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C_BCSBS_2502 New Study Questions, C_BCSBS_2502 Valid Exam Cost

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SAP C_BCSBS_2502 Exam Syllabus Topics:

Topic
Details

Topic 1

Configuring SAP Business Suite Modules: This section of the exam measures the skills of an SAP Functional Consultant and covers the fundamental techniques for setting up core modules within the SAP Business Suite. Examinees will show how to perform basic system configuration in areas such as general ledger, procurement, sales order management, and personnel administration, how to tailor master data and organizational structures, and how to validate key integration points that ensure seamless data flow across modules.

Topic 2

Positioning SAP Business Suite: This section of the exam measures skills of an SAP Solution Advisor and covers a comprehensive understanding of the SAP Business Suite, its key components, and how it supports various business processes across industries. Candidates must demonstrate how to articulate the suite’s capabilities in finance, logistics, human resources, and analytics, explain its integration pattern for end?to?end operations, and position its deployment options to align with strategic goals and digital transformation roadmaps.

Topic 3

Managing and Extending the SAP Business Suite Landscape: This section of the exam measures skills of an SAP Basis Administrator and covers the operational and technical activities required to maintain and enhance a SAP Business Suite environment. Candidates must demonstrate understanding of system provisioning and patching strategies, transport management, performance monitoring and tuning, as well as options for extending functionality via enhancement packages, add?on installations, and integration with SAP’s cloud?based extension services.

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C_BCSBS_2502 New Study Questions: Unparalleled SAP Certified Associate - Positioning SAP Business Suite - Free PDF Quiz 2025 C_BCSBS_2502

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SAP Certified Associate - Positioning SAP Business Suite Sample Questions (Q21-Q26):

NEW QUESTION # 21
Which key features are included in SAP Business Suite for human capital management? There are 2 correct answers to this question.

A. Customer engagement analytics
B. Employee performance tracking
C. Freight and logistics tracking
D. Payroll and benefits administration

Answer: B,D

NEW QUESTION # 22
Which SAP solutions enhance supplier management and procurement? There are 3 correct answers to this question.

A. SAP SCM
B. SAP Ariba
C. SAP Predictive Analytics
D. SAP Transportation Management
E. SAP Business Network

Answer: A,B,E

NEW QUESTION # 23
Which SAP solutions provide real-time business intelligence and reporting? There are 2 correct answers to this question.

A. SAP Predictive Analytics
B. SAP BusinessObjects
C. SAP Transportation Management
D. SAP Fieldglass

Answer: A,B

NEW QUESTION # 24
What is the key advantage of SAP data products?

A. Self-service analytical modeling within a data fabric architecture
B. Ready-to-run insights that leverage planning and analysis
C. Consistency and business context embedded in SAP-managed dataset and semantics

