C-AIG-2412 無料問題集「SAP Certified Associate - SAP Generative AI Developer」

（A）To store vector representations of documents and search for relevant passages

（B）To generate responses based on retrieved documents and user queries

（C）To encode queries and documents into vector representations for comparison

（D）To evaluate the faithfulness and relevance of generated Answers

（A）Deployment templates for SAP AI Launchpad

（B）Pipeline containers to be used

（C）User scripts to manually execute pipeline steps

（D）Infrastructure resources such as CPUs or GPUs

（A）Centralized Al lifecycle management for all Al scenarios.

（B）Direct deployment of Al models to SAP HANA.

（C）Simplified model retraining and performance improvement.

（D）Integration with non-SAP platforms like Azure and AWS.

（A）Complete elimination of human oversight in content creation

（B）Inability to generate text in multiple languages

（C）Unlimited processing power usage without cost control

（D）Potential biases in generated content

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

（B）A rule-based expert system to analyze and generate grammatically correct sentences.

（C）A gradient boosted decision tree algorithm for predicting text.

（D）An Al model that specializes in processing, understanding, and generating human language.

（A）To ensure the model's response follows a desired structure or style

（B）To increase the faithfulness of the output

（C）To redirect the output to another software program

（D）To force the model to separate relevant and irrelevant output

（A）Chain-of-thought prompting

（B）Meta prompting

（C）One-shot prompting

（D）Few-shot prompting