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Valid C_BCBTP_2502 Test Blueprint - C_BCBTP_2502 Valid Exam Sample

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Valid C_BCBTP_2502 Test Blueprint - C_BCBTP_2502 Valid Exam Sample

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SAP C_BCBTP_2502 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Discovering SAP Business Technology Platform: This section of the exam measures the skills of SAP Solution Architects and focuses on positioning the SAP Business Technology Platform within the overall SAP Business Suite strategy. It includes understanding the platform’s role in enabling transformation, aligning with enterprise strategy, and supporting digital innovation. Candidates are expected to recognize the relevance of SAP BTP in modern business processes and how it integrates with other SAP offerings.
Topic 2
  • Illustrating CIO Transformation Delivered by SAP Business Suite: This section of the exam evaluates the skills of IT Transformation Managers and covers the role of SAP Business Suite in delivering value for CIO-led digital transformation. It highlights the significance of SAP’s portfolio in enterprise IT, introduces the capabilities of SAP BTP, and shows how it connects with end-to-end processes and industry-specific use cases. Candidates should also be able to identify the key products within SAP BTP and explain how cross-portfolio components integrate to deliver measurable value.

SAP Certified Associate - Positioning SAP Business Technology Platform as part of SAP Business Suite Sample Questions (Q14-Q19):NEW QUESTION # 14
How does SAP BTP support predictive analytics in business decision-making?
Note: There are 3 correct answers to this question.
  • A. By automating data visualization.
  • B. By leveraging AI and machine learning models.
  • C. By restricting analytics to financial data.
  • D. By requiring only manual data input.
  • E. By using SAP Data Intelligence for real-time insights.
Answer: A,B,E
Explanation:
SAP BTP provides a comprehensive ecosystem for predictive analytics, moving business decision-making from a reactive to a proactive state. This is achieved through three primary mechanisms. First, by leveraging AI and machine learning models (Option A), BTP services like SAP AI Core allow developers to train models on historical business data to predict future trends, such as customer churn or equipment failure.
Second, the platform automates data visualization (Option B) through SAP Analytics Cloud. This ensures that complex predictive insights are presented in an intuitive, dashboard-driven format that business leaders can easily interpret and act upon, rather than sifting through raw spreadsheets.
Third, the platform utilizes SAP Data Intelligence for real-time insights (Option D). This component orchestrates data from across diverse sources-both SAP and non-SAP-ensuring that the predictive models are fed with the most current and relevant information. By integrating these three pillars-intelligence (AI
/ML), visualization (Analytics), and orchestration (Data Intelligence)-SAP BTP transforms the SAP Business Suite into a forward-looking enterprise system. This allows organizations to anticipate market shifts, optimize their supply chains, and personalize customer interactions with a level of precision that was previously impossible, ultimately driving better business outcomes and long-term sustainability.

NEW QUESTION # 15
How does SAP Business AI enhance SAP BTP's capabilities?
  • A. By restricting AI usage to SAP ERP modules.
  • B. By replacing all existing business processes with AI-only solutions.
  • C. By eliminating machine learning capabilities.
  • D. By enabling AI-driven automation and decision-making.
Answer: D
Explanation:
SAP Business AI is the strategic layer that infuses intelligence directly into the business applications running on SAP BTP. It enhances the platform's capabilities by enabling AI-driven automation and intelligent decision-making across the entire enterprise value chain. Unlike generic AI, SAP Business AI is trained on industry-specific data and business semantics, ensuring that the insights it provides are relevant to specific corporate functions like finance, supply chain, and HR.
By leveraging services within BTP-such as SAP AI Core and SAP AI Launchpad-Business AI allows organizations to move from manual, reactive processes to proactive, automated ones. For example, it can automate the matching of incoming payments to invoices or predict potential supply chain disruptions before they occur. This positioning is critical for the SAP Business Suite because it doesn't just add a "feature"; it transforms the fundamental nature of the software from a "system of record" to a "system of intelligence." This allows human workers to focus on higher-value strategic tasks while the AI handles high-volume, repetitive data processing and provides data-backed recommendations, thereby significantly increasing organizational agility and competitive advantage.

