C_BCBTP_2502 合格直結！至高の SAP SAP Certified Associate - Positioning SAP Business Technology Platform as part of SAP Business Suite 学習法ShikenPASSのSAP C_BCBTP_2502問題集は専門家たちが数年間で過去のデータから分析して作成されて、試験にカバーする範囲は広くて、受験生の皆様のお金と時間を節約します。我々C_BCBTP_2502問題集の通過率は高いので、90％の合格率を保証します。あなたは弊社の高品質SAP C_BCBTP_2502試験資料を利用して、一回に試験に合格します。 SAP Certified Associate - Positioning SAP Business Technology Platform as part of SAP Business Suite 認定 C_BCBTP_2502 試験問題 (Q16-Q21):質問 # 16
Which of the following capabilities does SAP AI Core provide?
A. Transactional data management for ERP systems.
B. Strictly rule-based automation without AI capabilities.
C. Predictive analytics and machine learning model deployment.
D. Hardware infrastructure for AI development.
正解：C
解説：
SAP AI Core is a vital service within the "Intelligent Technologies" pillar of SAP BTP, designed to handle the heavy lifting of artificial intelligence at an enterprise scale. Its primary capability is providing a standardized, highly scalable runtime for predictive analytics and machine learning (ML) model deployment. In the modern SAP Business Suite, "intelligence" is no longer just a buzzword; it is a functional requirement. SAP AI Core allows businesses to take raw data from their systems, train sophisticated models, and then deploy those models into production environments where they can serve real-time predictions.
This service is unique because it supports the full lifecycle of an AI model, including execution and monitoring. It allows developers to integrate AI features into their applications while maintaining "AI Ethics" and transparency, which are critical for enterprise compliance. Unlike standard transactional databases that focus on record-keeping, SAP AI Core focuses on "inference"-using data to generate new insights and automate complex decisions. By positioning SAP AI Core as the engine for intelligence, SAP BTP ensures that organizations can move beyond basic automation toward advanced, self-learning processes that improve over time, such as predictive maintenance in manufacturing or intelligent lead scoring in sales.
質問 # 17
Which SAP BTP component helps businesses extract insights from structured and unstructured data?
A. SAP Integration Suite
B. SAP Business Network
C. SAP SuccessFactors
D. SAP Data Intelligence
正解：D
解説：
In today's data landscape, business value is hidden not just in "structured" databases (like tables and spreadsheets) but also in "unstructured" data (like images, sensor logs, and social media feeds). SAP Data Intelligence is the specific component of SAP BTP designed to manage this diversity. It is a comprehensive data management solution that provides data orchestration, data cataloging, and powerful machine learning integration. It allows data scientists and engineers to create "data pipelines" that ingest, transform, and analyze data regardless of its source or format.
The role of SAP Data Intelligence within the SAP Business Suite is to turn "dark data" into actionable insights. For example, it can take unstructured maintenance logs from factory machinery and combine them with structured financial data to predict the total cost of ownership of an asset. By providing a unified view of the entire data landscape-whether that data resides in an SAP HANA database, a non-SAP data warehouse, or a cloud "data lake"-it ensures that decision-makers have a complete picture. This capability is vital for advanced AI and machine learning projects, as it provides the robust data foundation required to train accurate models, thereby positioning SAP BTP as a leader in enterprise data orchestration.
質問 # 18
Which SAP BTP service enables businesses to orchestrate and monitor enterprise-wide workflows?
A. SAP Conversational AI
B. SAP Business Network
C. SAP Workflow Management
D. SAP Ariba
正解：C
解説：
In the context of the Intelligent Enterprise, business processes often span multiple departments and different software systems. SAP Workflow Management (now largely integrated into the SAP Build Process Automation suite) is the specific BTP service designed to bridge these gaps. It allows organizations to digitize, manage, and operate business processes with high levels of transparency. The service provides a centralized platform to define process flows, set approval limits, and ensure that tasks are routed to the correct stakeholders in a timely manner.
The importance of this service lies in its ability to provide "live process visibility." Unlike traditional siloed workflows, SAP Workflow Management on BTP can pull data from various SAP Business Suite components-like Finance, Procurement, or HR-to create an end-to-end view of a business operation. This orchestration is critical for identifying bottlenecks and improving operational efficiency. While SAP Business Network and SAP Ariba facilitate external collaboration and procurement respectively, they do not provide the underlying technical framework for custom workflow orchestration across the entire enterprise landscape.
By utilizing BTP's workflow capabilities, companies can achieve a higher level of automation and governance, ensuring that business rules are consistently applied across all digital touchpoints, whether the underlying systems are cloud-based or on-premise.
質問 # 19
How does SAP HANA Cloud improve business data processing?
A. Enables in-memory computing for real-time analytics.
B. Restricts data access to SAP applications only.
C. Eliminates cloud computing in favor of on-premise storage.
D. Requires batch processing for data retrieval.
正解：A
解説：
The primary innovation of SAP HANA Cloud is its in-memory computing engine, which stores data in RAM rather than on traditional spinning disks. This architecture allows for the processing of vast amounts of data at speeds that are orders of magnitude faster than legacy databases. For the SAP Business Suite, this means that the boundary between "doing the work" (transactions) and "analyzing the work" (analytics) disappears. Users can run complex, multi-dimensional analytical queries on live, "hot" data without the need for time-consuming data extracts or batch processing.
By enabling real-time analytics, SAP HANA Cloud empowers business leaders to make decisions based on what is happening now, rather than what happened last week. It also introduces "data tiering," which allows organizations to manage costs by keeping frequently accessed data in-memory while moving less critical data to cheaper "warm" or "cold" storage (Data Lake), all while keeping it accessible through a single interface.
This flexibility is essential for modern enterprises that deal with "Big Data" but require the agility of the cloud. Positioning HANA Cloud as the data foundation of BTP ensures that every application built on the platform is inherently fast, scalable, and capable of delivering instant insights.
質問 # 20
How does SAP Business AI enhance SAP BTP's capabilities?
A. By replacing all existing business processes with AI-only solutions.
B. By enabling AI-driven automation and decision-making.
C. By eliminating machine learning capabilities.
D. By restricting AI usage to SAP ERP modules.
正解：B
解説：
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.
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