SnowPro Advanced Data Scientist Practice Questions - SnowPro Advanced Data Scientist (DSA-C03) Exam

What does VECTOR_COSINE_SIMILARITY return between two embedding vectors?

A signed Euclidean distance value A similarity score between -1 and 1 where higher is more similar A Manhattan distance between coordinates An integer rank position

Correct Answer:

A similarity score between -1 and 1 where higher is more similar

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