CompTIA Data+ DA0-002 (V2) Practice Question

The correct answer is to ask a fellow data analyst for a peer review. Given that the analyst has already reviewed their own code and calculations multiple times, they are likely too close to the project to spot a potential logic error or incorrect assumption. A peer review provides a fresh set of eyes from a colleague with similar expertise who can scrutinize the logic, data sources, and calculations without the same biases as the original author. This collaborative approach is a highly effective validation technique for catching subtle errors.

• Manually validating a sample of raw data against the report is a valid technique known as source validation, but it can be very time-consuming. A peer review is a more efficient first step to check the overall logic before committing to a manual data audit.
• Implementing data filtering to reduce data size is a technique used to troubleshoot performance issues like slow refresh rates, not data accuracy problems.
• Redefining the metric with the stakeholder is premature. The analyst must first validate whether the current calculation is correct according to the original requirements before considering a change to the requirements themselves.