Crucial Exams

GCP Professional Data Engineer Practice Question

Your data engineering team maintains a daily batch workflow that 1) executes a Dataflow job, 2) conditionally calls an external REST API, 3) waits for a BigQuery transformation to finish, and 4) sends a status email on completion. The workflow must offer dependency management, configurable retries and back-off for each step, a graphical DAG view for operators, and access to a large ecosystem of community-maintained connectors. Operations also requires centralized Cloud Monitoring and Logging without having to manage Airflow themselves. Which Google Cloud service should you recommend to orchestrate this workflow?

  • Workflows, expressed in YAML, invoking Cloud Functions and Cloud Run for each step.

  • Cloud Composer, the managed Apache Airflow service, defining the process as a DAG with task-level retries and native monitoring.

  • A single Dataflow Flex Template that embeds the orchestration logic inside the pipeline itself.

  • Cloud Scheduler jobs that publish Pub/Sub messages to trigger individual Cloud Functions sequentially.

GCP Professional Data Engineer
Designing data processing systems
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