CAS-001 · Question #466
A company uses a custom Line of Business (LOB) application to facilitate all back-end manufacturing control. Upon investigation, it has been determined that the database used by the LOB application…
The correct answer is D. Difficulty extracting data from the database. A proprietary data format creates vendor lock-in. The greatest operational robustness concern is the inability to extract data from the database if the vendor discontinues the product, goes out of business, or if the application must be replaced. Without data portability, the…
Question
A company uses a custom Line of Business (LOB) application to facilitate all back-end manufacturing control. Upon investigation, it has been determined that the database used by the LOB application uses a proprietary data format. The risk management group has flagged this as a potential weakness in the company's operational robustness. Which of the following would be the GREATEST concern when analyzing the manufacturing control application?
Options
- ADifficulty backing up the custom database
- BDifficulty migrating to new hardware
- CDifficulty training new admin personnel
- DDifficulty extracting data from the database
How the community answered
(29 responses)- A3% (1)
- B17% (5)
- C7% (2)
- D72% (21)
Explanation
A proprietary data format creates vendor lock-in. The greatest operational robustness concern is the inability to extract data from the database if the vendor discontinues the product, goes out of business, or if the application must be replaced. Without data portability, the entire manufacturing operation's historical and operational data could become inaccessible, making recovery or migration impossible. This is a business continuity risk of the highest severity. Options A (backup difficulty) and B (hardware migration) are real concerns but are secondary - if data can be extracted, backups and migrations become solvable problems. Option C (training personnel) is an operational concern but does not threaten the integrity or continuity of the data itself.
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