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C_BCBAI_2502시험난이도 & C_BCBAI_2502최신업데이트인증덤프자료
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DumpTOP의 SAP 인증 C_BCBAI_2502시험덤프공부자료는 pdf버전과 소프트웨어버전 두가지 버전으로 제공되는데 SAP 인증 C_BCBAI_2502실제시험예상문제가 포함되어있습니다.덤프의 예상문제는 SAP 인증 C_BCBAI_2502실제시험의 대부분 문제를 적중하여 높은 통과율과 점유율을 자랑하고 있습니다. DumpTOP의 SAP 인증 C_BCBAI_2502덤프를 선택하시면 IT자격증 취득에 더할것 없는 힘이 될것입니다.
SAP C_BCBAI_2502 시험요강:
주제
소개
주제 1
- Business AI Solutions Positioning: Covers how to effectively position SAP’s Business AI offerings within the SAP Business Suite to support intelligent enterprise goals.
주제 2
- Understanding SAP AI Value Proposition: Explains the core benefits and strategic impact of SAP’s AI technologies on business efficiency and innovation.
주제 3
- Integration with SAP Ecosystem: Highlights how SAP AI integrates with solutions like SAP S
- 4HANA, SAP Customer Experience, and SAP BTP for end-to-end process optimization.
최신 C_BCBAI_2502시험난이도 덤프는 SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite시험문제의 모든 유형과 범위를 커버
DumpTOP는IT업계전문가들이 그들의 노하우와 몇 년간의 경험 등으로 자료의 정확도를 높여 응시자들의 요구를 만족시켜 드립니다. 우리는 꼭 한번에SAP C_BCBAI_2502시험을 패스할 수 있도록 도와드릴 것입니다. 여러분은SAP C_BCBAI_2502시험자료 구매로 제일 정확하고 또 최신시험버전의 문제와 답을 사용할 수 있습니다. Pass4Tes의 인증시험적중 율은 아주 높습니다. 때문에 많은 IT인증시험준비중인분들에세 많은 편리를 드릴수 있습니다.100%정확도 100%신뢰.여러분은 마음편히 응시하시면 됩니다.
최신 SAP Certified Associate C_BCBAI_2502 무료샘플문제 (Q61-Q66):
질문 # 61
(What are some generative AI tools for an SAP Cloud ERP transformation? Note: There are 3 correct answers to this question.)
- A. Extension builder wizard
- B. Process model generator
- C. Integration generator
- D. ABAP Business Object generator
- E. Process automation
정답:B,D,E
설명:
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.
질문 # 62
What are the key Business AI patterns? Note: There are 3 correct answers to this question.
- A. Enterprise Automation
- B. Digital Assistants with SAP
- C. Custom Generative AI Extensions
- D. Insight Apps, Data for AI
- E. AI Lifecycle Management
정답:A,B,D
설명:
SAP Business AI is structured around key patterns that define how AI is applied across business processes.
The correct answers are Digital Assistants with SAP, Enterprise Automation, and Insight Apps, Data for AI, as these are explicitly documented as core Business AI patterns in SAP's framework.
SAP documentation states: "SAP Business AI is built around key patterns that enable organizations to leverage AI effectively: Digital Assistants with SAP, Enterprise Automation, and Insight Apps, Data for AI." Digital Assistants with SAP, exemplified by Joule, provide "natural language interfaces to interact with business processes," enhancing user productivity. Enterprise Automation involves "using AI-driven automation, such as SAP Intelligent RPA, to streamline repetitive tasks and optimize workflows" across functions like finance and supply chain. Insight Apps, Data for AI refers to "delivering predictive analytics and data-driven insights" through applications like SAP S/4HANA, which support decision-making with real- time data.
The incorrect options-AI Lifecycle Management and Custom Generative AI Extensions-are not listed as primary Business AI patterns. AI Lifecycle Management is a technical process for managing AI models, not a business pattern. Custom Generative AI Extensions, while emerging, are not a core pattern in SAP's current Business AI framework, which focuses on established use cases. SAP's emphasis on these patterns, as seen in its AI strategy, confirms the selected answers.
질문 # 63
(How is extension building simplified in SAP S/4HANA? Note: There are 2 correct answers to this question.)
- A. By using a guided wizard
- B. By explaining legacy code
- C. By using Joule
- D. By using business context
정답:A,D
설명:
Comprehensive and Detailed Explanation From Exact Extract: Extension building in SAP S/4HANA is simplified by using a guided wizard in tools like SAP Build Code for step-by-step development, and by leveraging business context to ground extensions in relevant data and processes, ensuring clean core principles and seamless integration.
Exact extracts supporting this:
Guided wizard: "SAP Build has been designed as the optimal way to extend SAP S/4HANA Cloud... with guided processes."news.sap.com "Creating an SAP S/4HANA extension app in 60 minutes with guided wizards."community.sap.com Business context: "Extend SAP S/4HANA in the cloud and on premise with ABAP-based extensions using business context."community.sap.com "This guide provides a simplified introduction to extending SAP's Enterprise Resource Planning (ERP) offerings using business context."help.sap.com Other options are incorrect because:
Option A: Joule assists in code generation and explanation but is not the primary method for simplifying extension building; wizards and context are emphasized.
Option D: Explaining legacy code is a Joule feature but applies more to migration than direct extension simplification in S/4HANA.
Reference from Positioning SAP Business AI Solutions as part of SAP Business Suite documents or Study Guide: Based on SAP Community blog "SAP S/4HANA Extensibility - Simplified Guide for Beginners" and SAP Help Portal "Getting Started with Extensibility." These position guided wizards and business context as key simplifiers for extensions in S/4HANA, aligned with C_BCBAI_2502 certification.
질문 # 64
(Why is SAP BTP uniquely positioned for AI usage? Note: There are 3 correct answers to this question.)
- A. It is optimized for using open-source LLMs.
- B. It offers flexibility of choice of an LLM.
- C. It integrates seamlessly with any third-party software solution.
- D. It is vertically optimized for business applications.
- E. It is holistically integrated across enterprise workflows.
정답:B,D,E
설명:
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.
질문 # 65
Which SAP module focuses on workplace safety and environmental compliance?
Please choose the correct answer.
Response:
- A. SAP Financial Closing Cockpit
- B. SAP Predictive Analytics
- C. SAP Environment, Health, and Safety (EHS)
- D. SAP Business Network
정답:C
질문 # 66
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