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SAP C_BCBAI_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Positioning SAP Business AI	30%	- Use Cases and Value Proposition 1. Communicate the value proposition to customers 2. Identify relevant use cases for SAP Business AI - SAP Business AI Strategy and Portfolio 1. Describe the role of AI in the SAP Business Suite 2. Explain the SAP Business AI strategy
Topic 2: SAP Business Technology Platform (BTP) for AI	25%	- Integration and Extension 1. Explain how to integrate AI into business processes 2. Describe extension capabilities - AI Foundation on SAP BTP 1. Describe AI foundation components 2. Explain the role of Generative AI Hub
Topic 3: Embedded AI in SAP Applications	30%	- AI in SAP SuccessFactors & CX 1. Explain AI capabilities in HR and Customer Experience solutions - AI in SAP S/4HANA Cloud 1. Describe intelligent scenario lifecycle management 2. Identify AI features in finance, manufacturing, and procurement
Topic 4: Trust, Ethics, and Data Privacy	15%	- Responsible AI 1. Describe data privacy and security considerations 2. Explain SAP's approach to responsible AI

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SAP Certified - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q19-Q24):

NEW QUESTION # 19
Within AI Foundation's layered architecture, which layer provides a unified entry point for development, operations, and administration?

A. AI Kernel Layer
B. OS Interfaces Layer
C. Peripheral & Data Layer
D. AI Integration Layer

Answer: B

NEW QUESTION # 20
Which protocol enables autonomous AI agents to discover each other, delegate tasks, and collaborate across platforms?

A. Model Context Protocol (MCP)
B. Agent Hub
C. Agent2Agent (A2A)
D. Agent-to-Orchestrator (A20)

Answer: C

NEW QUESTION # 21
Which of the following factors are part of SAP's commitment to building and operating AI responsibly? Note: There are 3 correct answers to this question.

A. Clean core-compliant extensions and process design
B. Optimized AI model sizes and routing
C. SAP data centers that are powered by renewable electricity only
D. Ethical AI governance
E. Pervasive use of agile agentic AI

Answer: B,C,D

NEW QUESTION # 22
What are some value propositions of SAP Document AI? Note: There are 2 correct answers to this question.

A. Secure and compliant frameworks
B. Enterprise-grade orchestration
C. Scalability and compliance
D. Preconfigured content

Answer: C,D

NEW QUESTION # 23
How can SAP Knowledge Graph provide context to AI agents? Note: There are 2 correct answers to this question.

A. By using advanced analytics and machine learning capabilities.
B. By validating assumptions and deriving logical conclusions from structured relationships.
C. By disambiguating terms, linking concepts to entities, and grounding user conversations in domain-specific knowledge.
D. By connecting data from multiple SAP applications and third-party systems.

Answer: B,C

NEW QUESTION # 24
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