Answer: C

Explanation:
SAP data products are standardized, curated datasets within SAP Business Data Cloud (BDC) that encapsulate business data with embedded semantics and context, designed to enable advanced analytics, AI, and seamless data sharing across SAP and non-SAP systems. The question asks for the key advantage of SAP data products, with one correct answer. Below, each option is evaluated based on official SAP documentation, SAP Learning materials, and relevant web sources from the provided search results, ensuring alignment with the "Positioning SAP Business Suite" and "SAP Business Data Cloud" narratives.
* Option A: Consistency and business context embedded in SAP-managed dataset and semanticsThe primary advantage of SAP data products is their ability to provide consistency and embedded business context within SAP-managed datasets and semantics. These data products are pre-curated, semantically rich datasets that preserve the business meaning and context of data from SAP applications (e.g., SAP S
/4HANA, SAP SuccessFactors) and integrate with non-SAP data. This ensures that data is consistent, trusted, and ready for analytics and AI without requiring extensive re-engineering or external transformation. The documentation explicitly highlights this as the key advantage, emphasizing how SAP data products eliminate the need to rebuild business logic and maintain data integrity across use cases.Extract: "SAP Business Data Cloud offers several capabilities for connecting and harmonizing data. By leveraging an SAP-managed Lakehouse, users can maintain rich business semantics for SAP- sourced data products right out-of-the-box. ... Data products are curated and managed by SAP, ensuring consistency and business context for advanced analytics and AI." Extract: "Built-In Business Semantics: Because SAP data already carries deep business context and semantics, Databricks can provide powerful analytics and machine learning without forcing customers to re-invent data pipelines or guess at the meaning of fields." Extract: "SAP data products provide a consistent, semantically rich foundation for data sharing, ensuring that business context is preserved across SAP and non-SAP systems, reducing complexity and enabling trusted insights." This option is correct.
* Option B: Ready-to-run insights that leverage planning and analysisWhile SAP Business Data Cloud provides ready-to-run insights through its Intelligent Applications, which combine planning and analysis, this is a feature of the broader SAP BDC platform, not a specific advantage of SAP data products. SAP data products are the underlying datasets that feed these applications, but their primary role is to provide a consistent, semantically rich data foundation, not to deliver insights directly. The documentation distinguishes between data products (data layer) and intelligent applications (analytics layer), making this option less accurate as the key advantage.Extract: "New to SAP Business Data Cloud (SAP BDC) are context-aware SAP Business Data Cloud Intelligent Applications. These pre- configured dashboards provide ready-to-run insights by combining planning and analysis, all infused with trusted Artificial Intelligence (AI) to drive smarter, faster decisions." This option is incorrect.
* Option C: Self-service analytical modeling within a data fabric architectureSAP Business Data Cloud supports self-service analytical modeling through SAP Datasphere, which operates within a data fabric architecture to enable business users to create data models. However, this capability is not a primary advantage of SAP data products themselves. SAP data products are focused on delivering curated, SAP- managed datasets with embedded semantics, not on enabling self-service modeling. The data fabric architecture is a broader feature of SAP BDC, and self-service modeling is a function of tools like SAP Datasphere, not the data products.Extract: "SAP Datasphere: This works as central component in BDC by creating consumption ready data models on top of Data Products while also managing analytical roles, access controls etc." This option is incorrect.
Summary of Correct answer:
* A: The key advantage of SAP data products is their consistency and business context embedded in SAP- managed datasets and semantics, ensuring trusted, semantically rich data for analytics and AI without the need for external re-engineering.
References:
SAP.com: SAP Business Data Cloud
SAP Learning: Positioning SAP Business Data Cloud
SAP Learning: Positioning SAP Business Suite
SAP.com: SAP Databricks in Business Data Cloud
SAP Business Data Cloud - Making Data Work Together | by Sandip Roy | Medium SAP Community: SAP Databricks in SAP Business Data Cloud: Unifying SAP Business Data with Lakehouse Intelligence Databricks Blog: Announcing the General Availability of SAP Databricks on SAP Business Data Cloud

NEW QUESTION # 25
What are some characteristics of trustworthy business AI? Note: There are 3 correct answers to this question.

