SAP Certified Associate - SAP Generative AI Developer - C_AIG_2412 Exam Practice Test

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

B. To simplify the process of training the embedding model

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

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

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

B. Build custom Al solutions and extend SAP applications

C. Provide libraries for no-code development

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

A. Administration

B. Chat

C. Prompt Editor

D. Prompt management

A. An Al model that specializes in processing, understanding, and generating human language.

B. A gradient boosted decision tree algorithm for predicting text.

C. A rule-based expert system to analyze and generate grammatically correct sentences.

D. A database system optimized for storing large volumes of textual data.

A. To optimize hardware performance for Al computations

B. To craft inputs that guide Al systems in generating desired outputs

C. To replace human decision-making with automated processes

D. To develop new neural network architectures for Al models

A. Carbon footprint

B. Relevance

C. Speed

D. Faithfulness

A. They ensure workload separation for different tenants or departments.

B. They provide isolation for datasets and Al artifacts.

C. They enhance pipeline execution speeds through workload distribution.

D. They enable simultaneous orchestration of Kubernetes clusters.