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How would you approach optimizing a database query that is running slower than expected due to missing indexes, particularly in a machine learning context where response time is critical for real-time predictions?

I would first analyze the query execution plan to identify the bottlenecks and determine which fields are frequently queried but lacking indexes. Then, I would add appropriate indexes, focusing on…

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How would you approach optimizing a database query that is running slower than expected due to missing indexes, particularly in a machine learning context where response time is critical for real-time predictions?

COVER // HOW WOULD YOU APPROACH OPTIMIZING A DATABASE QUERY THAT IS RUNNING SLOWER THAN EXPECTED DUE TO MISSING INDEXES, PARTICULARLY IN A MACHINE LEARNING CONTEXT WHERE RESPONSE TIME IS CRITICAL FOR REAL-TIME PREDICTIONS?

I would first analyze the query execution plan to identify the bottlenecks and determine which fields are frequently queried but lacking indexes. Then, I would add appropriate indexes, focusing on composite indexes for multi-column queries and ensuring that the indexes align with the query patterns, particularly considering the read-heavy nature of machine learning applications.

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