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By Google · Question Mode

QuestionQ7

Planning and configuring a cloud solution

You are developing an internet of things (IoT) application that captures sensor data from multiple devices that have already been set up. You need to identify the global data storage product your company should use to store this data. You must ensure that the storage solution you choose meets your requirements of sub-millisecond latency. What should you do?

  • A Store the IoT data in Spanner. Use caches to speed up the process and avoid latencies.
  • B Store the IoT data in Bigtable.
  • C Capture IoT data in BigQuery datasets.
  • D Store the IoT data in Cloud Storage. Implement caching by using Cloud CDN.
Explanation

Bigtable is Google Cloud's wide-column NoSQL database purpose-built for high-throughput, low-latency operational and IoT workloads, delivering consistent single-digit-to-sub-millisecond read/write latency at massive scale. Spanner offers strong global consistency but with higher write latency for a relational workload, BigQuery is an analytical warehouse unsuited to low-latency point lookups, and Cloud Storage with Cloud CDN serves cached objects rather than fast-changing sensor telemetry.

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