Imagine you're sorting a large dataset stored on disk using Quick Sort. How would you mitigate the risk of running out of memory during the sorting process?

  • Employ an external sorting algorithm such as Merge Sort
  • Increase the size of available memory
  • Split the dataset into smaller chunks and sort them individually
  • Use an in-memory caching mechanism to reduce disk I/O operations
When sorting large datasets stored on disk, mitigating the risk of running out of memory involves using an in-memory caching mechanism. This mechanism allows frequently accessed data to be stored in memory, reducing disk I/O operations and minimizing the chance of memory exhaustion.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *