Internet_Scаle_Cоmputing_1c Giаnt-Scаle Services The cоntext fоr this question is the same as the previous question. 1. You are building a planetary store, where: The key is a unique sensor ID for each sensor deployed across the world. The value is information collected by the sensor such as environmental conditions (temperature, humidity, pollution levels), industrial data (machine status, output), and more. Your design aims to provide high availability and fast access time to process real-time queries to the sensor data store. You have 5 data centers, each with an identical replica of the store. Each data center has 100,000 servers. The store is partitioned into 10,000 equal shards and stored on 10,000 servers . Each shard is replicated in 10 servers. You intend to provide “full harvest” for each query and fully exploit the available parallelism for processing each query. A server assigned to a query is dedicated to that query for the duration of the query processing. (c) [2 points] Assume that you perform rolling upgrade whenever there is a hardware upgrade. The rolling upgrade takes down 10% of the servers at a time in each phase. What will be the yield during every upgrade phase? Explain.