Crucial Exams

GCP Professional Data Engineer Practice Question

Your company is building a unified analytics platform on Google Cloud. Factory sensors publish billions of events every second via an MQTT broker, while ten years of compressed CSV telemetry is stored in Amazon S3. A single Dataflow pipeline must apply the same transformations to both the real-time stream and periodic back-fills, then write curated data to BigQuery. To minimize operational effort and ensure Dataflow performs all transformations, which managed Google Cloud services should you use to ingest the streaming and batch data, respectively?

  • Datastream to capture MQTT sensor messages and scheduled gsutil copy jobs on Compute Engine to pull the S3 archives.

  • Cloud Pub/Sub for the sensor stream and BigQuery Data Transfer Service to load the S3 archives directly into BigQuery.

  • Cloud Pub/Sub for the sensor stream and Storage Transfer Service to move the S3 archives into Cloud Storage for batch ingestion.

  • Cloud Data Fusion's real-time streaming source for sensors and Transfer Appliance to ingest the S3 archives.

GCP Professional Data Engineer
Ingesting and processing the data
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