GCP PCA · Question 16 · Domain 1: Designing and Planning a Cloud Solution Architecture

CASE STUDY: AutoMakers Inc

Company Overview:
AutoMakers Inc is a global vehicle manufacturer. They have recently launched a line of connected cars.

Current Technical Environment:

• 1 million connected cars currently on the road
• Cars send telemetry data (speed, engine temp, location) every 5 seconds
• Current on-premises MQTT brokers are crashing under the load

Business Requirements:

• Enable predictive maintenance to alert drivers before parts fail
• Provide real-time fleet tracking for commercial customers
• Support over-the-air (OTA) software updates

Executive Statements:

• CEO: "Data is our new revenue stream. We need to monetize this telemetry data."
• CTO: "We expect to have 10 million connected cars in 3 years. The architecture must scale infinitely without manual intervention."
• CFO: "The cost of ingesting and storing this data must be strictly controlled. We cannot pay for idle capacity."

Technical Requirements:

• Ingest up to 100,000 messages per second
• Low-latency processing for real-time alerts
• Time-series data storage for historical analysis
• Handle variable network connectivity (cars driving through tunnels)

Constraints:

• Strict budget for data ingestion
• Small data engineering team

QUESTION:
To meet the CTO's requirement for infinite scaling and the technical requirement to ingest 100,000 messages per second, which ingestion and processing pipeline should you design?