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| Section | Objectives |
|---|---|
| Topic 1: Indexer Clustering | - Failure recovery and resilience - Cluster master configuration - Replication and search factor management |
| Topic 2: Splunk Architecture Fundamentals | - Data flow and pipeline architecture - Forwarder and indexer roles - Distributed architecture concepts |
| Topic 3: Data Management and Indexing | - Data retention and lifecycle management - Index configuration and management - Parsing and indexing process |
| Topic 4: Search Head Architecture | - Search performance optimization - Knowledge object distribution - Search head clustering |
| Topic 5: Security and Authentication | - Authentication mechanisms - Role-based access control (RBAC) - Encryption and data protection |
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質問 # 152
Why should intermediate forwarders be avoided when possible?
正解：C
解説：
Intermediate forwarders are forwarders that receive data from other forwarders and then send that data to indexers. They can be useful in some scenarios, such as when network bandwidth or security constraints prevent direct forwarding to indexers, or when data needs to be routed, cloned, or modified in transit.
However, intermediate forwarders also introduce additional complexity and overhead to the data pipeline, which can affect the performance and reliability of data ingestion. Therefore, intermediate forwarders should be avoided when possible, and used only when there is a clear benefit or requirement for them. Some of the drawbacks of intermediate forwarders are:
* They increase the number of hops and connections in the data flow, which can introduce latency and increase the risk of data loss or corruption.
* They consume more resources on the hosts where they run, such as CPU, memory, disk, and network bandwidth, which can affect the performance of other applications or processes on those hosts.
* They require additional configuration and maintenance, such as setting up inputs, outputs, load balancing, security, monitoring, and troubleshooting.
* They can create data duplication or inconsistency if they are not configured properly, such as when using cloning or routing rules.
Some of the references that support this answer are:
* Configure an intermediate forwarder, which states: "Intermediate forwarding is where a forwarder receives data from one or more forwarders and then sends that data on to another indexer. This kind of setup is useful when, for example, you have many hosts in different geographical regions and you want to send data from those forwarders to a central host in that region before forwarding the data to an indexer. All forwarder types can act as an intermediate forwarder. However, this adds complexity to your deployment and can affect performance, so use it only when necessary."
* Intermediate data routing using universal and heavy forwarders, which states: "This document outlines a variety of Splunk options for routing data that address both technical and business requirements.
Overall benefits Using splunkd intermediate data routing offers the following overall benefits: ... The routing strategies described in this document enable flexibility for reliably processing data at scale.
Intermediate routing enables better security in event-level data as well as in transit. The following is a list of use cases and enablers for splunkd intermediate data routing: ... Limitations splunkd intermediate data routing has the following limitations: ... Increased complexity and resource consumption. splunkd intermediate data routing adds complexity to the data pipeline and consumes resources on the hosts where it runs. This can affect the performance and reliability of data ingestion and other applications or processes on those hosts. Therefore, intermediate routing should be avoided when possible, and used only when there is a clear benefit or requirement for it."
* Use forwarders to get data into Splunk Enterprise, which states: "The forwarders take the Apache data and send it to your Splunk Enterprise deployment for indexing, which consolidates, stores, and makes the data available for searching. Because of their reduced resource footprint, forwarders have a minimal performance impact on the Apache servers. ... Note: You can also configure a forwarder to send data to another forwarder, which then sends the data to the indexer. This is called intermediate forwarding.
However, this adds complexity to your deployment and can affect performance, so use it only when necessary."
質問 # 153
(How is the search log accessed for a completed search job?)
正解：A
解説：
According to the Splunk Search Job Inspector documentation, the search.log file for a completed search job can be accessed through Splunk Web by navigating to the job's detailed inspection view.
To access it:
* Open the completed search in Splunk Web.
* Click the Job menu (top right of the search interface).
* Select Inspect Job.
* In the Job Inspector window, click the search.log link.
This log provides in-depth diagnostic details about how the search was parsed, distributed, and executed across the search head and indexers. It contains valuable performance metrics, command execution order, event sampling information, and any error or warning messages encountered during search processing.
The search.log file is generated for every search job-scheduled, ad-hoc, or background-and is stored in the job's dispatch directory ($SPLUNK_HOME/var/run/splunk/dispatch/<search_id>/).
Other listed options are incorrect:
* Option A queries the _internal index, which does not store per-search logs.
* Option B is used to view search configurations, not logs.
* Option C is not a valid Splunk Web navigation option.
Thus, the only correct and Splunk-documented method is via Job # Inspect Job # search.log.
References (Splunk Enterprise Documentation):
* Search Job Inspector Overview and Usage
* Analyzing Search Performance Using search.log
* Search Job Management and Dispatch Directory Structure
* Splunk Enterprise Admin Manual - Troubleshooting Searches
質問 # 154
Which of the following clarification steps should be taken if apps are not appearing on a deployment client?
(Select all that apply.)
正解：A、B、D
解説：
The following clarification steps should be taken if apps are not appearing on a deployment client:
* Check serverclass.conf of the deployment server. This file defines the server classes and the apps and configurations that they should receive from the deployment server. Make sure that the deployment client belongs to the correct server class and that the server class has the desired apps and configurations.
* Check deploymentclient.conf of the deployment client. This file specifies the deployment server that the
* deployment client contacts and the client name that it uses. Make sure that the deployment client is pointing to the correct deployment server and that the client name matches the server class criteria.
* Search for relevant events in splunkd.log of the deployment server. This file contains information about the deployment server activities, such as sending apps and configurations to the deployment clients, detecting client check-ins, and logging any errors or warnings. Look for any events that indicate a problem with the deployment server or the deployment client.
* Checking the content of SPLUNK_HOME/etc/apps of the deployment server is not a necessary clarification step, as this directory does not contain the apps and configurations that are distributed to the deployment clients. The apps and configurations for the deployment server are stored in SPLUNK_HOME/etc/deployment-apps. For more information, see Configure deployment server and clients in the Splunk documentation.
質問 # 155
(Where can files be placed in a configuration bundle on a search peer that will persist after a new configuration bundle has been deployed?)
正解：D
解説：
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
質問 # 156
What is the best method for sizing or scaling a search head cluster?
正解：C
解説：
According to the Splunk blog1, the best method for sizing or scaling a search head cluster is to estimate the maximum concurrent number of searches and divide by the number of CPU cores per search head. This gives you an idea of how many search heads you need to handle the peak search load without overloading the CPU resources. The other options are false because:
* Estimating the maximum daily ingest volume in gigabytes and dividing by the number of CPU cores per search head is not a good method for sizing or scaling a search head cluster, as it does not account for the complexity and frequency of the searches. The ingest volume is more relevant for sizing or scaling the indexers, not the search heads2.
* Estimating the total number of searches per day and dividing by the number of CPU cores available on the search heads is not a good method for sizing or scaling a search head cluster, as it does not account for the concurrency and duration of the searches. The total number of searches per day is an average metric that does not reflect the peak search load or the search performance2.
* Dividing the number of indexers by three to achieve the correct number of search heads is not a good method for sizing or scaling a search head cluster, as it does not account for the search load or the search head capacity. The number of indexers is not directly proportional to the number of search heads, as different types of data and searches may require different amounts of resources2.
質問 # 157
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