Manage a solution that can span multiple database technologies →mediumMultiple ChoiceObjective-mapped
PCDE Practice Question: Manage a solution that can span multiple database technologies
A company uses Bigtable for real-time analytics. They notice that writes to a specific row range are significantly slower. The Key Visualizer shows a hotspot. What is the most likely cause and recommended action?
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
✓
Redesign the row key to avoid sequential writes to the same region.
Hotspots occur when a single tablet server is overloaded due to high write traffic to a contiguous key range. The solution is to redesign the row key to distribute 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.
- ✗
Create a new cluster and replicate data to that cluster.
Why it's wrong here
Replication does not fix hotspot issues; it adds redundancy.
- ✗
Change the storage type from HDD to SSD.
Why it's wrong here
Storage type affects latency but not hotspot distribution.
- ✓
Redesign the row key to avoid sequential writes to the same region.
Why this is correct
A well-distributed row key spreads writes across tablet servers, eliminating hotspots.
- ✗
Increase the number of nodes to handle the load.
Why it's wrong here
Adding nodes may not help if the hotspot is due to a single key range, as one tablet server still handles that range.
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