Which practice best describes validating customizations after applying an application update?

Which practice best describes validating customizations after applying an application update?

• A. Rely on the system to perform validation automatically.
• B. Manual validation only for major releases.
• C. Check all customizations after each update.
• D. Validation is not necessary unless users report issues.

Answer: (C)

Validating customizations after every update is essential because updates can change APIs, data structures, or expected behaviors that customizations rely on. Even small releases can introduce tweaks that break a workflow, alter data formats, or modify how integrations work. By checking all customizations after each update, you catch these issues early, ensure everything still functions as intended, and maintain a smooth user experience. Relying on automatic system validation alone isn’t enough because automated checks may not cover every real-world use case or every customization path. Waiting for issues to be reported means problems could affect users before you notice them, which is why proactive validation after each update is the prudent approach. This keeps customizations reliable across both minor and major updates, rather than assuming nothing changes or only acting on user-reported problems.

Validating customizations after every update is essential because updates can change APIs, data structures, or expected behaviors that customizations rely on. Even small releases can introduce tweaks that break a workflow, alter data formats, or modify how integrations work. By checking all customizations after each update, you catch these issues early, ensure everything still functions as intended, and maintain a smooth user experience.

Relying on automatic system validation alone isn’t enough because automated checks may not cover every real-world use case or every customization path. Waiting for issues to be reported means problems could affect users before you notice them, which is why proactive validation after each update is the prudent approach. This keeps customizations reliable across both minor and major updates, rather than assuming nothing changes or only acting on user-reported problems.