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SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q10-Q15):
NEW QUESTION # 10
What are some benefits of AI agents? Note: There are 3 correct answers to this question.
Answer: B,C,E
NEW QUESTION # 11
What are the main domain clusters of SAP's guiding principles for ethical AI? Note: There are 3 correct answers to this question.
Answer: A,B,C
Explanation:
SAP's guiding principles for ethical AI are organized into key domain clusters, including the AI Ethics Steering Committee, Organizational practice, and AI System engineering, as outlined in the SAP Responsible AI Framework. The AI Ethics Steering Committee oversees governance, ensuring AI development aligns with ethical standards. Organizational practice involves embedding ethical considerations into business processes, training, and culture to promote responsible AI use. AI System engineering focuses on designing AI systems with transparency, fairness, and accountability, incorporating technical safeguards to mitigate bias and ensure reliability. Executive Sponsorship, while important for leadership support, is not a defined domain cluster, and AI System definition is not explicitly listed in SAP's framework. These clusters ensure SAP's AI solutions are trustworthy and aligned with global ethical standards.
Reference:
SAP Business AI Questions (Batch 3 of 5)
NEW QUESTION # 12
What are some activities SAP recommends customers consider when integrating agent AI systems into their operations? Note: There are 3 correct answers to this question.
Answer: A,B,C
NEW QUESTION # 13
Within AI Foundation's layered architecture, which layer provides a unified entry point for development, operations, and administration?
Answer: B
Explanation:
The AI Integration Layer within SAP's AI Foundation architecture serves as the unified entry point for development, operations, and administration. According to SAP Business AI documentation, this layer facilitates seamless interaction between AI components, SAP applications, and external systems, providing a centralized interface for developers, operators, and administrators. It supports tasks such as model deployment, monitoring, and governance, ensuring consistency and efficiency across AI operations. The OS Interfaces Layer handles system-level interactions, the Peripheral & Data Layer manages data access, and the AI Kernel Layer focuses on core AI processing, none of which serve as the unified entry point. This layer is critical for enabling scalable and integrated AI solutions.
NEW QUESTION # 14
Drag and drop the elements at the bottom to the architecture layers of the SAP LeanlX meta model.
Answer:
Explanation:
NEW QUESTION # 15
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