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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What information is required to calculate daily disk consumption for an indexer if indexer clustering is implemented?

Total daily indexing volume, number of peer nodes, and number of accelerated searches
Total daily indexing volume, number of peer nodes, replication factor, and search factor
Total daily indexing volume, replication factor, search factor, and number of search heads
Replication factor, search factor, number of accelerated searches, and total disk size across cluster

The correct answer is: Total daily indexing volume, number of peer nodes, replication factor, and search factor

To calculate daily disk consumption for an indexer in an environment where indexer clustering is implemented, it is crucial to consider several key factors that directly impact storage requirements. The total daily indexing volume represents the amount of new data being indexed daily, which directly contributes to disk usage. The number of peer nodes is essential because the data is distributed across these nodes within the cluster. Understanding how many nodes are participating helps in determining the effective utilization of storage resources. Both the replication factor and the search factor are critical for maintaining data durability and availability within the clustered setup. The replication factor indicates how many copies of the data are maintained across different nodes for redundancy. Higher replication increases the disk consumption since more copies of the data will be stored. The search factor, while primarily affecting how many copies are available for search operations, indirectly influences disk usage as it complements the replication factor. In summary, to effectively gauge daily disk consumption within an indexer cluster, it is necessary to account for the total daily indexing volume, the number of peer nodes, the replication factor, and the search factor. These components collectively outline the storage requirements necessary for accommodating the data efficiently while ensuring high availability and resilience in the system.