Which of the following is a data quality metric?

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Multiple Choice

Which of the following is a data quality metric?

Explanation:
Data quality metrics measure how trustworthy data is for decision-making. The metric that fits data quality most directly is accuracy, which checks whether the stored data values reflect the true values. For example, if a record lists a person’s birth year, accuracy means that year is correct. The other options describe system performance: uptime is how often the system is available, latency is the delay in response, and throughput is how much data the system processes in a given time. These assess speed, availability, or capacity, not whether the data itself is correct. Therefore, accuracy is the data quality metric among these choices.

Data quality metrics measure how trustworthy data is for decision-making. The metric that fits data quality most directly is accuracy, which checks whether the stored data values reflect the true values. For example, if a record lists a person’s birth year, accuracy means that year is correct. The other options describe system performance: uptime is how often the system is available, latency is the delay in response, and throughput is how much data the system processes in a given time. These assess speed, availability, or capacity, not whether the data itself is correct. Therefore, accuracy is the data quality metric among these choices.

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