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Testowanie całej populacji AI w quizie audytowym

Testuje, czym 100% analiza transakcji różni się od próbkowania audytowego, czego nie może udowodnić w zakresie kompletności danych i jak segregować duże zbiory wyjątków.

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Pytanie 1 z 8

When an auditor runs a three-way match on every purchase invoice instead of a sample, what is eliminated for that attribute?

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  1. When an auditor runs a three-way match on every purchase invoice instead of a sample, what is eliminated for that attribute?
    • The need to evaluate exceptions
    • The risk that the data extract is incomplete
    • Sampling risk
    • The need for IT general controls
  2. Why does testing 100 percent of recorded purchases not prove that liabilities are complete?
    • Unrecorded liabilities never appear in the recorded data being analyzed
    • Analytics cannot read invoice amounts
    • Purchases are never matched to receiving records
    • Sampling standards forbid full-population tests
  3. Before running full-population tests, what step does the guide say proves the population?
    • Asking management to confirm the file is complete
    • Running a Benford test on the amounts
    • Selecting a random sample of 25 items
    • Reconciling the extract to the general ledger or trial balance using record counts and control totals
  4. A cutoff test flags 4,000 items, most of which look like timing differences. Which response fits the guide's approach?
    • Ignore the flags because most are probably harmless
    • Group the flags by shared cause, investigate each group, refine the rule and rerun it
    • Report all 4,000 items as misstatements
    • Switch back to testing a sample and discard the analysis
  5. How should an auditor treat an item flagged by a full-population test?
    • As an item that needs investigation, not automatically a misstatement
    • As a confirmed misstatement to be booked
    • As evidence that controls failed completely
    • As a sampling error
  6. An auditor examines 25 items from a group of 2,000 flagged items and draws conclusions about all 2,000. What applies to that step?
    • Nothing, because full-population testing was already done
    • Only the rules on IT general controls
    • The audit sampling requirements
    • Benford's law thresholds
  7. What has been a growing focus for auditing standard-setters and regulators regarding full-population testing?
    • Banning audit sampling entirely
    • How auditors should respond to large numbers of items flagged by technology-assisted analysis
    • Requiring Benford's law in every audit
    • Eliminating the need for performance materiality
  8. Why can an invoice that passes a perfect three-way match still be a problem?
    • Three-way matches cannot be run on complete populations
    • The test was not run by a licensed CPA
    • Receiving records are always unreliable
    • The test checks only the rule written, and a fake vendor can still produce matching records