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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Large-Scale Deployment Design | 5% | - Enterprise architecture patterns - High availability and scalability - Security and compliance design |
| Topic 2: Search Head Cluster | 8% | - Deployer and captaincy management - Architecture and deployment - Scaling and member lifecycle management |
| Topic 3: Performance Monitoring & Tuning | 5% | - Configuration tuning: limits.conf, indexes.conf, props.conf - Search performance optimization - System and indexer performance monitoring |
| Topic 4: Deployment Planning & Requirements Definition | 7% | - Collect and analyze project and environment requirements - Identify relevant applications and solutions - Define deployment methodology and process |
| Topic 5: Troubleshooting Methodology & Tools | 14% | - Diagnostic tools and Splunk support model - Resolve configuration, search, and deployment issues - Log analysis and internal indexes - Cluster and forwarding problem resolution |
| Topic 6: Multisite Indexer Cluster | 8% | - Configuration and cross-site operations - Geographic deployment planning - Disaster recovery and high availability |
| Topic 7: Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management |
| Topic 8: Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - Peer node maintenance and decommission - App bundle distribution and management |
| Topic 9: Forwarder & Deployment Best Practices | 6% | - Deployment server and configuration management - Data collection and forwarding optimization - Forwarder tier design and configuration |
| Topic 10: Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Configuration and deployment - Upgrade and migration considerations |
| Topic 11: Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Storage and replication requirements - Indexer cluster fundamentals |
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NEW QUESTION # 109
Which component in the splunkd.log will log information related to bad event breaking?
Answer: A
Explanation:
Explanation
The AggregatorMiningProcessor component in the splunkd.log file will log information related to bad event breaking. The AggregatorMiningProcessor is responsible for breaking the incoming data into events and applying the props.conf settings. If there is a problem with the event breaking, such as incorrect timestamps, missing events, or merged events, the AggregatorMiningProcessor will log the error or warning messages in the splunkd.log file. The Audittrail component logs information about the audit events, such as user actions, configuration changes, and search activity. The EventBreaking component logs information about the event breaking rules, such as the LINE_BREAKER and SHOULD_LINEMERGE settings. The IndexingPipeline component logs information about the indexing pipeline, such as the parsing, routing, and indexing phases.
For more information, see About Splunk Enterprise logging and [Configure event line breaking] in the Splunk documentation.
NEW QUESTION # 110
Which of the following would be the least helpful in troubleshooting contents of Splunk configuration files?
Answer: D
Explanation:
Splunk configuration files are files that contain settings that control various aspects of Splunk behavior, such as data inputs, outputs, indexing, searching, clustering, and so on1. Troubleshooting Splunk configuration files involves identifying and resolving issues that affect the functionality or performance of Splunk due to incorrect or conflicting configuration settings. Some of the tools and methods that can help with troubleshooting Splunk configuration files are:
* search.log: This is a file that contains detailed information about the execution of a search, such as the search pipeline, the search commands, the search results, the search errors, and the search performance2. This file can help troubleshoot issues related to search configuration, such as props.conf, transforms.conf, macros.conf, and so on3.
* btool output: This is a command-line tool that displays the effective configuration settings for a given Splunk component, such as inputs, outputs, indexes, props, and so on4. This tool can help troubleshoot issues related to configuration precedence, inheritance, and merging, as well as identify the source of a configuration setting5.
* diagnostic logs: These are files that contain information about the Splunk system, such as the Splunk version, the operating system, the hardware, the license, the indexes, the apps, the users, the roles, the permissions, the configuration files, the log files, and the metrics6. These files can help troubleshoot issues related to Splunk installation, deployment, performance, and health7.
Option A is the correct answer because crash logs are the least helpful in troubleshooting Splunk configuration files. Crash logs are files that contain information about the Splunk process when it crashes, such as the stack trace, the memory dump, and the environment variables8. These files can help troubleshoot issues related to Splunk stability, reliability, and security, but not necessarily related to Splunk configuration9.
References:
1: About configuration files - Splunk Documentation 2: Use the search.log file - Splunk Documentation 3: Troubleshoot search-time field extraction - Splunk Documentation 4: Use btool to troubleshoot configurations - Splunk Documentation 5: Troubleshoot configuration issues - Splunk Documentation 6: About the diagnostic utility - Splunk Documentation 7: Use the diagnostic utility - Splunk Documentation 8: About crash logs - Splunk Documentation 9: [Troubleshoot Splunk Enterprise crashes - Splunk Documentation]
NEW QUESTION # 111
When adding or decommissioning a member from a Search Head Cluster (SHC), what is the proper order of operations?
Answer: D
NEW QUESTION # 112
A customer is migrating 500 Universal Forwarders from an old deployment server to a new deployment server, with a different DNS name. The new deployment server is configured and running.
The old deployment server deployed an app containing an updated deploymentclient.conf file to all forwarders, pointing them to the new deployment server. The app was successfully deployed to all 500 forwarders.
Why would all of the forwarders still be phoning home to the old deployment server?
Answer: B
Explanation:
All of the forwarders would still be phoning home to the old deployment server, because the forwarders are configured to use the old deployment server in $SPLUNK_HOME/etc/system/local. This is the local configuration directory that contains the settings that override the default settings in $SPLUNK_HOME/etc
/system/default. The deploymentclient.conf file in the local directory specifies the targetUri of the deployment server that the forwarder contacts for configuration updates and apps. If the forwarders have the old deployment server's targetUri in the local directory, they will ignore the updated deploymentclient.conf file that was deployed by the old deployment server, because the local settings have higher precedence than the deployed settings. To fix this issue, the forwarders should either remove the deploymentclient.conf file from the local directory, or update it with the new deployment server's targetUri. Option C is the correct answer.
Option A is incorrect because a version mismatch between the forwarders and the new deployment server would not prevent the forwarders from phoning home to the new deployment server, as long as they are compatible versions. Option B is incorrect because the new deployment server is configured and running, and there is no indication that it is not accepting connections from the forwarders. Option D is incorrect because the pass4SymmKey is the shared secret key that the deployment server and the forwarders use to authenticate each other. It does not affect the forwarders' ability to phone home to the new deployment server, as long as it is the same on both sides12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Updating/Configuredeploymentclients 2: https://docs.
splunk.com/Documentation/Splunk/9.1.2/Admin/Wheretofindtheconfigurationfiles
NEW QUESTION # 113
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: A,B
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 # 114
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