Question

What are four different ways to shard matrices across machines using Spark

A) Random sharding, Range sharding, Hash sharding, Block sharding
B) Sequential sharding, Balanced sharding, Adaptive sharding, Dynamic sharding
C) Vertical sharding, Horizontal sharding, Diagonal sharding, Circular sharding
D) Static sharding, Dynamic sharding, Replication sharding, Hybrid sharding

Answer 1

The four different ways to shard matrices across machines using Spark are random sharding, range sharding, hash sharding, and block sharding.

Step-by-step explanation:

The correct answer is A) Random sharding, Range sharding, Hash sharding, Block sharding. These are four different ways to shard matrices across machines using Spark.