對于C-AIG-2412認證是評估職員在公司所具備的能力和知識，而如何獲得SAP C-AIG-2412認證是大多數考生面臨的挑戰性的問題。現在的考試如C-AIG-2412在經常的跟新，準備通過這個考試是一項艱巨的任務，SAP C-AIG-2412考古題是一個能使您一次性通過該考試的題庫資料。一旦您通過考試，您將獲得不錯的工作機會，所以，選擇C-AIG-2412題庫就是選擇成功，我們將保證您百分之百通過考試。
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NewDumps 就是一個可以滿足很多參加 SAP 的 C-AIG-2412 認證考試的IT人士的需求的網站，但是要想通過 C-AIG-2412 考試還需要大家認真理解。即使是SAP 的 C-AIG-2412 擬真試題和真實考試中的差不多，建議大家考試的時候，還是要把題看清楚，不能完全按照 C-AIG-2412 擬真試題中的命令去做。要靈活運用，積極思考，不能死搬硬套。通過這個考試是需要豐富的知識和經驗的，而積累豐富的知識和經驗是需要時間的。
問題 #47
Why is generative Al gaining significant attention and investment in the current business landscape? Note:
There are 2 correct answers to this question.
答案：A,B
解題說明：
Generative AI is attracting significant attention and investment in the current business landscape due to several compelling factors:
1. Lowering Barriers to Adoption:
* Accessibility of Tools:The proliferation of user-friendly generative AI tools has made advanced AI capabilities accessible to a broader audience, including those without specialized technical expertise.
* Integration with Existing Systems:Generative AI solutions, such as SAP's Joule, are designed to integrate seamlessly with existing business systems, reducing the complexity and cost associated with adoption.
2. Natural Language Interaction:
* Ease of Use:Generative AI models are capable of understanding and processing natural language inputs, allowing users to interact with AI systems using everyday language. This reduces the need for specialized training and enables more intuitive user experiences.
* Enhanced User Engagement:The ability to communicate with AI systems in natural language fosters greater user engagement and facilitates the integration of AI into daily business operations.
問題 #48
What are some features of Joule?
Note: There are 3 correct answers to this question.
答案：C,D,E
問題 #49
What can be done once the training of a machine learning model has been completed in SAP AICore? Note:
There are 2 correct answers to this question.
答案：B,C
解題說明：
Once the training of a machine learning model has been completed in SAP AI Core, several post-training actions can be undertaken to operationalize and manage the model effectively.
1. Deploying the Model for Inferencing:
* Deployment Process:After training, the model can be deployed as a service to handle inference requests. This involves setting up a model server that exposes an endpoint for applications to send data and receive predictions.
* Integration:The deployed model can be integrated into business applications, enabling real-time decision-making based on the model's predictions.
問題 #50
What is one primary benefit of using LLMs in business applications?
答案：D
解題說明：
The primary benefit of using LLMs in business applications is their ability to enhance automation and scalability, making processes more efficient and adaptable to large-scale needs. Option A is incorrect because LLMs augment, rather than fully replace, human decision-making-human oversight remains critical. Option B is false as LLMs do not inherently eliminate privacy concerns; data privacy must still be managed (e.g., through SAP's privacy-preserving techniques like differential privacy). Option C is inaccurate since LLMs require ongoing maintenance, updates, and monitoring to remain effective. Option D is correct because LLMs automate tasks like document processing, content generation, and customer interaction, while their scalability allows businesses to handle increasing data volumes and user demands efficiently, as seen in SAP's integration with tools like Joule and SAP Business AI.
問題 #51
What is the primary function of the generative Al hub in SAP's Al Foundation?
答案：A
問題 #52
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