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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Indexer Cluster Administration & Operations | 7% | - Peer node maintenance and decommission - Storage management and monitoring - App bundle distribution and management |
| Topic 2: Single-site Indexer Cluster | 8% | - Upgrade and migration considerations - Replication factor, search factor, and management - Configuration and deployment |
| Topic 3: Large-Scale Deployment Design | 5% | - High availability and scalability - Security and compliance design - Enterprise architecture patterns |
| Topic 4: Multisite Indexer Cluster | 8% | - Configuration and cross-site operations - Geographic deployment planning - Disaster recovery and high availability |
| Topic 5: Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management |
| Topic 6: Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Storage and replication requirements - Indexer cluster fundamentals |
| Topic 7: Deployment Planning & Requirements Definition | 7% | - Define deployment methodology and process - Collect and analyze project and environment requirements - Identify relevant applications and solutions |
| Topic 8: Forwarder & Deployment Best Practices | 6% | - Data collection and forwarding optimization - Forwarder tier design and configuration - Deployment server and configuration management |
| Topic 9: Performance Monitoring & Tuning | 5% | - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring |
| Topic 10: Troubleshooting Methodology & Tools | 14% | - Resolve configuration, search, and deployment issues - Log analysis and internal indexes - Cluster and forwarding problem resolution - Diagnostic tools and Splunk support model |
| Topic 11: Search Head Cluster | 8% | - Deployer and captaincy management - Architecture and deployment - Scaling and member lifecycle management |
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NEW QUESTION # 119
Which of the following Splunk deployments has the recommended minimum components for a high-availability search head cluster?
Answer: C
Explanation:
The correct Splunk deployment to have the recommended minimum components for a high-availability search head cluster is 3 search heads, 1 deployer, 3 indexers. This configuration ensures that the search head cluster has at least three members, which is the minimum number required for a quorum and failover1. The deployer is a separate instance that manages the configuration updates for the search head cluster2. The indexers are the nodes that store and index the data, and having at least three of them provides redundancy and load balancing3. The other options are not recommended, as they either have less than three search heads or less than three indexers, which reduces the availability and reliability of the cluster. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: About search head clusters 2: Use the deployer to distribute apps and configuration updates 3: About indexer clusters and index replication
NEW QUESTION # 120
Splunk configuration parameter settings can differ between multiple .conf files of the same name contained within different apps. Which of the following directories has the highest precedence?
Answer: D
Explanation:
Explanation
The system local directory has the highest precedence among the following directories that contain Splunk configuration files of the same name within different apps. Splunk configuration files are stored in various directories under the SPLUNK_HOME/etc directory. The precedence of these directories determines which configuration file settings take effect when there are conflicts or overlaps. The system local directory, which is located at SPLUNK_HOME/etc/system/local, has the highest precedence among all directories, because it contains the system-level configurations that are specific to the instance. The system default directory, which is located at SPLUNK_HOME/etc/system/default, has the lowest precedence among all directories, because it contains the system-level configurations that are provided by Splunk and should not be modified. The app local directories, which are located at SPLUNK_HOME/etc/apps/APP_NAME/local, have a higher precedence than the app default directories, which are located at SPLUNK_HOME/etc/apps/APP_NAME/default, because the local directories contain the app-level configurations that are specific to the instance, while the default directories contain the app-level configurations that are provided by the app and should not be modified. The app local and default directories have different precedences depending on the ASCII order of the app names, with the app names that come later in the ASCII order having higher precedences.
NEW QUESTION # 121
How does the average run time of all searches relate to the available CPU cores on the indexers?
Answer: A
Explanation:
The average run time of all searches increases as the number of CPU cores on the indexers decreases. The CPU cores are the processing units that execute the instructions and calculations for the data. The number of CPU cores on the indexers affects the search performance, because the indexers are responsible for retrieving and filtering the data from the indexes. The more CPU cores the indexers have, the faster they can process the data and return the results. The less CPU cores the indexers have, the slower they can process the data and return the results. Therefore, the average run time of all searches is inversely proportional to the number of CPU cores on the indexers. The average run time of all searches is not independent of the number of CPU cores on the indexers, because the CPU cores are an important factor for the search performance. The average run time of all searches does not decrease as the number of CPU cores on the indexers decreases, because this would imply that the search performance improves with less CPU cores, which is not true. The average run time of all searches does not increase as the number of CPU cores on the indexers increases, because this would imply that the search performance worsens with more CPU cores, which is not true
NEW QUESTION # 122
Which server.conf attribute should be added to the master node's server.conf file when decommissioning a site in an indexer cluster?
Answer: D
Explanation:
The site_mappings attribute should be added to the master node's server.conf file when decommissioning a site in an indexer cluster. The site_mappings attribute is used to specify how the master node should reassign the buckets from the decommissioned site to the remaining sites. The site_mappings attribute is a comma-separated list of site pairs, where the first site is the decommissioned site and the second site is the destination site. For example, site_mappings = site1:site2,site3:site4 means that the buckets from site1 will be moved to site2, and the buckets from site3 will be moved to site4. The available_sites attribute is used to specify which sites are currently available in the cluster, and it is automatically updated by the master node. The site_search_factor and site_replication_factor attributes are used to specify the number of searchable and replicated copies of each bucket for each site, and they are not affected by the decommissioning process
NEW QUESTION # 123
A Splunk user successfully extracted an ip address into a field called src_ip. Their colleague cannot see that field in their search results with events known to have src_ip. Which of the following may explain the problem? (Select all that apply.)
Answer: B,C
Explanation:
The following may explain the problem of why a colleague cannot see the src_ip field in their search results:
The field was extracted as a private knowledge object, and the colleague did not explicitly use the field in the search and the search was set to Fast Mode. A knowledge object is a Splunk entity that applies some knowledge or intelligence to the data, such as a field extraction, a lookup, or a macro. A knowledge object can have different permissions, such as private, app, or global. A private knowledge object is only visible to the user who created it, and it cannot be shared with other users. A field extraction is a type of knowledge object that extracts fields from the raw data at index time or search time. If a field extraction is created as a private knowledge object, then only the user who created it can see the extracted field in their search results. A search mode is a setting that determines how Splunk processes and displays the search results, such as Fast, Smart, or Verbose. Fast mode is the fastest and most efficient search mode, but it also limits the number of fields and events that are displayed. Fast mode only shows the default fields, such as _time, host, source, sourcetype, and
_raw, and any fields that are explicitly used in the search. If a field is not used in the search and it is not a default field, then it will not be shown in Fast mode. The events are tagged as communicate, but are missing the network tag, and the Typing Queue, which does regular expression replacements, is blocked, are not valid explanations for the problem. Tags are labels that can be applied to fields or field values to make them easier to search. Tags do not affect the visibility of fields, unless they are used as filters in the search. The Typing Queue is a component of the Splunk data pipeline that performs regular expression replacements on the data, such as replacing IP addresses with host names. The Typing Queue does not affect the field extraction process, unless it is configured to do so
NEW QUESTION # 124
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