C-BCBAI-2502 LATEST STUDY MATERIALS - VALID C-BCBAI-2502 TEST SYLLABUS

C-BCBAI-2502 Latest Study Materials - Valid C-BCBAI-2502 Test Syllabus

C-BCBAI-2502 Latest Study Materials - Valid C-BCBAI-2502 Test Syllabus

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SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which SAP solution helps businesses calculate and report the carbon footprint of their products?
Please choose the correct answer.
Response:

  • A. SAP BusinessObjects Financial Consolidation
  • B. SAP Sales and Distribution
  • C. SAP Cloud Platform Integration
  • D. SAP Product Footprint Management

Answer: D


NEW QUESTION # 16
Which component of SAP AI is responsible for automating routine business tasks?
Please choose the correct answer.
Response:

  • A. SAP AI Core
  • B. SAP Intelligent RPA
  • C. SAP Conversational AI
  • D. SAP S/4HANA Cloud

Answer: B


NEW QUESTION # 17
Which AI capability is commonly used in SAP Business AI to enhance customer service? Please choose the correct answer.

  • A. Natural Language Processing (NLP)
  • B. AI-driven payroll automation
  • C. Blockchain technology
  • D. Predictive maintenance

Answer: A

Explanation:
Natural Language Processing (NLP) is the primary AI capability used in SAP Business AI to enhance customer service, enabling automated and personalized interactions. The correct answer is Natural Language Processing (NLP), as it is explicitly documented as a core capability for customer service.
SAP documentation states: "SAP Conversational AI, powered by Joule, leverages Natural Language Processing (NLP) to enhance customer service by enabling chatbots to understand and respond to customer inquiries in natural language." NLP supports "proactively finding answers to customer questions" and
"delivering personalized responses based on customer behavior and history," as seen in SAP Sales Cloud and SAP Service Cloud. For example, Joule's NLP capabilities automate customer support, improve response times, and enhance engagement, making it a cornerstone of SAP's customer experience solutions.
The incorrect options are not relevant to customer service. Predictive maintenance is used in manufacturing, not customer service. Blockchain technology focuses on secure transactions, not customer interactions. AI- driven payroll automation is an HR function, not related to customer service. SAP Conversational AI's reliance on NLP, as evidenced by its integration with SAP Customer Experience, confirms its role in enhancing customer service.


NEW QUESTION # 18
Which SAP AI tool provides businesses with chatbots for automated customer interactions?
Please choose the correct answer.
Response:

  • A. SAP Conversational AI
  • B. SAP Intelligent RPA
  • C. SAP Cloud ERP AI
  • D. SAP Business AI Core

Answer: A


NEW QUESTION # 19
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-powered production scheduling
  • C. Automated quality control
  • D. Handwritten production reports
  • E. AI-driven predictive maintenance

Answer: B,C,E

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 # 20
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