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Answer: Use a real-time data monitoring tool to continuously track and validate data as it is updated.
Option B is the most effective approach for continuously monitoring and ensuring data quality in a frequently updated dataset. Real-time data monitoring tools can track and validate data as it is updated, ensuring ongoing data quality. Option A may not catch issues in real-time. Option C is not reliable as data sources may not always provide high-quality data. Option D is not scalable and may not identify all issues.
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You are responsible for maintaining the data quality of a large dataset that is frequently updated. Which technique would be most effective for continuously monitoring and ensuring data quality?
A
Implement a batch data validation process that runs at regular intervals to check for data quality issues.
B
Use a real-time data monitoring tool to continuously track and validate data as it is updated.
C
Rely on the data source to ensure data quality and not implement any additional validation processes.
D
Manually review the dataset at regular intervals to identify any data quality issues.
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