP strategy and position their solutions for long-term scalability, resilience, and business value.