2025 Accurate C_BCBAI_2502 Test Answers | 100% Free SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Passed

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SAP C_BCBAI_2502 Passed | Examinations C_BCBAI_2502 Actual Questions

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SAP C_BCBAI_2502 Exam Syllabus Topics:

Topic	Details
Topic 1	Understanding SAP AI Value Proposition: Explains the core benefits and strategic impact of SAP’s AI technologies on business efficiency and innovation.
Topic 2	Business AI Solutions Positioning: Covers how to effectively position SAP’s Business AI offerings within the SAP Business Suite to support intelligent enterprise goals.
Topic 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.

SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q30-Q35):

NEW QUESTION # 30
A logistics company is looking to reduce delivery delays and improve inventory management. Which SAP AI-powered solutions should they implement?
There are 3 correct answers to this question.
Response:

A. SAP Predictive Analytics
B. SAP AI Business Service
C. SAP BusinessObjects Planning
D. SAP Digital Manufacturing Cloud
E. SAP Cloud ERP

Answer: A,B,D

NEW QUESTION # 31
What are the key Business Al patterns?
There are 3 correct answers to this question.
Response:

A. Digital Assistants with SAP
B. Custom Generative Al Extensions
C. Insight Apps, Data for AI
D. Enterprise Automation
E. Al Lifecycle Management

Answer: A,C,D

NEW QUESTION # 32
Which SAP AI solution enables companies to analyze and predict employee attrition rates? Please choose the correct answer.

A. SAP Intelligent RPA
B. SAP Predictive Maintenance
C. SAP SuccessFactors AI
D. SAP Conversational AI

Answer: C

Explanation:
SAP SuccessFactors AI is the primary solution for analyzing and predicting employee attrition rates, leveraging AI to enhance HR processes. The correct answer is SAP SuccessFactors AI, as it is specifically designed to provide predictive workforce analytics and talent management insights.
SAP documentation highlights: "AI in human resources involves using artificial intelligence to streamline and enhance HR processes such as recruitment, employee engagement, and performance management. It automates repetitive tasks, analyzes large volumes of data for better decision-making, and offers personalized experiences for employees." Within SAP SuccessFactors AI, predictive analytics are used to "predict employee attrition rates" by analyzing factors like engagement, performance, and career progression. The solution's "talent intelligence hub" enables organizations to identify at-risk employees and implement retention strategies. FC Bayern's use of SAP SuccessFactors AI illustrates how it elevates HR processes by predicting talent needs and improving employee retention.
The incorrect options are not relevant to employee attrition prediction. SAP Intelligent RPA focuses on automating repetitive tasks, not HR analytics. SAP Conversational AI handles natural language interactions, such as chatbots, not attrition analysis. SAP Predictive Maintenance is designed for equipment maintenance in manufacturing, not HR. SAP SuccessFactors AI is the clear choice based on its documented HR-specific AI capabilities.

NEW QUESTION # 33
How does SAP Ariba contribute to supply chain sustainability? Please choose the correct answer.

A. By managing workforce training
B. By providing sales forecasting insights
C. By tracking HR compliance
D. By monitoring supplier risks and compliance

Answer: D

Explanation:
SAP Ariba contributes to supply chain sustainability by enabling organizations to manage supplier relationships and ensure compliance with sustainability standards. The correct answer is "Bymonitoring supplier risks and compliance," as this is the primary way SAP Ariba supports sustainable supply chain practices.
SAP documentation explains: "SAP Ariba helps organizations build sustainable supply chains by monitoring supplier risks and ensuring compliance with environmental, social, and governance (ESG) standards." It provides tools to "assess supplier performance, track compliance with sustainability regulations, and mitigate risks related to unethical practices or environmental violations." For example, SAP Ariba's supplier risk management capabilities allow companies to evaluate suppliers based on sustainability criteria, ensuring responsible sourcing and reducing environmental impact. This aligns with SAP's broader sustainability goals, as seen in solutions like SAP Sustainability Control Tower.
The incorrect options are unrelated to SAP Ariba's role in supply chain sustainability. Managing workforce training is an HR function, typically handled by SAP SuccessFactors. Providing sales forecasting insights is a marketing function, not specific to SAP Ariba. Tracking HR compliance is also an HR task, not a supply chain function. SAP Ariba's focus on supplier management and compliance makes it the clear choice for this purpose.

NEW QUESTION # 34
What are the key use cases of SAP AI in manufacturing? Note: There are 3 correct answers to this question.

A. Manual equipment failure analysis
B. AI-driven predictive maintenance
C. AI-powered production scheduling
D. Automated quality control
E. Handwritten production reports

Answer: B,C,D

Explanation:
SAP AI provides transformative use cases in manufacturing, leveraging AI to optimize processes and improve efficiency. The correct answers are AI-driven predictive maintenance, automated quality control, and AI- powered production scheduling, as these are explicitly documented as key use cases in SAP's manufacturing solutions.
SAP documentation highlights: "SAP AI in manufacturing supports predictive maintenance, quality control, and production scheduling to enhance operational efficiency and reduce costs." AI-driven predictive maintenance, supported by SAP Digital Manufacturing Cloud, uses "machine learning to predict equipment failures and schedule maintenance proactively," minimizing downtime. Automated quality control leverages AI to "analyze production data in real-time" and "detect defects automatically," ensuring product quality, as seen in SAP S/4HANA Manufacturing. AI-powered production scheduling optimizes "resource allocation and production timelines" by analyzing demand and capacity, supported by solutions like SAP Integrated Business Planning.
The incorrect options-manual equipment failure analysis and handwritten production reports-are not AI- driven. Manual equipment failure analysis contradicts SAP's automation focus, and handwritten production reports are outdated practices replaced by digital solutions. SAP's manufacturing case studies, such as those involving SAP Digital Manufacturing Cloud, confirm the relevance of the selected use cases.

NEW QUESTION # 35
......

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2025 Accurate C_BCBAI_2502 Test Answers | 100% Free SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Passed

SAP C_BCBAI_2502 Passed | Examinations C_BCBAI_2502 Actual Questions

SAP C_BCBAI_2502 Exam Syllabus Topics:

SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q30-Q35):

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