最有效的C_AIG_2412考題資訊，提前為SAP Certified Associate - SAP Generative AI Developer C_AIG_2412考試做好準備

我們都很清楚 SAP C_AIG_2412 認證考試在IT行業中的地位是駐足輕重的地位，但關鍵的問題是能夠拿到SAP C_AIG_2412的認證證書不是那麼簡單的。我們很清楚地知道網上缺乏有高品質的準確性高的相關考試資料。NewDumps的考試練習題和答案可以為一切參加IT行業相關認證考試的人提供一切所急需的資料。它能時時刻刻地提供你們想要的資料，購買我們所有的資料能保證你通過你的第一次SAP C_AIG_2412認證考試。

NewDumps SAP的C_AIG_2412的考試資料是特別設計，它是一項由專業的IT精英團隊專門為你們量身打造的考題資料，針對性特別強。通過了認證你在IT行業將體現國際價值。有許多轉儲和培訓材料的供應商，將保證你通過 SAP的C_AIG_2412的考試使用他們的產品，而NewDumps與所有的網站相比，這已經成為歷史了，我們用事實說話，讓見證奇跡的時刻來證明我們所說的每一句話。

>> C_AIG_2412考題資訊 <<

SAP C_AIG_2412 考試大綱：

主題	簡介
主題 1	SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.
主題 2	Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.
主題 3	SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.
主題 4	SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

最新的 SAP Certified Associate C_AIG_2412 免費考試真題 (Q11-Q16):

問題 #11
Which technique is used to supply domain-specific knowledge to an LLM?

A. Domain-adaptation training
B. Prompt template expansion
C. Retrieval-Augmented Generation
D. Fine-tuning the model on general data

答案：C

解題說明：
Retrieval-Augmented Generation (RAG) is a technique that enhances Large Language Models (LLMs) by integrating external domain-specific knowledge, enabling more accurate and contextually relevant outputs.
1. Understanding Retrieval-Augmented Generation (RAG):
* Definition:RAG combines the generative capabilities of LLMs with retrieval mechanisms that access external knowledge bases or documents. This integration allows the model to incorporate up-to-date and domain-specific information into its responses.
* Mechanism:When presented with a query, the RAG system retrieves pertinent information from external sources and uses this data to inform and generate a more accurate and contextually appropriate response.
2. Application in Supplying Domain-Specific Knowledge:
* Domain Adaptation:By leveraging RAG, LLMs can access specialized information without the need for extensive retraining or fine-tuning. This approach is particularly beneficial for domains with rapidly evolving information or where incorporating proprietary data is essential.
* Efficiency:RAG enables models to provide informed responses by referencing external data, reducing the necessity for large-scale domain-specific training datasets and thereby conserving computational resources.
3. Advantages of Using RAG:
* Up-to-Date Information:Since RAG systems can query current data sources, they are capable of providing the most recent information available, which is crucial in dynamic fields.
* Enhanced Accuracy:Incorporating external knowledge allows the model to produce more precise and contextually relevant outputs, especially in specialized domains.

問題 #12
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.

A. Wide availability
B. Significant hardware cost savings
C. Availability of skilled developers
D. Ease of use

答案：A,D

問題 #13
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.

A. Foundation models
B. Robotic process automation
C. Al models that generate new content based on training data
D. Rule-based algorithms

答案：A,C

問題 #14
Which of the following is unique about SAP's approach to Al?

A. Focusing Al solely on customer support services.
B. Offering Al capabilities in their future products as of 2025.
C. Utilizing Al mainly for marketing purposes.
D. SAP's deep integration of Al with business processes and analytics.

答案：D

問題 #15
What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question.

A. Deployment templates for SAP AI Launchpad
B. Pipeline containers to be used
C. User scripts to manually execute pipeline steps
D. Infrastructure resources such as CPUs or GPUs

答案：B,D

問題 #16
......

NewDumps擁有SAP C_AIG_2412 認證考試的特殊培訓工具，能使你不用花費大量的時間和金錢就可以短時間獲得很多IT技術知識來提升你的技術，很快就能在IT行業中證明你的專業知識和技術。NewDumps的培訓課程是NewDumps的專家團隊利用自己的知識和經驗為SAP C_AIG_2412 認證考試而研究出來的。

最新C_AIG_2412題庫資源: https://www.newdumpspdf.com/C_AIG_2412-exam-new-dumps.html

Kurt Walsh Kurt Walsh

Biography

最有效的C_AIG_2412考題資訊，提前為SAP Certified Associate - SAP Generative AI Developer C_AIG_2412考試做好準備

最新C_AIG_2412題庫資源 & C_AIG_2412下載

SAP C_AIG_2412 考試大綱：

最新的 SAP Certified Associate C_AIG_2412 免費考試真題 (Q11-Q16):