Explanation: The ALTER TABLE statement allows renaming a column without affecting stored data. Dropping a column deletes existing data, truncation resets the table, and MERGE is used for upserts, not schema changes. Which of the following distance metrics is commonly used in Oracle AI Vector Search to measure vector similarity?
How does Oracle AI Vector Search optimize query performance in multi -vector search?
Explanation: TensorFlow and PyTorch provide pre-trained deep learning models like ResNet, EfficientNet, and CLIP, which generate high -quality image embeddings. OpenCV is primarily used for image processing rather than embedding generation. Pandas is irrelevant for vector creation, and Hadoop is a storage solution rather than an embedding tool. What is a fundamental reason for using fixed -length vectors in AI -driven search systems?
What is the primary advantage of using Approximate Nearest Neighbor (ANN) search over Exact Nearest Neighbor (NN) search in Oracle AI Vector Search?
Post-retrieval processing ensures responses remain coherent by aligning retrieved content. Relational schemas are inefficient for vector search, query transformations do not enhance coherence, and deterministic preprocessing reduces flexibility. Which technique improves the speed of inserting large vector datasets?
➢ TOTAL QUESTIONS: 360 Which Oracle feature enhances performance when generating vector embeddings at scale?
