CISA Question 341

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose B2

  I get why some are leaning toward A, but having data in multiple systems doesn’t automatically mean analytics will add value , it actually makes it harder to consolidate and trust the data. The real reason to use analytics is when we don’t yet know where the risks or anomalies are. Data analytics helps identify hidden patterns, correlations, and outliers that manual sampling would miss. That’s why B fits best here , it’s about discovering unknown risk trends, not just handling data from multiple sources.

• Chose B3

  When anomalies and risk trends are undefined, data analytics is particularly powerful because it can: Identify patterns, outliers, and correlations that are not obvious through traditional sampling or testing, Enable exploratory analysis to uncover unknown risks or unusual behavior, and Provide a comprehensive, data-driven basis for assessing customer transaction risk. Why not the others? A. Transactional data is contained in multiple discrete systems... This may complicate data analysis rather than justify it; data analytics works best with clean, integrated data. C. Audit to comply with regulations requiring periodic random sample testing Random sampling is a traditional audit method; data analytics is more suited to full population analysis rather than just sampling. D. Audit focus is on a small number of predefined high-risk transactions For a small, specific set of transactions, data analytics may be overkill — traditional testing could be more efficient.

• Chose B3

  Sounds more logic and purposeful. Maybe people saw the words "transactional....." and choose A instinctively.