You're designing a real-time analytics solution for an IoT application that expects high volumes of incoming data. Which GCP services should be used for data ingestion and storage to ensure scalability and low latency?
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Correct answer: Cloud Pub/Sub for ingestion and Cloud Bigtable for storage.
Why this is the answer
*Explanation:* To design a real-time analytics solution for an IoT application with high volumes of incoming data while ensuring scalability and low latency, the best combination of GCP services is **Cloud Pub/Sub for ingestion and Cloud Bigtable for storage**. Cloud Pub/Sub is designed for handling large volumes of events with low latency, making it ideal for IoT data. Cloud Bigtable offers high-throughput storage and is optimized for low-latency read/write operations, making it a suitable choice for storing IoT data. The other options (B, C, D, E) do not provide the same level of scalability and low latency for this specific use case.
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