Practice Free C_AIG_2412 Exam Online Questions
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note: There are 2 correct answers to this question.
- A . They ensure workload separation for different tenants or departments.
- B . They enhance pipeline execution speeds through workload distribution.
- C . They enable simultaneous orchestration of Kubernetes clusters.
- D . They provide isolation for datasets and Al artifacts.
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 . Pipeline containers to be used
- B . Infrastructure resources such as CPUs or GPUs
- C . User scripts to manually execute pipeline steps
- D . Deployment templates for SAP AI Launchpad
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.
- A . The model can be deployed in SAP HANA.
- B . The model’s accuracy can be optimized directly in SAP HANA.
- C . The model can be deployed for inferencing.
- D . The model can be registered in the hyperscaler object store.
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.
- A . Integration of Al services with business applications using a standardized API
- B . Continuous delivery and tenant isolation for scalability
- C . Orchestration of Al workflows such as model training and inference
- D . Management of SAP S/4HANA cloud infrastructure
- E . Monitoring and retraining models in SAP Al Core
Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question.
- A . It lowers barriers to adoption.
- B . It can replicate complex technical skills without training or quality control.
- C . It can run entire business operations without human intervention.
- D . It only requires natural language skills to use.
Which of the following is a benefit of using Retrieval Augmented Generation?
- A . It allows LLMs to access and utilize information beyond their initial training data.
- B . It enables LLMs to learn new languages without additional training.
- C . It eliminates the need for fine-tuning LLMs for specific tasks.
- D . It reduces the computational resources required for language modeling.
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
• 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. - B . 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 - C . 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
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.
- A . Al playground and chat
- B . Automatic model selection
- C . Develop and debug ABAP code
- D . Prompt editor and management
What is the primary function of the generative Al hub in SAP’s Al Foundation?
- A . To serve as an abstraction layer to access a range of foundation Al models
- B . To provide ready-to-use Al services for document processing
- C . To store embeddings of unstructured data for semantic data retrieval
- D . To manage the Al lifecycle efforts end-to-end
What are some advantages of using agents in training models? Note: There are 2 correct answers to this question.
- A . To guarantee accurate decision making in complex scenarios
- B . To improve the quality of results
- C . To streamline LLM workflows
- D . To eliminate the need for human oversight