What is the impact of dropping an index on query performance?

Prepare for the MongoDB Associate Developer Exam with flashcards and practice multiple choice questions. Each question includes hints and explanations to ensure you're ready for test day.

Dropping an index can significantly impact query performance depending on the utility of that index. When an index is dropped, queries that were optimized by using that index may experience a slowdown, as they may now need to perform full collection scans instead of leveraging the index for faster data retrieval.

If the index being removed was frequently used by queries to filter or sort data, removing it will result in longer query execution times because the database engine will no longer have the efficient pathway to access the necessary data directly. Conversely, if the index was rarely used or was causing overhead due to maintenance costs (like during insert or update operations), dropping it could potentially improve overall performance. However, without the index, any queries that relied on it would likely degrade.

This understanding underscores the importance of evaluating the performance impact of an index before deciding to drop it, making the answer highlighting the potential for degraded performance when the index is useful accurate.

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