DEA-C02 · Question #105
How can a Data Engineer track credit consumption related to the use of Data Metric Functions (DMFs)? Query the table function.
The correct answer is B. Query the DATA_QUALITY_MONITORING_USAGE_HISTORY view. DATA_QUALITY_MONITORING_USAGE_HISTORY is a dedicated view in Snowflake's ACCOUNT_USAGE schema that tracks credit consumption specifically tied to Data Metric Function evaluations, making it the correct tool for this monitoring task. Option A and C both reference…
Question
Options
- ADATABASE_STORAGE_USAGE_HISTORY
- BQuery the DATA_QUALITY_MONITORING_USAGE_HISTORY view.
- CQuery the DATABASE_STORAGE_USAGE_HISTORY view.
- DQuery the table function.
How the community answered
(26 responses)- B92% (24)
- C4% (1)
- D4% (1)
Explanation
DATA_QUALITY_MONITORING_USAGE_HISTORY is a dedicated view in Snowflake's ACCOUNT_USAGE schema that tracks credit consumption specifically tied to Data Metric Function evaluations, making it the correct tool for this monitoring task. Option A and C both reference DATABASE_STORAGE_USAGE_HISTORY, which tracks storage consumption (bytes used by databases), not compute credits from DMF execution - a common trap since "usage history" appears in both names. Option D ("Query the table function") is a fragment of the question stem rephrased as an answer, not a real Snowflake object.
Memory tip: Think "Data Quality = Data Quality view" - DATA_QUALITY_MONITORING_USAGE_HISTORY maps directly to the feature it monitors. If a Snowflake question asks about tracking credits for a specific feature, look for a _USAGE_HISTORY view named after that feature, not a generic storage view.
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