Which sorting algorithm is best suited for large datasets that do not fit into m

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Question: Which sorting algorithm is best suited for large datasets that do not fit into memory?

Options:

Correct Answer: Merge Sort

Solution:

Merge Sort is best suited for large datasets that do not fit into memory due to its external sorting capabilities.

Which sorting algorithm is best suited for large datasets that do not fit into memory?

Which sorting algorithm is best suited for large datasets that do not fit into memory?

Step 1: Understand that large datasets are those that cannot be fully loaded into the computer's memory (RAM).
Step 2: Learn about sorting algorithms, which are methods used to arrange data in a specific order.
Step 3: Identify that some sorting algorithms work well with data that fits in memory, while others are designed for larger datasets.
Step 4: Recognize that Merge Sort is a sorting algorithm that can handle large datasets effectively.
Step 5: Understand that Merge Sort works by dividing the dataset into smaller parts, sorting those parts, and then merging them back together.
Step 6: Note that Merge Sort can sort data stored on disk (external sorting), making it suitable for large datasets that exceed memory limits.

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