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| Section | Objectives |
|---|---|
| Managing Search Heads | - Describe the deployment of apps to search heads - Describe search head pooling and clustering - Explain the configuration of search heads |
| Troubleshooting a Splunk Deployment | - Describe troubleshooting techniques - Identify common issues and error messages - Explain the use of internal logs |
| Data Collection and Ingestion | - Describe data routing and filtering - Describe data collection techniques - Explain the use of Indexers and Heavy Forwarders |
| Configuring Distributed Search | - Describe the operation of distributed search - Define search head clustering - Explain the role of search heads and indexers |
| Introducing Splunk Architecture | - Identify Splunk components - Identify the roles of each component - Describe the relationship between components |
| Managing Forwarders | - Describe the types of forwarders - Identify configuration methods - Explain forwarder management |
| Planning and Designing a Splunk Deployment | - List the data and resource requirements - Describe the key planning and design considerations - Determine the appropriate license volume and type |
| Monitoring and Scaling a Splunk Deployment | - Identify monitoring tools and dashboards - Describe scaling strategies - Explain resource allocation and performance tuning |
| Managing Indexers and Indexer Clusters | - Describe indexer cluster architecture - Describe methods for troubleshooting indexer clusters - Explain the management of indexer configurations |
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質問 # 189
The KV store forms its own cluster within a SHC. What is the maximum number of SHC members KV store will form?
正解：A
解説：
Explanation
The KV store forms its own cluster within a SHC. The maximum number of SHC members KV store will form is 50. The KV store cluster is a subset of the SHC members that are responsible for replicating and storing the KV store data. The KV store cluster can have up to 50 members, but only 20 of them can be active at any given time. The other members are standby members that can take over if an active member fails. The KV store cluster cannot have more than 50 members, nor can it have an unlimited number of members. The KV store cluster cannot have 25 or 100 members, because these numbers are not multiples of 5, which is the minimum replication factor for the KV store cluster
質問 # 190
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.)
正解：A、D
解説：
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
質問 # 191
Consider a use case involving firewall data. There is no Splunk-supported Technical Add-On, but the vendor has built one. What are the items that must be evaluated before installing the add-on? (Select all that apply.)
正解：A、B
解説：
A Technical Add-On (TA) is a Splunk app that contains configurations for data collection, parsing, and enrichment. It can also enable event data for a data model, which is useful for creating dashboards and reports.
Therefore, before installing a TA, it is important to identify the number of scheduled or real-time searches that will use the data model, and to validate if the TA enables event data for a data model. The number of forwarders that the TA can support is not relevant, as the TA is installed on the indexer or search head, not on the forwarder. The installation location of the TA depends on the type of data and the use case, so it is not a fixed requirement
質問 # 192
Which of the following clarification steps should be taken if apps are not appearing on a deployment client?
(Select all that apply.)
正解：B、C、D
解説：
Explanation/Reference: https://answers.splunk.com/answers/177021/why-is-deployment-client-not-picking-up-changes- to.html
質問 # 193
A customer has a four site indexer cluster. The customer has requirements to store five copies of searchable data, with one searchable copy of data at the origin site, and one searchable copy at the disaster recovery site (site4).
Which configuration meets these requirements?
正解：D
解説：
The correct configuration to meet the customer's requirements is site_replication_factor = origin:1, site4:1, total:5. This means that each bucket will have one copy at the origin site, one copy at the disaster recovery site (site4), and three copies at any other sites. The total number of copies will be five, as required by the customer. The site_replication_factor determines how many copies of each bucket are stored across the sites in a multisite indexer cluster1. The site_search_factor determines how many copies of each bucket are searchable across the sites in a multisite indexer cluster2. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Configure the site replication factor 2: Configure the site search factor
質問 # 194
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