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Answer: Cloud Dataflow
Cloud Dataflow is the recommended service for this scenario because it is a managed Apache Beam runner designed for both stream and batch processing, making it ideal for analyzing real-time sensor data. Cloud Dataproc is a managed Hadoop/Spark cluster service, which is not the best fit for this specific use case. Cloud Data Fusion is an ETL service typically used with data warehouses, and Cloud Firestore is a NoSQL document database service, neither of which are suitable for real-time data analysis. For more information, refer to [Cloud Dataflow documentation](https://cloud.google.com/dataflow/docs/concepts).
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A manufacturer of delivery drones has equipped drones with multiple sensors that send performance and environment data to the analytics pipeline. Temperature readings from the past hour are analyzed, and if any reading is more than 2 standard deviations away from the mean for that hour, an alert is triggered. You are tasked with building the analysis pipeline using a managed service. Which Google Cloud service would you recommend for this scenario?
A
Cloud Dataproc
B
Cloud Data Fusion
C
Cloud Dataflow
D
Cloud Firestore