DA0-001 · Question #273
A financial analyst is creating a daily billing report for a company. One night, the company's data warehouse did not update the data, which caused the data to be reported incorrectly the next day…
The correct answer is B. Data refresh. A data refresh indicator (such as a 'Last Updated' timestamp or data refresh log) in the report documentation allows analysts and users to verify that the data pipeline ran successfully before the report was published. If the warehouse failed to update, the refresh timestamp…
Question
A financial analyst is creating a daily billing report for a company. One night, the company's data warehouse did not update the data, which caused the data to be reported incorrectly the next day. Which of the following documentation elements should the analyst add to catch this error?
Options
- AVersion number
- BData refresh
- CFrequently asked questions tab
- DSummary
How the community answered
(34 responses)- A3% (1)
- B85% (29)
- C9% (3)
- D3% (1)
Explanation
A data refresh indicator (such as a 'Last Updated' timestamp or data refresh log) in the report documentation allows analysts and users to verify that the data pipeline ran successfully before the report was published. If the warehouse failed to update, the refresh timestamp would immediately flag that the data is stale. A version number (A) tracks report design changes, not data currency. An FAQ tab (C) answers user questions but won't detect pipeline failures. A summary (D) describes report content but doesn't validate data freshness.
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