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SnowPro Advanced Data Scientist Practice Questions - SnowPro Advanced Data Scientist (DSA-C03) Exam
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Question Number 5
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
Count Down:
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