SAP C-BCBAI-2509模擬試験最新版 & C-BCBAI-2509受験料あなたもそれらの1人かもしれませんが、試験の準備のために高品質で高い合格率のC-BCBAI-2509学習問題を見つけるのに苦労するかもしれません。当社の製品は、主要な質問と回答で精巧に構成されています。学習資料では、過去の資料からキーを選択して、C-BCBAI-2509トレント準備を完了しています。練習するのに20時間から30時間しかかかりません。効果的な練習の後、C-BCBAI-2509試験トレントから試験ポイントを習得できます。そうすれば、合格するのに十分な自信があります。だから、これからC-BCBAI-2509トレント準備から始めましょう。 SAP C-BCBAI-2509 認定試験の出題範囲：
SAP Business AIのポジショニング：このセクションでは、SAPコンサルタントのスキルを評価し、SAP Business SuiteにおけるSAP Business AIの適合性を理解することに重点を置きます。Business AIの主要概念、最新のエンタープライズソリューションにおける役割、そして顧客に提供する価値を説明する能力が問われます。受験者は、実際のビジネスシナリオにおいてAI機能をポジショニングし、業務効率と意思決定を向上させる知識を示すことが求められます。
SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite 認定 C-BCBAI-2509 試験問題 (Q20-Q25):質問 # 20
(Why is SAP BTP uniquely positioned for AI usage? Note: There are 3 correct answers to this question.)
A. It offers flexibility of choice of an LLM.
B. It is holistically integrated across enterprise workflows.
C. It is vertically optimized for business applications.
D. It is optimized for using open-source LLMs.
E. It integrates seamlessly with any third-party software solution.
正解：A、B、C
解説：
Comprehensive and Detailed Explanation From Exact Extract: SAP BTP is uniquely positioned for AI usage because it provides extensive flexibility in selecting and switching between leading large language models (LLMs), is specifically optimized for vertical business applications to enhance operational efficiency, and offers holistic integration across enterprise workflows to automate and transform business processes seamlessly. These capabilities ensure that AI solutions are tailored to business needs, leveraging both SAP and non-SAP data while maintaining alignment with enterprise standards.
Exact extracts supporting this:
Flexibility in LLMs: "SAP BTP allows customers to seamlessly switch between all leading frontier models, accessing innovations from Amazon Bedrock, Google's Gemini model family, and Azure OpenAI, with a total of 22 of the best LLMs available. It also supports Bring Your Own Model (BYOM) and provides flexible access to AI models through the Generative AI Hub, including out-of-the-box selection of compute resources and orchestration modules."learning.sap.com Vertically optimized for business applications: "SAP BTP is vertically optimized for business applications... leveraging components like SAP Datasphere, SAP HANA Cloud, and SAC to develop AI-powered data applications. It enhances analytical depth with advanced multi-modal analysis and optimized data and user management, and supports SAP AI for Business, such as Joule and document information extraction, to revolutionize SAP interactions and optimize developer efficiency."learning.sap.com Holistically integrated across enterprise workflows: "SAP BTP supports enterprise automation by helping customers utilize SAP Build, SAP Signavio, AI, and generative AI to automate and transform business processes, driving efficiency and innovation across operations. It also orchestrates the execution of multiple AI models, manages data flow, and optimizes computational resources to streamline and automate the end-to-end lifecycle of AI applications."learning.sap.com Additionally, "SAP BTP offers tight integration to the SAP core with tools for seamless, zero-modification integration and automation, aligned with SAP standards. It provides full master data integration, one domain model, stable APIs for lifecycle management, and access to all metadata and data, ensuring deep integration into SAP's business processes for enhanced operational efficiency."learning.sap.com Other options are incorrect because:
Option B: While SAP BTP integrates with SAP and non-SAP data, and has a partner ecosystem for third-party enhancements, it does not integrate seamlessly with "any" third-party software solution, as integration depends on compatibility and specific APIs, not universality.
Option C: SAP BTP mentions building on open-source models as a starting point, but it is not specifically optimized for open-source LLMs; instead, it focuses on a broad range of proprietary and frontier models from hyperscalers.
Reference from Positioning SAP Business AI Solutions as part of SAP Business Suite documents or Study Guide: This information is directly from the SAP Learning Journey "Boosting Your Cloud Transformation Journey with SAP Business AI and Generative AI," specifically the unit on "Building Custom SAP Business AI Solutions," which positions SAP BTP as the core platform for AI within the SAP Business Suite. Additional support comes from SAP community blogs and product pages emphasizing BTP's role in AI integration, as aligned with the C_BCBAI_2502 certification materials for positioning Business AI solutions.
質問 # 21
(What are some generative AI tools for an SAP Cloud ERP transformation? Note: There are 3 correct answers to this question.)
A. Integration generator
B. Process automation
C. Process model generator
D. Extension builder wizard
E. ABAP Business Object generator
正解：B、C、E
解説：
Comprehensive and Detailed Explanation From Exact Extract: Generative AI tools for SAP Cloud ERP transformation include process automation capabilities in SAP Build Process Automation for generating and automating business processes, the process model generator in SAP Signavio for creating process models using AI, and the ABAP Business Object generator in Joule for developing ABAP-based business objects to extend ERP functionalities. These tools facilitate efficient migration, customization, and optimization during cloud ERP transformations by leveraging generative AI to streamline code, processes, and extensions.
Exact extracts supporting this:
Process automation: "SAP Build Process Automation integrates with generative AI to generate and edit business processes, decisions, forms, and script tasks using natural language descriptions."sap.com This supports automation in ERP transformations.
Process model generator: "SAP Signavio uses generative AI to assist in process modeling, recommending performance indicators and generating models based on best practices."learning.sap.com ABAP Business Object generator: "Joule generates ABAP business objects using the ABAP RESTful Application Programming Model (RAP) for extensions in SAP S/4HANA Cloud."learning.sap.com "Generative AI in ABAP Cloud includes business object generation."community.sap.com Other options are incorrect because:
Option B: While extension building is simplified with wizards in SAP Build Code, it is not specifically a "generative AI tool" but rather a guided process; generative aspects come from Joule integration.
Option C: Integration generation is supported in SAP BTP, but not highlighted as a distinct generative AI tool for ERP transformation; focus is on code and process generation.
Reference from Positioning SAP Business AI Solutions as part of SAP Business Suite documents or Study Guide: Derived from SAP Learning Journey "Boosting Your Cloud Transformation Journey with SAP Business AI and Generative AI," units on generative AI in SAP Signavio, Build Process Automation, and ABAP Cloud. Supported by SAP Community blogs on generative AI for S/4HANA migration and SAP Help Portal, aligning with C_BCBAI_2502 certification for tools in cloud ERP transformations.
質問 # 22
Drag and drop the elements at the bottom to the architecture layers of the SAP LeanlX meta model. 正解：
解説：
質問 # 23
What are the main domain clusters of SAP's guiding principles for ethical AI? Note: There are 3 correct answers to this question.
A. AI Ethics Steering Committee
B. AI System engineering
C. Executive Sponsorship
D. Organizational practice
正解：A、B、D
解説：
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)
質問 # 24
With respect to AI agents, which functionalities are offered by the executive dashboard in SAP LeanIX? Note: There are 3 correct answers to this question.
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