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Exam 1z0-1157-26 Topic 1 Question 26 Discussion

Actual exam question for Oracle's 1z0-1157-26 exam
Question #: 26
Topic #: 1
What is the default distance metric for VECTOR_DISTANCE in Oracle for non-BINARY vectors?

Suggested Answer: C Vote an answer

Oracle AI Vector Search defines VECTOR_DISTANCE as the primary SQL function for calculating the distance between two vectors. When the function is called without explicitly specifying a distance metric, Oracle specifies COSINE as the default metric for ordinary, non-BINARY vectors. Cosine distance measures the angular relationship between vector representations and is widely used for semantic similarity because embeddings with similar meaning tend to point in similar directions in vector space. Oracle treats BINARY vectors differently: their default metric is HAMMING. Euclidean, or L2, distance is supported but must be selected when required; it is not the general default. Levenshtein distance applies to string-edit comparisons, while bitwise XOR is not the default Oracle vector-distance metric. Therefore, for the scenario stated in the question, option C is the verified answer. Oracle Docs

by Carr at Oct 05, 2026, 09:09 AM

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