Session length

1 / 20

In the context of Apache Clustering, what needs to happen for data to be replicated among nodes?

Nodes must be in different AWS regions

Nodes must leverage a third-party tool

Shared memory must be configured

For data to be replicated among nodes in the context of Apache Clustering, shared memory configuration is essential. Shared memory allows different nodes in a cluster to access the same data simultaneously, facilitating the synchronization and replication of that data across the nodes. When shared memory is set up, it creates a common data segment that multiple nodes can access, which enhances performance and maintains data consistency.

In scenarios where shared memory is not configured, each node would operate independently, leading to data inconsistency and potential conflicts when nodes try to access or modify the same data. Therefore, shared memory is a critical component that ensures efficient and effective data replication in an Apache Clustering environment.

Data caching must be enabled

Next question

Find the option that is right for you!

All options are one-time payments.

$12.50

30 day premium pass

All the basics to get you started

  • Ad-free experience
  • View your previous attempt history
  • Mobile app access
  • In-depth explanations
  • 30 day premium pass access
$30.00 $87.50 usd

6 month DELUXE pass (most popular)

Everything with the 30 day premium pass FOR 6 MONTHS! & the ultimate digital PDF study guide (BONUS)

  • Everything included in the premium pass
  • $87.50 usd value for $30.00! You save $57.50!
  • + Access to the ultimate digital PDF study guide
  • + 6 months of premium pass access
  • + Priority support
$12.50 $18.99

Ultimate digital PDF study guide

For those that prefer a more traditional form of learning

  • Available for instant download
  • Available offline
  • Hundreds of practice multiple choice questions
  • Comprehensive content
  • Detailed explanations
Image Description
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy