
Answer-first summary for fast verification
Answer: Pub/Sub, Bigtable
The correct answer is **C** because **Pub/Sub** is ideal for ingesting data from IoT devices, offering a globally durable message ingestion service that can handle spikes in data volume. **Bigtable** is well-suited for storing time series data, providing low-latency and high-throughput for NoSQL data, making it perfect for scenarios where data needs to be quickly accessible for visualizations and queries. - **Option A** is incorrect because **Dataproc** is not designed for data ingestion in IoT solutions and **Datastore** is not optimized for time series data storage. - **Option B** is incorrect because **Dataproc** is not an ideal service for data ingestion in this context, despite **Bigtable** being suitable for storage. - **Option D** is incorrect because **Datastore** is not the best choice for storing time series IoT data, even though **Pub/Sub** is correct for ingestion. For more details, refer to the [GCP documentation on IoT Overview](https://cloud.google.com/iot/docs/concepts/overview).
Author: LeetQuiz Editorial Team
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Your team is designing an IoT solution requiring the ingestion and storage of periodic time series data from thousands of devices. Which Google Cloud services are best suited for this task?
A
Pub/Sub, Dataproc
B
Dataproc, Bigtable
C
Pub/Sub, Bigtable
D
Pub/Sub, Datastore
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