A data analytics team has developed a new interactive sales dashboard. Before a company-wide rollout, the team grants access to several sales managers, who are the intended end-users. These managers are instructed to use the dashboard with real-world, anonymized data to confirm that its features and calculations align with the business requirements defined at the start of the project. They are also asked to provide feedback on the overall usability for their daily tasks. Which data quality assurance practice does this scenario best describe?
The correct answer is User acceptance test (UAT). This scenario describes the final phase of testing where the primary stakeholders or end-users (the sales managers) validate that a new system (the sales dashboard) meets their business needs and is fit for purpose in a real-world setting before it is deployed.
A unit test is incorrect because it involves developers testing individual, isolated components of the code, not the entire system being tested by end-users.
A stress test is incorrect as it is designed to evaluate a system's stability and performance under extreme conditions, such as high user loads or large data volumes, rather than verifying its business functionality under normal use.
Requirement testing is a broad term, and while UAT does test against requirements, UAT is the specific practice where end-users perform the validation to provide final acceptance. The scenario, involving end-users validating the system for business purposes, is most accurately defined as UAT.
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CompTIA Data+ DA0-002 (V2)
Data Governance
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