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QuestionQ304

Ensuring solution and operations excellence

For this question, refer to the TerramEarth case study. Taking the technical requirements into account, how should you reduce unplanned vehicle downtime in GCP?

  • A Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.
  • B Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.
  • C Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a Multi-Regional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google Data Studio for analysis and reporting.
  • D Use Cloud Dataproc Hive as the data warehouse. Directly stream data into partitioned Hive tables. Use Pig scripts to analyze data.
Explanation

Reducing vehicle downtime requires current telemetry for timely predictive maintenance and replacement-parts planning. Pub/Sub can ingest events from connected vehicles, and Dataflow can process the streaming data and write it to BigQuery for low-latency analytics and reporting. Periodic gzip-file uploads leave the data stale, while a Dataproc/Hive solution adds operational complexity without improving the real-time ingestion path.

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