Splunk Enterprise Certified Architect Practice Test

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Prepare for the Splunk Enterprise Certified Architect Exam. Utilize flashcards and multiple choice questions, complete with hints and detailed explanations. Ace your Splunk Architect exam!

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When adding or decommissioning a member from a Search Head Cluster (SHC), what is the proper order of operations?

1. Delete Splunk Enterprise, if it exists. 2. Install and initialize the instance. 3. Join the SHC.
1. Install and initialize the instance. 2. Delete Splunk Enterprise, if it exists. 3. Join the SHC.
1. Initialize cluster rebalance operation. 2. Remove master node from cluster. 3. Trigger replication.
1. Trigger replication. 2. Remove master node from cluster. 3. Initialize cluster rebalance operation.

The correct answer is: 1. Delete Splunk Enterprise, if it exists. 2. Install and initialize the instance. 3. Join the SHC.

The correct sequence for properly adding or decommissioning a member from a Search Head Cluster (SHC) is essential for maintaining data integrity and operational continuity. Starting with the first step of deleting any existing Splunk Enterprise installation ensures that you are beginning the process with a clean slate. This is crucial because residual configurations, data, or processes from a previous installation could lead to conflicts, complications, or inconsistencies in the clustering process. Following that, installing and initializing the new instance is necessary to set up the environment that will integrate into the Search Head Cluster. The final step of joining the SHC appropriately integrates this new member into the existing cluster, allowing it to collaborate effectively with the other search heads. This order of operations is fundamental to ensuring that the new instance is correctly configured and free from any pre-existing configurations that could interfere with its functioning within the cluster. The other choices involve either initializing or removing elements in a manner that does not align with Splunk's best practices for cluster management, which could lead to issues like data inconsistency or improper cluster configuration.