In processing controls must be established within an information system in order to ensure integrity—what combined objective do these controls serve during processing of transactions and datasets?

Computer Science System Analysis and Design Difficulty: Easy
Choose an option
  • A
    Prohibit tampering with information by unauthorized person
  • B
    Verify that all data have been processed
  • C
    Block or trap faulty data from entry into processing
  • D
    All of the above
  • E
    None of the above

Answer

Correct Answer: All of the above

Explanation

Introduction / Context:In processing controls are protective mechanisms inside a system that maintain integrity, completeness, and accuracy from input through output. Good controls reduce fraud, mistakes, and operational risk while supporting auditability.

Given Data / Assumptions:

  • We focus on controls that act during processing (not only pre-input or post-output).
  • The options mention security, completeness, and validation aspects.
  • We seek the combined objective fulfilled by such controls.

Concept / Approach:Effective processing controls typically include: authentication/authorization checks, edit checks, sequence and batch totals, run-to-run controls, reasonableness checks, error trapping, and reconciliation. Together they prevent unauthorized changes, ensure all items are processed once, and keep bad or corrupt records from polluting downstream results.

Step-by-Step Solution:1) Security: enforce permissions to stop unauthorized actions and tampering.2) Completeness: use control totals and end-of-file markers so every record in a batch is processed.3) Validity: use range, format, and referential checks to block invalid data before calculations occur.4) Exception handling: log, quarantine, and reprocess errors in a controlled queue.5) Audit trail: preserve run-to-run totals to trace transformations.

Verification / Alternative check:Standards and audit guidance consistently specify that robust processing controls address confidentiality/integrity (prevent tampering), completeness (everything processed), and validity (reject or trap faulty data).

Why Other Options Are Wrong:Prohibit tampering: true but incomplete alone.Verify all data processed: true but not sufficient.Block faulty data: true but only one dimension.None of the above: incorrect because all three are relevant.

Common Pitfalls:Relying only on input validation, ignoring run-to-run controls, or failing to segregate duties can still allow omissions or unauthorized changes during processing.

Final Answer:All of the above

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