Does the solution meet the goal?

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You are designing an Azure SQL Database that will use elastic pools. You plan to store data about customers in a table. Each record uses a value for CustomerID.

You need to recommend a strategy to partition data based on values in CustomerID.

Proposed

Solution: Separate data into shards by using horizontal partitioning.

Does the solution meet the goal?
A . Yes
B . No

View Answer

Answer: A

Explanation:

Horizontal Partitioning – Sharding: Data is partitioned horizontally to distribute rows across a scaled out data tier. With this approach, the schema is identical on all participating databases. This approach is also called “sharding”. Sharding can be performed and managed using (1) the elastic database tools libraries or (2) self-sharding. An elastic query is used to query or compile reports across many shards.

References:

https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-query-overview