A. Resourceful
B. Reliable
C. Responsible
D. Reusable
E. Relevant

Answer: B,C,E

Explanation:
Trustworthy business AI is a cornerstone of SAP's Business AI strategy, ensuring that AI solutions are ethical, effective, and aligned with enterprise needs. SAP emphasizes characteristics that build trust in AI deployments, particularly in the context of SAP Business Data Cloud and SAP S/4HANA, to deliver outcomes that are dependable and business-ready. The question asks for the characteristics of trustworthy business AI, with three correct answers. Below, each option is evaluated based on official SAP documentation, SAP Learning materials, and relevant web sources from the provided search results, ensuring alignment with the "Positioning SAP Business Suite" and "SAP Business AI" narratives.
* Option A: ResourcefulWhile being resourceful (i.e., efficiently utilizing resources) may be a desirable trait for AI systems in general, it is not explicitly identified as a characteristic of trustworthy business AI in SAP's documentation. SAP focuses on attributes like relevance, responsibility, and reliability to define trustworthiness, emphasizing ethical and dependable outcomes over resource efficiency. The term "resourceful" does not appear in the context of trustworthy AI in the provided materials.Extract:
"SAP Business AI is built on a foundation of responsible AI, ensuring transparency, fairness, and compliance. Our solutions prioritize ethical AI practices to minimize bias and deliver trusted outcomes for your business." This option is incorrect.
* Option B: ReusableReusability, such as reusing AI models or data products across applications, is a practical feature in some AI systems but is not a defining characteristic of trustworthy business AI according to SAP's framework. Trustworthy AI is more about ensuring the AI is ethical, accurate, and contextually appropriate, rather than its ability to be reused. The documentation does not highlight reusability as a key attribute of trustworthy AI, focusing instead on attributes that ensure trust and dependability.Extract: "Foster reliable AI: Ensure data across applications and operations has a foundation for generative AI that is reliable, responsible, and relevant." This option is incorrect.
* Option C: RelevantRelevance is a critical characteristic of trustworthy business AI, ensuring that AI outputs are contextually appropriate and aligned with specific business needs. SAP's Business AI, including tools like Joule and SAP Business Data Cloud, leverages semantically rich data to deliver AI insights that are relevant to business processes in areas like Finance, Supply Chain, and HR. The documentation explicitly identifies relevance as a key attribute, emphasizing that trustworthy AI must provide meaningful, business-specific results.Extract: "Foster reliable AI: Ensure data across applications and operations has a foundation for generative AI that is reliable, responsible, and relevant." Extract: "SAP Business AI delivers relevant outcomes by embedding AI into business processes, ensuring that insights and recommendations are tailored to your specific business context." This option is correct.
* Option D: ResponsibleResponsibility is a fundamental characteristic of trustworthy business AI, encompassing ethical practices, transparency, and fairness to minimize bias and ensure compliance with regulations. SAP's AI strategy prioritizes responsible AI to build trust, ensuring that AI systems operate ethically and align with corporate governance standards. This is a core focus in SAP's documentation and marketing materials, making it a key characteristic of trustworthy AI.Extract: "SAP Business AI is built on a foundation of responsible AI, ensuring transparency, fairness, and compliance. Our solutions prioritize ethical AI practices to minimize bias and deliver trusted outcomes for your business." Extract:
"Foster reliable AI: Ensure data across applications and operations has a foundation for generative AI that is reliable, responsible, and relevant." This option is correct.
* Option E: ReliableReliability is a crucial characteristic of trustworthy business AI, ensuring that AI systems deliver consistent, accurate, and dependable results. SAP emphasizes reliability to ensure that AI outputs can be trusted for critical business decisions, supported by high-quality data and robust governance. The documentation consistently highlights reliability as a key attribute of trustworthy AI, particularly in the context of SAP Business Data Cloud and SAP Business AI.Extract: "Foster reliable AI: Ensure data across applications and operations has a foundation for generative AI that is reliable, responsible, and relevant." Extract: "SAP Business AI ensures reliable outcomes by leveraging trusted data and advanced governance, enabling businesses to depend on AI for critical decision-making." This option is correct.
Summary of Correct Answers:
* C: Relevant AI ensures contextually appropriate, business-specific outcomes, aligning with enterprise needs.
* D: Responsible AI prioritizes ethical practices, transparency, and fairness to minimize bias and ensure compliance.
* E: Reliable AI delivers consistent, accurate, and dependable results, building trust in business applications.
References:
SAP.com: SAP Business AI
SAP Learning: Positioning SAP Business Suite
SAP Learning: Positioning SAP Business Data Cloud
SAP.com: SAP Business Data Cloud
Delaware UK & Ireland: Unleash transformative insights with SAP Business Data Cloud SAP and Databricks Power New Era of Business Data and AI | Procurement Magazine SAP Launches Business Data Cloud to Transform Enterprise AI | Technology Magazine

NEW QUESTION # 26
......

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