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C-AIG-2412考題資訊 - C-AIG-2412指南
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最新的 SAP Certified Associate C-AIG-2412 免費考試真題 (Q37-Q42):
問題 #37
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?
- A. Train new models using SAP and non-SAP data
- B. Enhance the accuracy and relevance of Al applications that use SAP's data assets
- C. Get more training data for new models
- D. Design new product interfaces for SAP applications
答案:B
解題說明:
Leveraging different models from multiple providers through SAP's Generative AI Hub offers significant advantages:
1. Access to a Diverse Range of Large Language Models (LLMs):
* Integration with Multiple Providers:SAP's Generative AI Hub provides instant access to a broad spectrum of LLMs from various providers, such as GPT-4 by Azure OpenAI andopen-source models like Falcon-40b.
2. Enhancing Accuracy and Relevance:
* Model Selection Flexibility:By offering a variety of models, developers can select the most suitable one for their specific use cases, thereby enhancing the accuracy and relevance of AI applications that utilize SAP's data assets.
3. Seamless Orchestration and Integration:
* Orchestration Capabilities:The Generative AI Hub enables the orchestration of multiple models, allowing for seamless integration into SAP solutions like SAP S/4HANA and SAP SuccessFactors.
問題 #38
Which of the following steps is NOT a requirement to use the Orchestration service?
- A. Get an auth token for orchestration
- B. Create an instance of an Al model
- C. Create a deployment for orchestration
- D. Modify the underlying Al models
答案:D
解題說明:
To utilize the Orchestration service in SAP's Generative AI Hub, several steps are required; however, modifying the underlying AI models is not among them:
1. Required Steps:
* Get an Auth Token for Orchestration:Obtain authentication credentials to access the orchestration service.
* Create an Instance of an AI Model:Set up an instance of the desired AI model to be used within the orchestration pipeline.
* Create a Deployment for Orchestration:Deploy the configured AI model instance to the orchestration service, enabling it for processing requests.
2. Not Required:
* Modify the Underlying AI Models:The orchestration service allows users to utilize pre-existing AI models without the need to alter their foundational architecture or training.
問題 #39
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.
- A. Integration with non-SAP platforms like Azure and AWS.
- B. Centralized Al lifecycle management for all Al scenarios.
- C. Direct deployment of Al models to SAP HANA.
- D. Simplified model retraining and performance improvement.
答案:B,D
解題說明:
SAP AI Launchpad offers several benefits that enhance the development, deployment, and management of AI models within an organization.
1. Centralized AI Lifecycle Management for All AI Scenarios:
* Unified Platform:SAP AI Launchpad provides a centralized platform to manage the entire AI lifecycle, including model development, training, deployment, monitoring, and maintenance.
* Efficiency:This centralized approach streamlines workflows, reduces complexity, and ensures consistency across various AI projects and scenarios.
問題 #40
What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.
- A. To sanitize model outputs
- B. To customize outputs for specific types of inputs
- C. To quickly create iterations on a new use case
- D. To introduce new knowledge to a model in a resource-efficient way
答案:B,D
問題 #41
What is a Large Language Model (LLM)?
- A. A gradient boosted decision tree algorithm for predicting text.
- B. A database system optimized for storing large volumes of textual data.
- C. An Al model that specializes in processing, understanding, and generating human language.
- D. A rule-based expert system to analyze and generate grammatically correct sentences.
答案:C
問題 #42
......
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