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SAPのC_AIG_2412認定試験に楽に受かるコツが何だろう

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SAP C_AIG_2412 認定試験の出題範囲：

トピック
出題範囲

トピック 1

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.

トピック 2

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.

トピック 3

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.

トピック 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.

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C_AIG_2412日本語版問題解説｜簡単にSAP Certified Associate - SAP Generative AI Developerに合格する

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SAP Certified Associate - SAP Generative AI Developer 認定 C_AIG_2412 試験問題 (Q18-Q23):

質問 # 18
Which statement best describes the Chain-of-Thought (COT) prompting technique?

A. Connecting related concepts by having the LLM generate chains of ideas.
B. Writing a series of connected prompts creating a chain of related information.
C. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
D. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.

正解：C

解説：
Chain-of-Thought (CoT) prompting is a technique that involves concatenating multiple related prompts to guide a language model through a series of reasoning steps, leading to a final conclusion.
1. Structure of CoT Prompting:
* Sequential Reasoning:By breaking down a complex problem into a sequence of intermediate prompts, the model addresses each step methodically, enhancing its problem-solving capabilities.
* Logical Progression:Each prompt builds upon the previous one, ensuring a coherent flow of information that mirrors human logical reasoning.
2. Advantages of CoT Prompting:
* Enhanced Comprehension:This structured approach helps the model understand and process intricate tasks by focusing on one aspect at a time.
* Improved Accuracy:By guiding the model through detailed reasoning steps, CoT prompting reduces the likelihood of errors in the final output.

質問 # 19
What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.

A. Prompt editor and management
B. Develop and debug ABAP code
C. Automatic model selection
D. Al playground and chat

正解：A、D

質問 # 20
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.

A. Al runtimes and lifecycle management
B. Joule integration in SAP SuccessFactors
C. Open source Al model repository
D. Ready-to-use Al services

正解：A、D

解説：
SAP AI Foundation is an all-in-one AI toolkit that provides developers with the necessary tools to build AI- powered extensions and applications on SAP Business Technology Platform (SAP BTP).
1. Ready-to-Use AI Services:
* Pre-Built AI Capabilities:AI Foundation offers a suite of ready-to-use AI services, enabling developers to integrate AI functionalities into their applications without the need to build models from scratch. These services include capabilities such as document information extraction, translation, and personalized recommendations.
2. AI Runtimes and Lifecycle Management:
* Comprehensive AI Management:AI Foundation provides tools for managing AI runtimes and the entire AI lifecycle, including model deployment, monitoring, and maintenance. This ensures that AI models operate efficiently and remain up-to-date, facilitating seamless integration into business processes.
3. Integration with SAP BTP:
* Unified Platform:By integrating with SAP BTP, AI Foundation allows for the development of AI solutions that are grounded in business data and context, ensuring relevance and reliability in AI-driven applications.

質問 # 21
What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?

A. To improve the efficiency of encoding queries into vector representations
B. To enable the matching of different relevant passages to user queries
C. To reduce the storage space required for the vector database
D. To simplify the process of training the embedding model

正解：B

質問 # 22
What does SAP recommend you do before you start training a machine learning model in SAP AI Core? Note: There are 3 correct answers to this question.

A. Configure the training pipeline using templates.
B. Define the required infrastructure resources for training.
C. Configure the model deployment in SAP Al Launchpad.
D. Register the input dataset in SAP AI Core.
E. Perform manual data integration with SAP HANA.

正解：A、B、D

質問 # 23
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長い間C_AIG_2412認定を希望しているかもしれませんが、SAP勉強する時間や良い方法がありません。勉強はつまらないと思っていたのかもしれません。 C_AIG_2412の学習教材があなたの心を変えます。当社の製品を使用すると、すぐに勉強の幸せを感じるでしょう。熱心なXhs1991専門家のおかげで、C_AIG_2412試験に合格するためのすばらしい学習ツールが考案されました。最初にデモを試してみると、勉強をやめられないことがわかります。 C_AIG_2412学習教材を使用すると、自分自身に挑戦して、もっと知りたいと思うでしょう。

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