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[General] C_AIG_2412 Exam Objectives - C_AIG_2412 Quiz

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【General】 C_AIG_2412 Exam Objectives - C_AIG_2412 Quiz

Posted at 16 hour before      View：4 | Replies：1        Print      Only Author   [Copy Link] 1#
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SAP C_AIG_2412 Exam Syllabus Topics:
TopicDetails
Topic 1
  • SAP's Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers SAP’s Generative AI Hub, which acts as the central layer for designing and managing generative AI solutions. The exam tests knowledge of building, deploying, and connecting AI models to business scenarios through the Hub. Emphasis is placed on leveraging the Hub to streamline workflows and ensure scalable solutions that align with organizational needs.
Topic 2
  • SAP AI Core: This section of the exam measures the skills of AI Developers and covers the fundamental components of SAP AI Core. Candidates are assessed on their ability to work with the core services that allow machine learning models to be deployed and managed within SAP environments. The focus is on understanding how AI Core fits into SAP’s ecosystem and ensures smooth integration with enterprise applications.
Topic 3
  • Advanced AI Techniques with SAP’s Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers advanced techniques available through SAP’s Generative AI Hub. Candidates are assessed on their ability to design, optimize, and scale generative AI solutions that go beyond basic implementations. The focus includes applying sophisticated strategies to integrate advanced models, manage performance, and align AI-driven outcomes with complex enterprise goals.
Topic 4
  • Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the practical use of large language models in SAP environments. Candidates are expected to understand how LLMs can be applied to automate tasks, enhance decision-making, and improve user interaction within SAP systems. The exam evaluates knowledge of handling model selection, fine-tuning, and adapting LLMs to specific business cases.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q47-Q52):NEW QUESTION # 47
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
  • A. Ease of use
  • B. Significant hardware cost savings
  • C. Availability of skilled developers
  • D. Wide availability
Answer: A,D

NEW QUESTION # 48
What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.
  • A. Personalized recommendations based on Al algorithms
  • B. Al-powered forecasting and predictions
  • C. Intelligent business document processing
  • D. Automatic human emotion recognition
  • E. Face detection and face recognition
Answer: A,B,C
Explanation:
SAP Business AI offers a suite of capabilities designed to enhance various business processes through intelligent automation and data-driven insights.
1. Intelligent Business Document Processing:
* Document Information Extraction:SAP Business AI includes services that automate the extraction of relevant information from business documents, such as invoices and purchase orders. This automation reduces manual data entry, minimizes errors, and accelerates processing times.
2. AI-Powered Forecasting and Predictions:
* Predictive Analytics:SAP Business AI leverages machine learning models to analyze historical data and predict future trends. This capability assists businesses in demand forecasting, financial planning, and inventory management, enabling proactive decision-making.
3. Personalized Recommendations Based on AI Algorithms:
* Personalized Recommendation Services:By analyzing user behavior and preferences, SAP Business AI provides personalized product or service recommendations. This personalization enhances customer experience and can lead to increased sales and customer satisfaction.

NEW QUESTION # 49
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.
  • A. Automating prompt testing across various scenarios
  • B. Supporting low code evaluations using graphical user interface
  • C. Providing metrics to quantitatively assess response quality
  • D. Maintaining data privacy by using data masking techniques
  • E. Creating custom evaluators that meet specific business needs
Answer: A,C,E

NEW QUESTION # 50
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.
  • A. Weigh the cost of using advanced models against the expected return on investment
  • B. Adopt best practice pricing strategies, such as outcome-based pricing
  • C. Use pricing models that have fixed rates irrespective of the usage patterns
  • D. Avoid subscription-based pricing models
Answer: A,B
Explanation:
When evaluating pricing and rate information for model usage within SAP's Generative AI Hub, SAP recommends:
1. Adopting Best Practice Pricing Strategies:
* Outcome-Based Pricing:Implementing pricing strategies that align costs with achieved outcomes ensures that expenditures are directly tied to the value derived from AI models.
2. Assessing Cost Against Expected Return on Investment (ROI):
* Cost-Benefit Analysis:Carefully evaluating the expenses associated with advanced models in relation to the anticipated ROI helps in making informed decisions about model selection and usage.
Conclusion:
By adopting best practice pricing strategies and assessing costs against expected ROI, businesses can make informed decisions regarding model usage within SAP's Generative AI Hub, ensuring cost-effectiveness and value alignment.

NEW QUESTION # 51
What is a Large Language Model (LLM)?
  • A. An Al model that specializes in processing, understanding, and generating human language.
  • B. A gradient boosted decision tree algorithm for predicting text.
  • C. A database system optimized for storing large volumes of textual data.
  • D. A rule-based expert system to analyze and generate grammatically correct sentences.
Answer: A
Explanation:
A Large Language Model (LLM) is an advanced AI model designed to handle various natural language processing tasks.
1. Definition and Purpose:
* ProcessingLMs analyze human language to understand syntax, semantics, and context.
* Understanding:They interpret the meaning behind text, enabling comprehension of nuanced language elements.
* GeneratingLMs can produce coherent and contextually appropriate text, facilitating tasks like content creation and translation.
2. Characteristics of LLMs:
* Scale:These models are trained on vast datasets, encompassing billions of words, which enhances their language capabilities.
* ArchitectureLMs typically utilize complex neural network architectures, such as transformers, to manage and process language data effectively.
3. Applications:
* Content Generation:Creating articles, summaries, and reports.
* Language Translation:Converting text from one language to another with high accuracy.
* Conversational Agentsowering chatbots and virtual assistants to interact with users naturally.

NEW QUESTION # 52
......
These SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) practice test covers all the topics of the C_AIG_2412 test and includes real C_AIG_2412 questions. If you are attempting the C_AIG_2412 examination for the first time, you will get an exact idea about the C_AIG_2412 exam and how you can clear it with flying colors. These SAP C_AIG_2412 Questions are available in desktop C_AIG_2412 practice exam software, web-based C_AIG_2412 practice test, and SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) dumps pdf format.
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Posted at 10 hour before        Only Author  2#
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