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| Section | Weight | Objectives |
|---|---|---|
| Forwarder & Deployment Best Practices | 6% | - Deployment server and configuration management - Forwarder tier design and configuration - Data collection and forwarding optimization |
| Infrastructure Planning | 12% | - Index design, retention, and data management - Resource sizing: CPU, memory, storage, network - Topology design for ES, ITSI, and security |
| Multisite Indexer Cluster | 8% | - Geographic deployment planning - Configuration and cross-site operations - Disaster recovery and high availability |
| Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - App bundle distribution and management - Peer node maintenance and decommission |
| Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Configuration and deployment - Upgrade and migration considerations |
| Troubleshooting Methodology & Tools | 14% | - Cluster and forwarding problem resolution - Resolve configuration, search, and deployment issues - Diagnostic tools and Splunk support model - Log analysis and internal indexes |
| Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Storage and replication requirements - Indexer cluster fundamentals |
| Deployment Planning & Requirements Definition | 7% | - Identify relevant applications and solutions - Define deployment methodology and process - Collect and analyze project and environment requirements |
| Search Head Cluster | 8% | - Architecture and deployment - Deployer and captaincy management - Scaling and member lifecycle management |
| Large-Scale Deployment Design | 5% | - Security and compliance design - Enterprise architecture patterns - High availability and scalability |
| Performance Monitoring & Tuning | 5% | - Configuration tuning: limits.conf, indexes.conf, props.conf - Search performance optimization - System and indexer performance monitoring |
>> Latest Study SPLK-2002 Questions <<
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NEW QUESTION # 185
Other than high availability, which of the following is a benefit of search head clustering?
Answer: C
Explanation:
According to the Splunk documentation1, one of the benefits of search head clustering is the automatic replication of user knowledge objects, such as dashboards, reports, alerts, and tags. This ensures that all cluster members have the same set of knowledge objects and can serve the same search results to the users. The other options are false because:
* Allowing indexers to maintain multiple searchable copies of all data is a benefit of indexer clustering, not search head clustering2.
* Input settings are not synchronized between search heads, as search head clusters do not collect data from inputs. Data collection is done by forwarders or independent search heads3.
* Fewer network ports are not required to be opened between search heads, as search head clusters use several ports for communication and replication among the members4.
NEW QUESTION # 186
Of the following types of files within an index bucket, which file type may consume the most disk?
Answer: B
NEW QUESTION # 187
Configurations from the deployer are merged into which location on the search head cluster member?
Answer: A
Explanation:
Configurations from the deployer are merged into the SPLUNK_HOME/etc/apps/APP_HOME/local directory on the search head cluster member. The deployer distributes apps and other configurations to the search head cluster members in the form of a configuration bundle. The configuration bundle contains the contents of the SPLUNK_HOME/etc/shcluster/apps directory on the deployer. When a search head cluster member receives the configuration bundle, it merges the contents of the bundle into its own SPLUNK_HOME
/etc/apps directory. The configurations in the local directory take precedence over the configurations in the default directory. The SPLUNK_HOME/etc/system/local directory is used for system-level configurations, not app-level configurations. The SPLUNK_HOME/etc/apps/search/default directory is used for the default configurations of the search app, not the configurations from the deployer.
NEW QUESTION # 188
Splunk Enterprise performs a cyclic redundancy check (CRC) against the first and last bytes to prevent the same file from being re-indexed if it is rotated or renamed. What is the number of bytes sampled by default?
Answer: D
Explanation:
Splunk Enterprise performs a CRC check against the first and last 256 bytes of a file by default, as stated in the inputs.conf specification. This is controlled by the initCrcLength parameter, which can be changed if needed. The CRC check helps Splunk Enterprise to avoid re-indexing the same file twice, even if it is renamed or rotated, as long as the content does not change. However, this also means that Splunk Enterprise might miss some files that have the same CRC but different content, especially if they have identical headers.
To avoid this, the crcSalt parameter can be used to add some extra information to the CRC calculation, such as the full file path or a custom string. This ensures that each file has a unique CRC and is indexed by Splunk Enterprise. You can read more about crcSalt and initCrcLength in the How log file rotation is handled documentation.
NEW QUESTION # 189
Which Splunk internal field can confirm duplicate event issues from failed file monitoring?
Answer: A
Explanation:
According to the Splunk documentation1, the _indextime field is the time when Splunk indexed the event.
This field can be used to confirm duplicate event issues from failed file monitoring, as it can show you when each duplicate event was indexed and if they have different _indextime values. You can use the Search Job Inspector to inspect the search job that returns the duplicate events and check the _indextime field for each event2. The other options are false because:
* The _time field is the time extracted from the event data, not the time when Splunk indexed the event. This field may not reflect the actual indexing time, especially if the event data has a different time zone or format than the Splunk server1.
* The _index_latest field is not a valid Splunk internal field, as it does not exist in the Splunk documentation or the Splunk data model3.
* The latest field is a field that represents the latest time bound of a search, not the time when Splunk indexed the event. This field is used to specify the time range of a search, along with the earliest field4.
NEW QUESTION # 190
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