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NEW QUESTION # 26
Drag and drop the key terms to the correct position.
Answer:
Explanation:
NEW QUESTION # 27
(When customers build a custom AI solution on a hyperscaler, what are some of the complexities they would have to deal with? Note: There are 3 correct answers to this question.)
Answer: A,C,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract: Building custom AI solutions directly on hyperscalers introduces complexities such as implementing security measures to ensure compliance and data protection, integrating identity management for secure access control, and managing GPU clusters for scalable AI training and inference. These challenges arise from the need to handle infrastructure, integration, and operations manually, which SAP BTP mitigates by providing a standardized, hyperscaler-agnostic platform.
Exact extracts supporting this:
"Transitioning to a hyperscaler can help, but may still require dealing with integration and security complexities."learning.sap.com SAP AI Core is "designed to manage the execution and operations of AI assets in a standardized, scalable, and hyperscaler-agnostic manner," implying complexities like GPU management on hyperscalers.help.sap.com community.sap.com Integration challenges include "typical integration challenges and the integration journey in a multi-cloud environment," encompassing identity management.community.sap.com Other options are incorrect because:
Option C: While selecting an appropriate LLM is important, the complexity is not specifically "choice of the wrong LLM" but rather model management; SAP emphasizes broader operational issues.
Option E: Data replication is a data management task but not highlighted as a primary complexity in hyperscaler AI builds; focus is on security, integration, and infrastructure.
Reference from Positioning SAP Business AI Solutions as part of SAP Business Suite documents or Study Guide: From SAP Learning Journey "Boosting Your Cloud Transformation Journey with SAP Business AI and Generative AI," units on building custom AI solutions and positioning SAP Business AI in cloud transformation. Supported by SAP Help Portal for SAP AI Core and community blogs on generative AI with SAP, aligning with C_BCBAI_2502 materials for comparing hyperscaler vs. SAP BTP complexities.
NEW QUESTION # 28
Match the benefit from the dropdown list to the SAP LeanIX Al capabilities.
Answer:
Explanation:
NEW QUESTION # 29
Which protocol enables autonomous AI agents to discover each other, delegate tasks, and collaborate across platforms?
Answer: D
Explanation:
The Agent2Agent (A2A) protocol enables autonomous AI agents to discover each other, delegate tasks, and collaborate across platforms, as detailed in SAP Business AI documentation. This protocol facilitates direct communication and coordination between AI agents, allowing them to share tasks and data seamlessly within and across SAP ecosystems. This ensures efficient, decentralized collaboration for complex workflows. The Agent-to-Orchestrator (A2O) protocol focuses on orchestration, not direct agent collaboration. The Model Context Protocol (MCP) and Agent Hub are not defined protocols in SAP's framework for this purpose. A2A's design supports scalable, autonomous AI operations, enhancing enterprise agility and interoperability.
NEW QUESTION # 30
Which of the following are included in SAP's Responsible AI framework? Note: There are 3 correct answers to this question.
Answer: A,B,C
Explanation:
SAP's Responsible AI framework includes the SAP Global Human Rights commitment, transparency and accountability, and ethical governance, as detailed in SAP documentation. The SAP Global Human Rights commitment ensures AI respects human rights, aligning with global standards. Transparency and accountability mandate clear documentation of AI processes and decision-making, fostering trust. Ethical governance establishes policies and oversight to ensure fairness, mitigate bias, and comply with regulations. ESG reporting, while part of SAP's sustainability efforts, is not a core component of the Responsible AI framework, and human-centered design is a principle but not explicitly listed. These elements ensure SAP's AI solutions are trustworthy and ethical.
NEW QUESTION # 31
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