NEW QUESTION # 16
What is a key feature of SAP BTP's AI capabilities?
  • A. Automated decision-making with machine learning models.
  • B. AI processing without cloud-based analytics support.
  • C. Rule-based decision-making without machine learning.
  • D. Limited AI functionalities restricted to specific SAP modules.
Answer: A
Explanation:
SAP BTP's approach to Artificial Intelligence is centered on the concept of "Business AI," which means AI is built specifically for business contexts and is deeply embedded within the SAP applications users use every day. A key feature of this capability is automated decision-making with machine learning (ML) models.
Unlike traditional rule-based systems that follow rigid "if-then" logic, ML models within BTP can analyze vast amounts of historical data to identify patterns and predict future outcomes. This allows the platform to provide recommendations, such as identifying the best supplier based on past performance or flagging potentially fraudulent financial transactions.
The AI Foundation on SAP BTP provides developers with ready-to-use services and tools to build, run, and manage AI-led extensions. This includes access to Large Language Models (LLMs) and specialized machine learning services that are pre-trained on business data. By positioning AI as a core component of BTP, SAP ensures that intelligence is not an afterthought but a central part of the business process. This enables a shift from reactive data entry to proactive, data-driven management. Furthermore, these AI capabilities are tightly integrated with SAP Analytics Cloud, ensuring that the insights generated by machine learning models are immediately actionable through intuitive visualizations and dashboards, thereby driving the digital transformation of the SAP Business Suite.

NEW QUESTION # 17
Which SAP BTP component supports microservices-based application development?
  • A. SAP SuccessFactors
  • B. SAP Kyma Runtime
  • C. SAP Concur
  • D. SAP Business Network
Answer: B
Explanation:
As enterprises move toward modern, scalable application architectures, the move from monolithic codebases to microservices becomes essential. SAP Kyma Runtime is the specific component of SAP BTP designed to support this transition. It is a fully managed Kubernetes-based environment that allows developers to extend SAP applications using serverless functions and microservices. Kyma provides a cloud-native way to build and run containerized applications, offering high scalability and flexibility.
Positioning Kyma within the SAP Business Suite ecosystem is critical for "side-by-side" extensibility. It allows developers to build specialized services-such as a custom loyalty engine or a unique logistics tracker-using their preferred programming languages and frameworks (like Node.js, Go, or Python) while maintaining a seamless connection to the SAP core. Kyma is particularly powerful for "event-driven" architectures; it can listen for events in SAP S/4HANA (like a "New Sales Order created" event) and instantly trigger a microservice to perform a specific action in a third-party system. This decouples the innovation layer from the stable core, allowing for rapid updates and deployments without risking the stability of the primary business processes.

NEW QUESTION # 18
Which market trend is driving the adoption of SAP BTP?
  • A. Decreasing focus on API-based integrations.
  • B. Reduced emphasis on business automation.
  • C. Increased need for data-driven decision-making.
  • D. Declining use of cloud-based solutions.
Answer: C
Explanation:
One of the most powerful market trends driving the global adoption of SAP BTP is the increased need for data-driven decision-making. In today's hyper-competitive landscape, "gut feeling" is no longer a viable strategy for business leaders. Organizations are sitting on mountains of data, but the challenge lies in extracting actionable insights from it. SAP BTP addresses this trend by providing a unified environment where data management, analytics, and AI converge. This allows businesses to transform raw data into a strategic asset, enabling more accurate forecasting, optimized operations, and enhanced customer experiences.
This trend is further accelerated by the "Digital Transformation" movement, where companies are moving away from monolithic, isolated systems toward agile, interconnected platforms. Businesses now demand real- time visibility across their entire value chain-from procurement to sales. SAP BTP's ability to integrate disparate systems and provide a "single source of truth" through SAP HANA Cloud and SAP Analytics Cloud directly addresses this market demand. As companies strive to become "Intelligent Enterprises," they rely on BTP to provide the technical infrastructure that supports continuous innovation, rapid automation, and the ability to pivot their business models based on data-driven evidence rather than historical assumptions.

NEW QUESTION # 19
......
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