최신SAP Certified Associate - SAP Generative AI Developer - C-AIG-2412무료샘플문제

A. Automatic human emotion recognition

B. Personalized recommendations based on Al algorithms

C. Al-powered forecasting and predictions

D. Face detection and face recognition

E. Intelligent business document processing

A. To simplify the process of training the embedding model

B. To enable the matching of different relevant passages to user queries

C. To improve the efficiency of encoding queries into vector representations

D. To reduce the storage space required for the vector database

A. Provide libraries for no-code development

B. Build custom Al solutions and extend SAP applications

C. Send your data to various LLM providers for training feedback

D. Accelerate Al development with flexible access to a broad range of models

A. Limiting LLM usage to non-business applications only

B. Prioritizing the development of proprietary LLMs with no integration to existing systems

C. Ensuring ethical AI practices and seamless business integration

D. Focusing solely on reducing the computational cost of training LLMs

A. To eliminate the need for human oversight

B. To improve the quality of results

C. To guarantee accurate decision making in complex scenarios

D. To streamline LLM workflows

A. It can replicate complex technical skills without training or quality control.

B. It can run entire business operations without human intervention.

C. It only requires natural language skills to use.

D. It lowers barriers to adoption.

A. Provide the storage secret to access the dataset.

B. Store the dataset in a hyperscaler object store.

C. Grant access rights to the SAP BTP cockpit.

D. Store the dataset in the SAP HANA Vector Engine.