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In the context of distributed databases, what is 'eventual consistency'?

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Question: In the context of distributed databases, what is \'eventual consistency\'?

Options:

  1. All nodes are always consistent
  2. Data will become consistent over time
  3. Data is never consistent
  4. Data is only consistent during transactions

Correct Answer: Data will become consistent over time

Solution:

Eventual consistency means that while data may not be immediately consistent across all nodes, it will become consistent over time.

In the context of distributed databases, what is 'eventual consistency'?

Practice Questions

Q1
In the context of distributed databases, what is 'eventual consistency'?
  1. All nodes are always consistent
  2. Data will become consistent over time
  3. Data is never consistent
  4. Data is only consistent during transactions

Questions & Step-by-Step Solutions

In the context of distributed databases, what is 'eventual consistency'?
  • Step 1: Understand that a distributed database has multiple locations (nodes) where data is stored.
  • Step 2: Realize that when data is updated in one location, it may not update immediately in all other locations.
  • Step 3: Know that 'eventual consistency' means that after some time, all locations will have the same data.
  • Step 4: Remember that during the time it takes for data to sync, different locations may show different versions of the data.
  • Step 5: Accept that this is okay for many applications, as they can work with slightly outdated data temporarily.
  • Eventual Consistency – A consistency model in distributed databases where updates to data may not be immediately reflected across all nodes, but will converge to a consistent state over time.
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