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| Section | Objectives |
|---|---|
| Indexer Clustering | - Cluster master configuration - Replication and search factor management - Failure recovery and resilience |
| Splunk Architecture Fundamentals | - Data flow and pipeline architecture - Distributed architecture concepts - Forwarder and indexer roles |
| Search Head Architecture | - Search head clustering - Knowledge object distribution - Search performance optimization |
| Data Management and Indexing | - Parsing and indexing process - Index configuration and management - Data retention and lifecycle management |
| Security and Authentication | - Encryption and data protection - Authentication mechanisms - Role-based access control (RBAC) |
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NEW QUESTION # 88
(Where can files be placed in a configuration bundle on a search peer that will persist after a new configuration bundle has been deployed?)
Answer: C
Explanation:
According to the Indexer Clustering Administration Guide, configuration bundles pushed from the Cluster Manager (Master Node) overwrite the contents of the $SPLUNK_HOME/etc/slave-apps/ directory on each search peer (indexer). However, Splunk provides a special persistent location - the _cluster app's local directory - for files that must survive bundle redeployments.
Specifically, any configuration files placed in:
$SPLUNK_HOME/etc/slave-apps/_cluster/local/
will persist after future bundle pushes because this directory is excluded from the automatic overwrite process.
This is particularly useful for maintaining local overrides or custom configurations that should not be replaced by the Cluster Manager, such as environment-specific inputs, temporary test settings, or monitoring configurations unique to that peer.
Other directories under slave-apps are overwritten each time a configuration bundle is pushed, ensuring consistency across the cluster. Likewise, master-apps exists only on the Cluster Manager and is used for deployment, not persistence.
Thus, the _cluster/local folder is the only safe, Splunk-documented location for configurations that need to survive bundle redeployment.
References (Splunk Enterprise Documentation):
* Indexer Clustering: How Configuration Bundles Work
* Maintaining Local Configurations on Clustered Indexers
* slave-apps and _cluster App Structure and Behavior
* Splunk Enterprise Admin Manual - Cluster Configuration Management Best Practices
NEW QUESTION # 89
When adding or rejoining a member to a search head cluster, the following error is displayed:
Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
What corrective action should be taken?
Answer: C
Explanation:
Explanation
When adding or rejoining a member to a search head cluster, and the following error is displayed: Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
The corrective action that should be taken is to run the splunk resync shcluster-replicated-config command on this member. This command will delete the existing configuration files on this member and replace them with the latest configuration files from the captain. This will ensure that the member has the same configuration as the rest of the cluster. Restarting the search head, running the splunk apply shcluster-bundle command from the deployer, or running the clean raft command on all members of the search head cluster are not the correct actions to take in this scenario. For more information, see Resolve configuration inconsistencies across cluster members in the Splunk documentation.
NEW QUESTION # 90
What is the logical first step when starting a deployment plan?
Answer: A
Explanation:
Explanation
The logical first step when starting a deployment plan is to collect the initial requirements for the deployment from all stakeholders. This includes identifying the business objectives, the data sources, the use cases, the security and compliance needs, the scalability and availability expectations, and the budget and timeline constraints. Collecting the initial requirements helps to define the scope and the goals of the deployment, and to align the expectations of all the parties involved.
Inventorying the currently deployed logging infrastructure, determining what apps and use cases will be implemented, and gathering statistics on the expected adoption of Splunk for sizing are all important steps in the deployment planning process, but they are not the logical first step. These steps can be done after collecting the initial requirements, as they depend on the information gathered from the stakeholders.
NEW QUESTION # 91
A customer currently has many deployment clients being managed by a single, dedicated deployment server.
The customer plans to double the number of clients.
What could be done to minimize performance issues?
Answer: D
Explanation:
According to the Splunk documentation1, increasing the current deployment client phone home interval can minimize performance issues by reducing the frequency of communication between the clients and the deployment server. This can also reduce the network traffic and the load on the deployment server. The other options are false because:
* Modifying deploymentclient.conf to change from a Pull to Push mechanism is not possible, as Splunk does not support a Push mechanism for deployment server2.
* Reducing the number of apps in the Manager Node repository will not affect the performance of the deployment server, as the apps are only downloaded when there is a change in the configuration or a new app is added3.
* Decreasing the current deployment client phone home interval will increase the performance issues, as it will increase the frequency of communication between the clients and the deployment server, resulting in more network traffic and load on the deployment server1.
NEW QUESTION # 92
Which Splunk cluster feature requires additional indexer storage?
Answer: B
Explanation:
Comprehensive and Detailed Explanation (From Splunk Enterprise Documentation)Splunk's documentation on summary indexing and data-model acceleration clarifies that summary data is stored as additional indexed data on the indexers. Summary indexing produces new events-aggregations, rollups, scheduled search outputs-and stores them in summary indexes. Splunk explains that these summaries accumulate over time and require additional bucket storage, retention considerations, and sizing adjustments.
The documentation for accelerated data models further confirms that acceleration summaries are stored alongside raw data on indexers, increasing disk usage proportional to the acceleration workload. This makes summary indexing the only listed feature that strictly increases indexer storage demand.
In contrast, Search Head Clustering replicates configuration and knowledge objects across search heads-not on indexers. Indexer Discovery affects forwarder behavior, not storage. Indexer Acknowledgement controls data-delivery guarantees but does not create extra indexed content.
Therefore, only Index Summarization (summary indexing) directly increases indexer storage requirements.
References:Splunk Summary Indexing Documentation; Splunk Data Model Acceleration Guidelines; Splunk Storage and Capacity Planning Documentation.
NEW QUESTION # 93
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