Navigation databases are updated on fixed cycles. What integrity checks are used?

Navigation databases are updated on fixed cycles. What integrity checks are used?

• A. Updates occur on fixed cycle; integrity checks include checksums and range checks.
• B. Updates occur randomly; integrity checks are not used.
• C. Updates occur on fixed cycles; integrity checks include checksums, range checks, and error detection.
• D. Updates never occur; integrity checks are manual.

Answer: (C)

Integrity validation for navigation databases relies on a predictable update cadence and robust checks. Updates are performed on a fixed schedule to maintain compatibility across avionics and to allow proper version management, testing, and rollback if needed. To guard against data corruption or tampering, multiple integrity checks are used. Checksums verify that each block of data matches its original value after transfer or storage. Range checks ensure that values stay within expected limits (such as valid latitude/longitude ranges and other navigation data fields), catching out-of-bounds or nonsensical data. Error detection mechanisms, such as CRCs or other parity methods, provide an additional layer to catch errors that might slip past simple checksums, especially over noisy channels or storage faults. Together, these measures keep the navigation database accurate and trustworthy across updates.

Integrity validation for navigation databases relies on a predictable update cadence and robust checks. Updates are performed on a fixed schedule to maintain compatibility across avionics and to allow proper version management, testing, and rollback if needed. To guard against data corruption or tampering, multiple integrity checks are used. Checksums verify that each block of data matches its original value after transfer or storage. Range checks ensure that values stay within expected limits (such as valid latitude/longitude ranges and other navigation data fields), catching out-of-bounds or nonsensical data. Error detection mechanisms, such as CRCs or other parity methods, provide an additional layer to catch errors that might slip past simple checksums, especially over noisy channels or storage faults. Together, these measures keep the navigation database accurate and trustworthy across updates.