ExpertGCP PCA · Question 11 · Technical Requirements
CASE STUDY: TerramEarth
Company Overview: TerramEarth manufactures heavy equipment. 2 million vehicles in the field.
Current Environment: Vehicles send telemetry via cellular. Processing 100,000 msgs/sec. On-prem Hadoop cluster.
Business Requirements: Predict equipment failure. Reduce warranty costs. Provide fleet dashboard.
Executive Statements: CEO: 'Monetize data.' CFO: 'Storage costs spiraling.' CTO: 'Need scalable ingestion and ML.'
Technical Requirements: Ingest 500,000 msgs/sec. Store petabytes cost-effectively. Train ML models. Real-time anomaly detection.
Constraints: Intermittent connectivity. Strict vehicle authentication.
QUESTION:
Which architecture should you design to handle the ingestion of 500,000 messages per second from vehicles with intermittent connectivity?
CASE STUDY: TerramEarth
Company Overview: TerramEarth manufactures heavy equipment. 2 million vehicles in the field.
Current Environment: Vehicles send telemetry via cellular. Processing 100,000 msgs/sec. On-prem Hadoop cluster.
Business Requirements: Predict equipment failure. Reduce warranty costs. Provide fleet dashboard.
Executive Statements: CEO: 'Monetize data.' CFO: 'Storage costs spiraling.' CTO: 'Need scalable ingestion and ML.'
Technical Requirements: Ingest 500,000 msgs/sec. Store petabytes cost-effectively. Train ML models. Real-time anomaly detection.
Constraints: Intermittent connectivity. Strict vehicle authentication.
QUESTION:
Which architecture should you design to handle the ingestion of 500,000 messages per second from vehicles with intermittent connectivity?
Answer options:
Send messages directly to Cloud SQL using REST APIs.
Deploy an MQTT broker on GKE behind a Network Load Balancer, forwarding messages to Cloud Pub/Sub.
Use Cloud Storage to receive CSV files uploaded by the vehicles every hour.
Use Cloud Functions to process each message synchronously and write to Bigtable.
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