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A file processing application must read a large text file from disk, perform some operations on the data, and write the results to another file. The application aims to optimize the I/O operations for efficient processing.Which of the following options is a suitable approach to handle this scenario?Answer( Please choose a correct answer )   CLEARUse a buffered reader and writer to read and write the file in chunks, reducing I/O overhead.Employ a compression algorithm to reduce the file size before performing I/O operations.Enable file system caching to improve read/write performance for the input file.Implement a multi-threaded approach to parallelize file reading and writing for faster processing.

Question

A file processing application must read a large text file from disk, perform some operations on the data, and write the results to another file. The application aims to optimize the I/O operations for efficient processing.Which of the following options is a suitable approach to handle this scenario?Answer( Please choose a correct answer )   CLEARUse a buffered reader and writer to read and write the file in chunks, reducing I/O overhead.Employ a compression algorithm to reduce the file size before performing I/O operations.Enable file system caching to improve read/write performance for the input file.Implement a multi-threaded approach to parallelize file reading and writing for faster processing.

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Solution

The most suitable approach to handle this scenario is to use a buffered reader and writer to read and write the file in chunks, reducing I/O overhead. This approach allows the application to read and write data in larger blocks, which can significantly improve the performance of I/O operations.

While the other options might also help improve performance, they are not as directly applicable to the scenario. Compression algorithms can reduce file size, but they also add processing overhead and may not be beneficial if the data is not highly compressible. File system caching can improve performance, but it is not something the application can control directly. Multi-threading can speed up processing, but it adds complexity and does not directly optimize I/O operations.

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