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GCP Professional Data Engineer Practice Question

Your analytics team operates a Dataplex lake that ingests raw logs into Cloud Storage, processes them with Dataflow streaming jobs, and writes curated tables to BigQuery. They must:

  1. continuously evaluate data quality on each zone asset,
  2. trace lineage from raw objects to curated tables, and
  3. receive automatic email alerts when any Dataflow job throughput falls below a threshold. Which combination of Google Cloud services best satisfies all three monitoring needs?

  • Catalog assets with Data Catalog, detect anomalies using Vertex AI Model Monitoring, and use Cloud Monitoring only for email alerts.

  • Instrument pipelines with Stackdriver Trace, collect metrics with the Ops Agent, and trigger alerts by Cloud Scheduler cron jobs.

  • Use Dataplex data quality rules and built-in lineage tracking for requirements 1-2, and configure Cloud Monitoring alert policies on Dataflow metrics with an email notification channel for requirement 3.

  • Query BigQuery INFORMATION_SCHEMA for quality checks, publish lineage metadata to Cloud Logging, and export logs to Pub/Sub to trigger email notifications.

GCP Professional Data Engineer
Storing the data
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