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Question 47 of 1,446

PCDE Practice Question: Manage a solution that can span multiple database technologies

Your Cloud Bigtable instance is experiencing hot spots, causing performance degradation. You want to identify the specific row keys causing the hot spots. Which tool should you use?

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

Key Visualiser

Key Visualiser is a Cloud Bigtable tool that visualises read/write traffic across the row key space, helping identify hot spots (rows with disproportionate traffic). Cloud Monitoring provides overall metrics but not row-level detail. Cloud Logging logs queries but not aggregated heat maps. cbt is the command-line tool for administrative tasks but does not provide visualisation.

Answer analysis

Option-by-option breakdown

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

  • Cloud Monitoring dashboard

    Why it's wrong here

    Cloud Monitoring provides instance-level metrics but not row-key-level heat mapping.

  • Key Visualiser

    Why this is correct

    Key Visualiser is specifically designed to detect hot spots by showing traffic distribution across row keys.

  • cbt command-line tool

    Why it's wrong here

    cbt does not have hot spot detection capabilities.

  • Cloud Logging

    Why it's wrong here

    Cloud Logging can show individual requests but not aggregated hot spot patterns.

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Same concept, more angles

1 more way this is tested on PCDE

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A Cloud Bigtable instance has a hot spot causing performance degradation. Which tool helps identify the hot spot?

easy
  • A.Cloud Monitoring dashboard
  • B.Cloud Logging
  • C.Key Visualizer
  • D.Bigtable Admin API

Why C: Key Visualizer is a built-in Bigtable tool that visualizes access patterns and helps identify hot spots (uneven load across row keys).

Last reviewed: Jul 4, 2026

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