PROFESSIONAL-CLOUD-DATABASE-ENGINEER Question #203: Real Exam Question with Answer & Explanation

Question

Your IoT monitoring platform ingests sensor data from 100,000 devices, generating 2 million writes per second during peak hours and 500,000 writes per second during off-peak hours. Each record is 1KB with a row key format: deviceId#timestamp. Your current 12-node Bigtable cluster experiences hotspotting on specific device ranges, with three nodes handling majority ofthe traffic while others remain underutilized. Read queries typically access the last 24 hours of data for specific devices. Storage costs are becoming a concern as you retain two years of historical data (500TB total). You need to optimize performance, eliminate hotspotting, and reduce storage costs while maintaining read latency under 10ms. What should you do-

Options

• AImplement row key sting wth hash prefix, configure automsted sealing with an optimal min max
• BSplit the table by device type, use separate Bigtable instances for different geographic regions,
• CChange the row key format to deviceId#timestamp, implement automated scaling with an
• DIncrease cluster size to 20 nodes, implement row key salting with hash prefix, and enable