How can combining vertical and horizontal decomposition improve scalability in a microservices database?

hard📝 Trade-off Q9 of 15

Microservices - Migration from Monolith

ABy duplicating all data across services for faster access

BBy merging all tables into one large table for simplicity

CBy splitting tables both by columns and rows, reducing data size per service

DBy storing all data in a single database shard

Step-by-Step Solution

Solution:

Step 1: Understand combined decomposition
Vertical splits columns, horizontal splits rows, so combining reduces data per service.
Step 2: Identify scalability benefit
Smaller data per service improves performance and scalability.
Final Answer:
By splitting tables both by columns and rows, reducing data size per service -> Option C
Quick Check:
Combine vertical + horizontal = smaller data chunks [OK]

Quick Trick: Combine splits to reduce data size per service [OK]

Common Mistakes:

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