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Question 651 of 1,446

PCDE Practice Question: Design innovative, scalable, and highly available cloud database solutions

A Cloud Bigtable instance stores high-volume time-series data. Write throughput is at node capacity, but read latency spikes occasionally. The row key pattern is 'timestamp#device_id'. Which optimization should be applied first?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Reverse the row key to device_id#timestamp

With timestamp first, writes are concentrated on the same tablet, causing hotspots and read latency spikes. Reversing the order or salting distributes writes.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Add more nodes to the cluster

    Why it's wrong here

    Adding nodes may help but doesn't resolve the root cause of hotspotting.

  • Enable SSD storage

    Why it's wrong here

    Storage type affects latency but hotspotting is the primary issue.

  • Reverse the row key to device_id#timestamp

    Why this is correct

    Device ID first distributes writes across nodes, reducing hotspots.

  • Use a single column family

    Why it's wrong here

    Column families don't affect write distribution.

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Last reviewed: Jul 4, 2026

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