Latest C-BCBAI-2502 Test Questions & Latest C-BCBAI-2502 Exam Pass4sure
Latest C-BCBAI-2502 Test Questions & Latest C-BCBAI-2502 Exam Pass4sure
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SAP C-BCBAI-2502 Exam Syllabus Topics:
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>> Latest C-BCBAI-2502 Test Questions <<
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SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q34-Q39):
NEW QUESTION # 34
If a company implements SAP's Business Al offerings comprehensively, all things being equal, which bottomline benefits could they expect?
There are 2 correct answers to this question.
Response:
- A. Revenue increase: up to 3.5%
- B. Gross profit increase: up to 1.4%
- C. Revenue increase: up to 1.4%
- D. Gross profit increase: up to 3.5%
Answer: A,B
NEW QUESTION # 35
Which AI capability is commonly used in SAP Business AI to enhance customer service?
Please choose the correct answer.
Response:
- A. Blockchain technology
- B. Natural Language Processing (NLP)
- C. AI-driven payroll automation
- D. Predictive maintenance
Answer: B
NEW QUESTION # 36
Which SAP module focuses on workplace safety and environmental compliance? Please choose the correct answer.
- A. SAP Environment, Health, and Safety (EHS)
- B. SAP Business Network
- C. SAP Financial Closing Cockpit
- D. SAP Predictive Analytics
Answer: A
Explanation:
SAP Environment, Health, and Safety (EHS) is the dedicated module for managing workplace safety and environmental compliance, ensuring organizations meet regulatory and sustainability standards. The correct answer is SAP Environment, Health, and Safety (EHS), as it is explicitly designed for this purpose.
SAP documentation states: "SAP Environment, Health, and Safety (SAP EHS) supports companies in managing workplace safety, environmental compliance, and sustainability initiatives. It helps organizations comply with global regulations, ensure safe working conditions, and track environmental performance." SAP EHS enables companies to "monitor workplace incidents, manage safety protocols, and report on environmental compliance," such as emissions and waste management, to meet regulatory requirements. For example, it supports "tracking and reporting environmental data" to ensure adherence to standards, aligning with SAP's sustainability-focused solutions.
The incorrect options are unrelated to workplace safety and environmental compliance. SAP Business Network focuses on supplier collaboration and procurement, not safety or compliance. SAP Financial Closing Cockpit is used for financial reporting, not environmental or safety management. SAP Predictive Analytics supports forecasting and trend analysis, not compliance. SAP EHS is the clear choice for this purpose, as confirmed by its role in SAP's sustainability portfolio.
NEW QUESTION # 37
How does SAP AI improve financial forecasting and reporting? Note: There are 3 correct answers to this question.
- A. AI-powered predictive analytics for financial trends
- B. Conversational AI for customer service automation
- C. AI-based anomaly detection in financial transactions
- D. Automated financial risk assessment
- E. SAP Blockchain for invoice validation
Answer: A,C,D
Explanation:
SAP AI enhances financial forecasting and reporting by leveraging advanced analytics, automation, and anomaly detection to improve accuracy and mitigate risks. The correct answers are AI-powered predictive analytics for financial trends, automated financial risk assessment, and AI-based anomaly detection in financial transactions, as these are core functionalities documented in SAP's financial AI solutions.
SAP documentation states: "SAP AI in finance, embedded in solutions like SAP S/4HANA, improves financial forecasting and reporting through predictive analytics, automated risk assessment, and anomaly detection." AI-powered predictive analytics enables "forecasting expected incoming payments and financial trends" by analyzing historical and real-time data, as seen in SAP Collections Management. Automated financial risk assessment uses AI to "evaluate financial risks automatically," such as identifying high-risk accounts or potential cash flow issues, enhancing decision-making. AI-based anomaly detection supports
"identifying unusual patterns in financial transactions," such as potential fraud, through solutions like SAP Cash Application, which mitigates financial losses.
The incorrect options-conversational AI for customer service automation and SAP Blockchain for invoice validation-are not relevant to financial forecasting and reporting. Conversational AI, powered by Joule, is designed for customer interactions, not financial processes. SAP Blockchain for invoice validation focuses on secure transactions, not forecasting or reporting. SAP's emphasis on AI-driven financial solutions, as seen in case studies like SAP S/4HANA Finance, confirms the selected functionalities.
NEW QUESTION # 38
What are the benefits of SAP AI-driven predictive analytics? Note: There are 3 correct answers to this question.
- A. Real-time decision-making insights
- B. Increased manual data entry
- C. Manual invoice processing
- D. Automated anomaly detection
- E. Future trend forecasting
Answer: A,D,E
Explanation:
SAP AI-driven predictive analytics provides significant benefits by enabling organizations to anticipate trends, make informed decisions, and automate anomaly detection. The correct answers are future trend forecasting, real-time decision-making insights, and automated anomaly detection, as these are core benefits documented in SAP's AI portfolio.
SAP documentation states: "SAP Business AI offers predictive analytics to enhance decision-making, provide personalized insights, and improve business processes. It supports future trend forecasting, real-time decision- making, and automated anomaly detection across functions like finance, supply chain, and marketing." Future trend forecasting allows organizations to "predict customer demand, financial trends, and operational risks," as seen in SAP S/4HANA's forecasting of incoming payments. Real-time decision-making insights enable
"proactive responses to market changes" by analyzing live data, such as in SAP Integrated Business Planning.
Automated anomaly detection identifies "unusual patterns in financial transactions or supply chain operations," enhancing security and efficiency, as exemplified by SAP AI Business Services' fraud detection capabilities.
The incorrect options-increased manual data entry and manual invoice processing-are contrary to SAP's automation focus. Predictive analytics aims to reduce manual efforts, not increase them, and manual invoice processing is replaced by solutions like SAP Cash Application. SAP's emphasis on AI-driven automation and insights, as seen in case studies like Henkel's supply chain optimization, confirms the selected benefits.
NEW QUESTION # 39
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