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Crucial Exams

CompTIA Data+ DA0-002 (V2) Practice Question

A healthcare provider loads patient encounter records into a Snowflake data warehouse every hour. The data team already has automated monitors that alert on row-count volume, table freshness, and schema changes. They now want to be warned if the relative frequency of ICD-10 diagnosis codes drifts gradually over several days-something that could skew epidemiological trend reports but would not break the pipeline outright. Which additional automated data-quality monitor would most directly address this requirement?

  • A regex validation that ensures each diagnosis_code matches the pattern [A-Z][0-9][0-9].[0-9]

  • A statistical distribution monitor that compares current diagnosis-code frequencies with historical baselines and alerts on significant deviations

  • A referential-integrity check that confirms every encounter links to an existing patient_id in the patient table

  • A not-null percentage rule that triggers when the diagnosis_code column contains more than 1% NULL values

CompTIA Data+ DA0-002 (V2)
Data Governance
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