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素敵なC-AIG-2412認定試験試験-試験の準備方法-一番優秀なC-AIG-2412復習内容
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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 | - 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.
| | トピック 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.
| | トピック 3 | - 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.
| | トピック 4 | - 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.
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SAP Certified Associate - SAP Generative AI Developer 認定 C-AIG-2412 試験問題 (Q42-Q47):質問 # 42
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?
- A. Design new product interfaces for SAP applications
- B. Train new models using SAP and non-SAP data
- C. Enhance the accuracy and relevance of Al applications that use SAP's data assets
- D. Get more training data for new models
正解:C
質問 # 43
Which of the following steps must be performed to deploy LLMs in the generative Al hub?
- A. Run the booster
*Create service keys
*Select the executable ID - B. Check for foundation model scenario
*Create a deployment
*Configuring entitlements - C. Provision SAP AI Core
*Check for foundation model scenario
*Create a configuration
*Create a deployment - D. Provision SAP AI
*Core Create a configuration
*Run the booster
正解:C
解説:
Deploying Large Language Models (LLMs) in SAP's Generative AI Hub involves a structured process:
1. Provision SAP AI Core:
* Setup:Ensure that SAP AI Core is provisioned in your SAP Business Technology Platform (BTP) account to manage AI workloads.
2. Check for Foundation Model Scenario:
* Validation:Verify the availability of the foundation model scenario within SAP AI Core to confirm that the necessary resources and configurations are in place for deploying LLMs.
3. Create a Configuration:
* Configuration Setup efine the parameters and settings required for the LLM deployment, including model specifications and resource allocations.
4. Create a Deployment:
* Deployment Execution:Initiate the deployment process within SAP AI Core, making the LLM available for integration and use within your applications.
質問 # 44
You want to download a json output for a prompt and the response.
Which of the following interfaces can you use in SAP's generative Al hub in SAP AI Launchpad?
- A. Prompt management
- B. Chat
- C. Administration
- D. Prompt Editor
正解:A
質問 # 45
Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.
- A. Create chat responses and embeddings
- B. Customize SAP AI Launchpad
- C. Configure SAP BTP credentials
- D. Interact with LLMs
正解:A、D
質問 # 46
Which of the following is a principle of effective prompt engineering?
- A. Keep prompts as short as possible to avoid confusion.
- B. Write vague and open-ended instructions to encourage creativity.
- C. Use precise language and providing detailed context in prompts.
- D. Combine multiple complex tasks into a single prompt.
正解:C
解説:
Effective prompt engineering is crucial for guiding AI models to produce accurate and relevant outputs.
1. Importance of Precision and Context:
* Clarity:Using precise language in prompts minimizes ambiguity, ensuring the AI model comprehends the exact requirements.
* Detailed Context roviding comprehensive context helps the model understand the background and nuances of the task, leading to more accurate and tailored responses.
2. Best Practices in Prompt Engineering:
* Specificity:Clearly define the desired outcome, including any constraints or specific formats required.
* Instruction Inclusion:Incorporate explicit instructions within the prompt to guide the model's behavior effectively.
* Avoiding Ambiguity:Steer clear of vague or open-ended language that could lead to varied interpretations.
3. Benefits of Effective Prompt Engineering:
* Enhanced Output Quality:Well-crafted prompts lead to responses that closely align with user expectations.
* Efficiency:Reduces the need for iterative refinements, saving time and computational resources.
質問 # 47
......
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