Which sampling methodology is primarily used to detect significant deficiencies?
Which of the following sampling methodologies is PRIMARILY used to detect significant deficiencies?
Community Votes
60% of anonymous learners picked answer A. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests your ability to distinguish sampling methodologies; the trap is confusing the broader attribute sampling technique with discovery sampling's unique purpose of detecting critical exceptions.
This CISA study page explains that discovery sampling is the sampling methodology primarily used to detect significant deficiencies, such as fraud or critical control failures, and analyzes why the other options are not correct.
Choosing attribute sampling because discovery sampling is a subtype of attribute sampling; however, attribute sampling estimates an occurrence rate, while discovery sampling is specifically designed to uncover rare, significant deficiencies.
Community Discussion (3 comments)
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Expert Analysis
Why the Answer Is Correct
Discovery sampling is a special application of attribute sampling designed for situations where the expected occurrence rate is very low but the potential impact is severe. It is primarily used to detect significant deficiencies, including fraud, critical control weaknesses, or other major irregularities, because its sample size is calculated to provide a high probability of finding at least one occurrence when such a condition exists in the population.
Why the Other Options Are Wrong
B. Compliance testing is an audit procedure, not a sampling methodology; it typically uses attribute sampling to test whether controls operate effectively. C. Attribute sampling is broader and is used to estimate the rate of occurrence of a characteristic within a population, not specifically to discover rare, significant deficiencies. D. Substantive testing is designed to detect material monetary errors or misstatements in transactions or account balances, not to detect control deficiencies. Among the presented choices, discovery sampling is the term that directly aligns with the goal of detecting significant deficiencies.
Community Comment Notes
Most comments support discovery sampling, noting that it is used to discover errors, irregularities, or other significant issues in a population. One commenter argued for attribute sampling because it measures the presence or absence of a characteristic, but that view overlooks the distinct purpose of discovery sampling in situations where the expected occurrence rate is very low and the target is a significant or rare deficiency.
Exam Strategy
Remember that discovery sampling is a directed, low expected-rate variant of attribute sampling; exam questions that use the phrase significant deficiencies or fraud are pointing you toward discovery. Eliminate compliance and substantive testing because they focus on controls or monetary amounts, not rare control failures.
Frequently Asked Questions
Why is discovery sampling preferred for significant deficiencies over ordinary attribute sampling?
Discovery sampling is a special attribute sampling use case: it is designed to give a high chance of detecting at least one instance when the population exception rate is very low, such as fraud or a critical control deficiency.
Does discovery sampling measure an error rate?
No. It is mainly a detection tool, not an estimator of occurrence rate. Because it targets rare, significant exceptions, a finding in the sample triggers further investigation rather than a reliable rate estimate.
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