A. Management of SAP S/4HANA cloud infrastructure
B. Monitoring and retraining models in SAP Al Core
C. Orchestration of Al workflows such as model training and inference
D. Continuous delivery and tenant isolation for scalability
E. Integration of Al services with business applications using a standardized API
A. Create a deployment for orchestration
B. Modify the underlying Al models
C. Create an instance of an Al model
D. Get an auth token for orchestration
A. The Configuration tab within ML Operations in SAP AI Launchpad
B. The Models tab in Prompt Editor
C. The Configuration tab of the SAP BTP cockpit
D. The Orchestration tab in SAP AI Launchpad
A. Prioritizing the development of proprietary LLMs with no integration to existing systems
B. Limiting LLM usage to non-business applications only
C. Ensuring ethical AI practices and seamless business integration
D. Focusing solely on reducing the computational cost of training LLMs
A. Customize SAP AI Launchpad
B. Create chat responses and embeddings
C. Configure SAP BTP credentials
D. Interact with LLMs
A. Complete elimination of human oversight in content creation
B. Potential biases in generated content
C. Inability to generate text in multiple languages
D. Unlimited processing power usage without cost control
A. They enhance pipeline execution speeds through workload distribution.
B. They enable simultaneous orchestration of Kubernetes clusters.
C. They ensure workload separation for different tenants or departments.
D. They provide isolation for datasets and Al artifacts.
