Crucial Exams

GCP Professional Data Engineer Practice Question

Your analytics team uses Dataform in BigQuery to orchestrate an ELT pipeline. Raw daily POS files land in a staging table, then several downstream tables are published to production datasets. You must ensure the run is aborted-and nothing is published-if any row in the staging table has a sale_date older than 90 days. The control must live in the same Dataform repo, without extra services or custom orchestration. Which approach meets these requirements?

  • Add a SQLX file of type "assertion" that selects rows where sale_date < DATE_SUB(CURRENT_DATE(), INTERVAL 90 DAY); Dataform automatically fails the run if the query returns rows.

  • Embed a BEGIN … RAISE ERROR script in the pre_operation block of every downstream table so the build stops when invalid dates are detected.

  • Create a Cloud Monitoring alert on the staging table's age metric and configure Cloud Build to cancel the Dataform run when the alert fires.

  • Set a 90-day partition expiration on the staging table so older records are automatically deleted before downstream tables are built.

GCP Professional Data Engineer
Designing data processing systems
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