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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Large-Scale Deployment Design | 5% | - High availability and scalability - Enterprise architecture patterns - Security and compliance design |
| Topic 2: Performance Monitoring & Tuning | 5% | - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring |
| Topic 3: Multisite Indexer Cluster | 8% | - Disaster recovery and high availability - Geographic deployment planning - Configuration and cross-site operations |
| Topic 4: Single-site Indexer Cluster | 8% | - Upgrade and migration considerations - Replication factor, search factor, and management - Configuration and deployment |
| Topic 5: Troubleshooting Methodology & Tools | 14% | - Cluster and forwarding problem resolution - Diagnostic tools and Splunk support model - Resolve configuration, search, and deployment issues - Log analysis and internal indexes |
| Topic 6: Forwarder & Deployment Best Practices | 6% | - Deployment server and configuration management - Data collection and forwarding optimization - Forwarder tier design and configuration |
| Topic 7: Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - App bundle distribution and management - Peer node maintenance and decommission |
| Topic 8: Search Head Cluster | 8% | - Deployer and captaincy management - Scaling and member lifecycle management - Architecture and deployment |
| Topic 9: Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Indexer cluster fundamentals - Storage and replication requirements |
| Topic 10: Infrastructure Planning | 12% | - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management - Topology design for ES, ITSI, and security |
| Topic 11: Deployment Planning & Requirements Definition | 7% | - Collect and analyze project and environment requirements - Identify relevant applications and solutions - Define deployment methodology and process |
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NEW QUESTION # 198
Which Splunk log file would be the least helpful in troubleshooting a crash?
Answer: B
Explanation:
The splunk_instrumentation.log file is the least helpful in troubleshooting a crash, because it contains information about the Splunk Instrumentation feature, which collects and sends usage data to Splunk Inc. for product improvement purposes. This file does not contain any information about the Splunk processes, errors, or crashes. The other options are more helpful in troubleshooting a crash, because they contain relevant information about the Splunk daemon, the standard error output, and the crash report12
1:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/WhatSplunklogsaboutitself#splunk_instru
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/WhatSplunklogsaboutitself#splunkd_stde
NEW QUESTION # 199
Data for which of the following indexes will count against an ingest-based license?
Answer: A
Explanation:
Splunk Enterprise licensing is based on the amount of data that is ingested and indexed by the Splunk platform per day1. The data that counts against the license is the data that is stored in the indexes that are visible to the users and searchable by the Splunk software2. The indexes that are visible and searchable by default are the main index and any custom indexes that are created by the users or the apps3. The main index is the default index where Splunk Enterprise stores all data, unless otherwise specified4.
Option B is the correct answer because the data for the main index will count against the ingest-based license, as it is a visible and searchable index by default. Option A is incorrect because the summary index is a special type of index that stores the results of scheduled reports or accelerated data models, which do not count against the license. Option C is incorrect because the _metrics index is an internal index that stores metrics data about the Splunk platform performance, which does not count against the license. Option D is incorrect because the
_introspection index is another internal index that stores data about the impact of the Splunk software on the host system, such as CPU, memory, disk, and network usage, which does not count against the license.
References:
1: How Splunk Enterprise licensing works - Splunk Documentation 2: What data counts against my license? - Splunk Documentation 3: [About indexes and indexers - Splunk Documentation] 4: [The main index - Splunk Documentation] : [Summary indexing - Splunk Documentation] : [About metrics indexes - Splunk Documentation] : [About the Monitoring Console - Splunk Documentation]
NEW QUESTION # 200
(A customer has converted a CSV lookup to a KV Store lookup. What must be done to make it available for an automatic lookup?)
Answer: D
Explanation:
Splunk's KV Store management documentation specifies that when converting a static CSV lookup to a KV Store lookup, the lookup data is stored in a MongoDB-based collection defined in collections.conf. To ensure that the KV Store lookup is replicated and available across all search head cluster members, administrators must include the attribute replicate=true within the collections.conf file.
This configuration instructs Splunk to replicate the KV Store collection's data to all members in the Search Head Cluster (SHC), enabling consistent access and reliability across the cluster. Without this attribute, the KV Store collection would remain local to a single search head, making it unavailable for automatic lookups performed by other members.
Here's an example configuration snippet from collections.conf:
[customer_lookup]
replicate = true
field.name = string
field.age = number
The attribute repFactor=true (mentioned in Options A and D) is unrelated to KV Store behavior-it applies to index replication, not KV Store replication. Similarly, replicate=true in lookups.conf (Option B) has no effect, as KV Store replication is controlled exclusively via collections.conf.
Once properly configured, the lookup can be defined in transforms.conf and referenced in props.conf for automatic lookup functionality.
References (Splunk Enterprise Documentation):
* KV Store Collections and Configuration - collections.conf Reference
* Managing KV Store Data in Search Head Clusters
* Automatic Lookup Configuration Using KV Store
* Splunk Enterprise Admin Manual - Distributed KV Store Replication Settings
NEW QUESTION # 201
A search head cluster with a KV store collection can be updated from where in the KV store collection?
Answer: B
Explanation:
According to the Splunk documentation1, any search head in the cluster can update the KV store collection.
The KV store collection is replicated across all the cluster members, and any write operation is delegated to the KV store captain, who then synchronizes the changes with the other members. The KV store primary search head is not a valid term, as there is no such role in a search head cluster. The other options are false because:
* The search head cluster captain is not the only node that can update the KV store collection, as any member can initiate a write operation1.
* Any search head except the captain can also update the KV store collection, as the write operation will be delegated to the captain1.
NEW QUESTION # 202
In which phase of the Splunk Enterprise data pipeline are indexed extraction configurations processed?
Answer: A
Explanation:
Explanation
Indexed extraction configurations are processed in the indexing phase of the Splunk Enterprise data pipeline.
The data pipeline is the process that Splunk uses to ingest, parse, index, and search data. Indexed extraction configurations are settings that determine how Splunk extracts fields from data at index time, rather than at search time. Indexed extraction can improve search performance, but it also increases the size of the index.
Indexed extraction configurations are applied in the indexing phase, which is the phase where Splunk writes the data and the .tsidx files to the index. The input phase is the phase where Splunk receives data from various sources and formats. The parsing phase is the phase where Splunk breaks the data into events, timestamps, and hosts. The search phase is the phase where Splunk executes search commands and returns results.
NEW QUESTION # 203
......
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