Difficulty: Easy
Correct Answer: Data transmission
Explanation:
Introduction / Context:
Checksums and check digits are fundamental techniques in error detection. They add redundancy to a data block or identifier so that accidental changes can be caught when the data is read or received. While arithmetic and logical operations have separate validation mechanisms, the classic and primary use case of checksums is in communication and storage—detecting corruption during transit or retrieval.
Given Data / Assumptions:
Concept / Approach:
In data transmission, a sender computes a checksum from the payload and attaches it. The receiver recomputes it; if the values differ, an error is flagged. Storage systems work similarly, detecting silent corruption. Arithmetic and logical operations are typically validated by separate test or proof methods, not checksums attached to operands/results. Therefore, the standard association is with transmission/storage integrity rather than computational correctness per se.
Step-by-Step Solution:
Verification / Alternative check:
Networking models (link and transport layers) and storage systems (filesystems, RAID) implement checksums for error detection, reinforcing the choice.
Why Other Options Are Wrong:
Common Pitfalls:
Assuming checksums correct errors; most detect only. Correction requires codes with redundancy designed for correction (e.g., Hamming, Reed–Solomon) or retransmission protocols.
Final Answer:
Data transmission
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