1Z0-184-25 無料問題集「Oracle AI Vector Search Professional」

（A）It allows users to train their own specialized LLMs directly within the Oracle Database environment using their internal data, thereby reducing reliance on external AI providers

（B）It empowers LLMs to interact with private enterprise data stored within the database, leading to more context-aware and precise responses to user queries

（C）It primarily aims to optimize the performance and efficiency of LLMs by using advanced data retrieval techniques, thus minimizing response times and reducing computational overhead

（D）It enables Large Language Models (LLMs) to access and process real-time data streams from diverse sources to generate the most up-to-date insights

（A）DBMS_GENAI

（B）DBMS_ML

（C）DBMS_VECTOR_CHAIN

（D）DBMS_AI

（A）The number of centroids decreases

（B）More partitions are probed, improving accuracy, but also increasing query latency

（C）Accuracy decreases

（D）Index creation time is reduced

（A）To serialize vectors into a string

（B）To generate a single vector embedding for data

（C）To calculate vector distances

（D）To calculate vector dimensions

（A）L1_DISTANCE

（B）L2_DISTANCE

（C）COSINE_DISTANCE

（D）HAMMING_DISTANCE

（A）EFCONSTRUCTION

（B）VECTOR_MEMORY_SIZE

（C）TARGET_ACCURACY

（D）NEIGHBOURS