Practice Free C_BCBTP_2502 Exam Online Questions
Question #31
How does SAP BTP enable AI-driven insights?
Note: There are 2 correct answers to this question.
- A . By leveraging SAP AI Core for machine learning models
- B . By integrating SAP Data Intelligence for data processing
- C . By using manual workflows for AI processing
- D . By requiring on-premise servers only
Correct Answer: A, B
A, B
Explanation:
SAP BTP enables AI-driven insights using SAP AI Core for machine learning and SAP Data Intelligence for data integration and processing, enhancing data-driven decision-making.
A, B
Explanation:
SAP BTP enables AI-driven insights using SAP AI Core for machine learning and SAP Data Intelligence for data integration and processing, enhancing data-driven decision-making.
Question #32
What is a key advantage of integrating SAP BTP with SAP Sustainability solutions?
- A . Real-time tracking and reporting of sustainability metrics
- B . Restriction of sustainability initiatives to finance teams
- C . Prevention of AI-driven sustainability analytics
- D . Elimination of automated compliance tracking
Correct Answer: A
A
Explanation:
SAP Sustainability solutions integrated with SAP BTP enable real-time tracking of carbon footprints, regulatory compliance, and sustainability initiatives.
A
Explanation:
SAP Sustainability solutions integrated with SAP BTP enable real-time tracking of carbon footprints, regulatory compliance, and sustainability initiatives.
Question #33
What is a key feature of SAP BTP’s AI capabilities?
- A . Built-in machine learning models for business applications
- B . Restriction to structured datasets only
- C . On-premise AI models without cloud support
- D . Inability to integrate with third-party AI services
Correct Answer: A
A
Explanation:
SAP BTP provides AI and machine learning models that integrate with business applications to enhance automation and predictive analytics.
A
Explanation:
SAP BTP provides AI and machine learning models that integrate with business applications to enhance automation and predictive analytics.
Question #34
Which SAP BTP solution can be used to streamline handling of blocked sales orders?
- A . SAP Datasphere
- B . SAP Analytics Cloud
- C . SAP Build Process Automation
- D . SAP Integration Suite
Correct Answer: C
C
Explanation:
SAP Build Process Automation helps automate workflows, such as resolving blocked sales orders, improving efficiency, and reducing manual interventions.
C
Explanation:
SAP Build Process Automation helps automate workflows, such as resolving blocked sales orders, improving efficiency, and reducing manual interventions.
Question #35
Which SAP BTP services support AI-driven automation? (Choose two)
- A . SAP AI Core
- B . SAP Business Process Intelligence
- C . SAP Concur
- D . SAP Business Network
Correct Answer: A, B
A, B
Explanation:
SAP AI Core and SAP Business Process Intelligence leverage AI to enhance automation, optimize workflows, and provide predictive analytics for improved business efficiency.
A, B
Explanation:
SAP AI Core and SAP Business Process Intelligence leverage AI to enhance automation, optimize workflows, and provide predictive analytics for improved business efficiency.
Question #36
How does SAP BTP support cloud-native application development?
- A . By offering microservices, Kubernetes, and serverless computing
- B . By enforcing rigid development frameworks
- C . By restricting businesses to SAP-only infrastructure
- D . By preventing automation and AI integration
Correct Answer: A
A
Explanation:
SAP BTP enables cloud-native development using microservices, serverless computing, and Kubernetes, ensuring flexibility and scalability in application deployment.
A
Explanation:
SAP BTP enables cloud-native development using microservices, serverless computing, and Kubernetes, ensuring flexibility and scalability in application deployment.
Question #37
Which SAP BTP service supports real-time financial data analysis for banking and finance industries?
- A . SAP HANA Cloud
- B . SAP Business Network
- C . SAP Fieldglass
- D . SAP Conversational AI
Correct Answer: A
A
Explanation:
SAP HANA Cloud enables real-time financial data processing and analysis, helping banks and financial institutions enhance risk management and compliance.
A
Explanation:
SAP HANA Cloud enables real-time financial data processing and analysis, helping banks and financial institutions enhance risk management and compliance.
Question #38
Which market trend is driving the adoption of SAP BTP?
- A . Increased reliance on manual data processing
- B . Growth of AI, machine learning, and cloud-based analytics
- C . Decline in demand for enterprise automation
- D . Reduced focus on multi-cloud strategies
Correct Answer: B
B
Explanation:
Enterprises are adopting AI and cloud analytics to improve efficiency and automation, making SAP BTP a key enabler of digital transformation.
B
Explanation:
Enterprises are adopting AI and cloud analytics to improve efficiency and automation, making SAP BTP a key enabler of digital transformation.
Question #39
What is the primary role of SAP HANA Cloud in SAP BTP?
- A . Real-time data processing and storage
- B . Managing employee payroll and benefits
- C . Enforcing manual data entry in business processes
- D . Eliminating the need for cloud-based applications
Correct Answer: A
A
Explanation:
SAP HANA Cloud provides in-memory data processing, allowing businesses to store, analyze, and retrieve data in real time to support decision-making.
A
Explanation:
SAP HANA Cloud provides in-memory data processing, allowing businesses to store, analyze, and retrieve data in real time to support decision-making.
Question #40
Which of the following are core pillars of SAP BTP? (Choose two)
- A . AI and machine learning
- B . Customer relationship management
- C . Data management
- D . Payroll processing
Correct Answer: A, C
A, C
Explanation:
SAP BTP’s core pillars include AI/ML for intelligent process automation and data management to support enterprise analytics and decision-making.
A, C
Explanation:
SAP BTP’s core pillars include AI/ML for intelligent process automation and data management to support enterprise analytics and decision-making.