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PROFESSIONAL-CLOUD-ARCHITECT · Question #33

You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate…

The correct answer is B. Google Cloud Bigtable. Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads. Low-latency read/write access High-throughput analytics Native time series support Common workloads: IoT, finance, adtech…

Submitted by minji_kr· Mar 30, 2026Designing and planning a cloud solution architecture

Question

You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

Options

  • AGoogle Cloud SQL
  • BGoogle Cloud Bigtable
  • CGoogle Cloud Storage
  • DGoogle cloud Datastore

How the community answered

(63 responses)
  • A
    5% (3)
  • B
    79% (50)
  • C
    3% (2)
  • D
    13% (8)

Explanation

Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads. Low-latency read/write access High-throughput analytics Native time series support Common workloads: IoT, finance, adtech Personalization, recommendations Geospatial datasets Incorrect Answers: C: Google Cloud Storage is a scalable, fully-managed, highly reliable, and cost-efficient object / Images, pictures, and videos Objects and blobs Unstructured data D: Google Cloud Datastore is a scalable, fully-managed NoSQL document database for your web and mobile applications. Semi-structured application data Hierarchical data Durable key-value data Common workloads: Product catalogs

Topics

#Cloud Bigtable#high throughput ingestion#time-series data#streaming analytics

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