合格目指せC_AIG_2412試験最新のC_AIG_2412試験問題集PDF 2025年更新
C_AIG_2412試験問題集、365日更新無料サンプル
SAP C_AIG_2412 認定試験の出題範囲：
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質問 # 12
What does the Prompt Management feature of the SAP AI launchpad allow users to do?
- A. Provide personalized user interactions
- B. Create and edit prompts
- C. Interact with models through a conversational interface
- D. Access and manage saved prompts and their versions
正解：B、D
質問 # 13
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. Adopt best practice pricing strategies, such as outcome-based pricing
- B. Avoid subscription-based pricing models
- C. Weigh the cost of using advanced models against the expected return on investment
- D. Use pricing models that have fixed rates irrespective of the usage patterns
正解：A、C
質問 # 14
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.
- A. Carbon footprint
- B. Relevance
- C. Faithfulness
- D. Speed
正解：B、C
質問 # 15
Where can you configure language models in generative Al hub?
- A. The Orchestration tab in SAP AI Launchpad
- B. The Models tab in Prompt Editor
- C. The Configuration tab within ML Operations in SAP AI Launchpad
- D. The Configuration tab of the SAP BTP cockpit
正解：C
質問 # 16
How does SAP ensure the enterprise-readiness of its Al solutions?
- A. By implementing rigorous product standards for Al capabilities
- B. By ensuring that Al models make bias-free decisions without human input
- C. By using generic Al models without business context complying with Al ethics standards
正解：A
質問 # 17
Match the components of a Retrieval Augmented Generation architecture to the diagram.
正解：
解説：
質問 # 18
What is a Large Language Model (LLM)?
- A. A rule-based expert system to analyze and generate grammatically correct sentences.
- B. A gradient boosted decision tree algorithm for predicting text.
- C. An Al model that specializes in processing, understanding, and generating human language.
- D. A database system optimized for storing large volumes of textual data.
正解：C
質問 # 19
Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?
- A. Meta prompting
- B. Few-shot prompting
- C. Chain-of-thought prompting
- D. One-shot prompting
正解：A
質問 # 20
Match the components of a Retrieval Augmented Generation architecture to the diagram.
正解：
解説：
質問 # 21
You want to use the orchestration service through SAP's generative-Al-hub-sdk.
What does the following code do?
from gen_ai_hub.orchestration.models.11m import LLM
11m =
LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})
- A. Create the Orchestration Configuration
- B. Run the Orchestration Request
- C. Define the LLM
- D. Define the Template and Default Input Values
正解：C
質問 # 22
What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.
- A. Develop and debug ABAP code
- B. Al playground and chat
- C. Automatic model selection
- D. Prompt editor and management
正解：B、D
質問 # 23
Which of the following steps is NOT a requirement to use the Orchestration service?
- A. Create an instance of an Al model
- B. Modify the underlying Al models
- C. Create a deployment for orchestration
- D. Get an auth token for orchestration
正解：B
質問 # 24
What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.
- A. It ensures relevant, reliable, and responsible business Al.
- B. It only supports traditional machine learning models.
- C. It provides instant access to a wide range of large language models (LLMs).
- D. It operates independently of SAP's partners and ecosystem.
正解：A、C
質問 # 25
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system?
Note: There are 2 correct answers to this question.
- A. Carbon footprint
- B. Relevance
- C. Faithfulness
- D. Speed
正解：B、C
質問 # 26
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?
- A. Create a basic prompt in SAP AI Launchpad
* Enhance the prompts
* Create a baseline evaluation method for the simple prompt
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk - B. Create a basic prompt in SAP AI Launchpad
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts
* Evaluate various models for the problem using generative-ai-hub-sdk - C. Create a basic prompt in SAP AI Launchpad
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts.
正解：A
質問 # 27
How does SAP deal with vulnerability risks created by generative Al?
Note: There are 2 correct answers to this question.
- A. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
- B. By focusing on technological advancement only.
- C. By relying on external vendors to manage security threats.
- D. By implementing responsible Al use guidelines and strong product security standards.
正解：A、D
質問 # 28
Which statement best describes the Chain-of-Thought (COT) prompting technique?
- A. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
- B. Connecting related concepts by having the LLM generate chains of ideas.
- C. Writing a series of connected prompts creating a chain of related information.
- D. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
正解：A
質問 # 29
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
- A. Availability of skilled developers
- B. Wide availability
- C. Significant hardware cost savings
- D. Ease of use
正解：B、D
質問 # 30
Which of the following are functionalities provided by the generative-Al-hub-SDK ?
Note: There are 2 correct answers to this question.
- A. Customize SAP AI Launchpad
- B. Configure SAP BTP credentials
- C. Create chat responses and embeddings
- D. Interact with LLMs
正解：C、D
質問 # 31
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.
- A. Foundation models
- B. Al models that generate new content based on training data
- C. Robotic process automation
- D. Rule-based algorithms
正解：A、B
質問 # 32
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.
- A. The SAP HANA database for model storage
- B. Executables that define the training process
- C. Automated deployment to Kubernetes clusters
- D. Input datasets stored in a hyperscaler object store
正解：B、D
質問 # 33
Which of the following statements accurately describe the RAG process?
Note: There are 2 correct answers to this question.
- A. The LLM directly answers the user's question without accessing external information.
- B. The retrieved content is combined with the LLM's capabilities to generate a response.
- C. The user's question is used to search a knowledge base or a set of documents.
- D. The embedding model stores the generated answers for future reference.
正解：B、C
質問 # 34
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