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| Section | Weight | Objectives |
|---|---|---|
| Large-Scale Deployment Design | 5% | - Security and compliance design - High availability and scalability - Enterprise architecture patterns |
| Indexer Cluster Administration & Operations | 7% | - Peer node maintenance and decommission - App bundle distribution and management - Storage management and monitoring |
| Clustering Concepts & Overview | 5% | - Indexer cluster fundamentals - Storage and replication requirements - Search head cluster fundamentals |
| Single-site Indexer Cluster | 8% | - Configuration and deployment - Upgrade and migration considerations - Replication factor, search factor, and management |
| Forwarder & Deployment Best Practices | 6% | - Data collection and forwarding optimization - Forwarder tier design and configuration - Deployment server and configuration management |
| Performance Monitoring & Tuning | 5% | - System and indexer performance monitoring - Configuration tuning: limits.conf, indexes.conf, props.conf - Search performance optimization |
| Troubleshooting Methodology & Tools | 14% | - Diagnostic tools and Splunk support model - Log analysis and internal indexes - Cluster and forwarding problem resolution - Resolve configuration, search, and deployment issues |
| Deployment Planning & Requirements Definition | 7% | - Define deployment methodology and process - Identify relevant applications and solutions - Collect and analyze project and environment requirements |
| Search Head Cluster | 8% | - Scaling and member lifecycle management - Architecture and deployment - Deployer and captaincy management |
| Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management |
| Multisite Indexer Cluster | 8% | - Disaster recovery and high availability - Geographic deployment planning - Configuration and cross-site operations |
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NEW QUESTION # 175
To activate replication for an index in an indexer cluster, what attribute must be configured in indexes.conf on all peer nodes?
Answer: D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Indexer/Configurethepeerindexes
NEW QUESTION # 176
Which of the following is a best practice to maximize indexing performance?
Answer: C
Explanation:
Explanation
A best practice to maximize indexing performance is to minimize configuration generality. Configuration generality refers to the use of generic or default settings for data inputs, such as source type, host, index, and timestamp. Minimizing configuration generality means using specific and accurate settings for each data input, which can reduce the processing overhead and improve the indexing throughput. Using automatic source typing, using the Splunk default settings, and not using pre-trained source types are examples of configuration generality, which can negatively affect the indexing performance
NEW QUESTION # 177
(A high-volume source and a low-volume source feed into the same index. Which of the following items best describe the impact of this design choice?)
Answer: B,C
Explanation:
The Splunk Managing Indexes and Storage Documentation explains that when multiple data sources with significantly different ingestion rates share a single index, index bucket management is governed by volume- based rotation, not by source or time. This means that high-volume data causes buckets to fill and roll more quickly, which in turn causes low-volume data to age out prematurely, even if it is relatively recent - hence Option C is correct.
Additionally, because Splunk organizes data within index buckets based on event time and storage characteristics, low-volume data mixed with high-volume data results in inefficient searches for smaller datasets. Queries that target the low-volume source will have to scan through the same large number of buckets containing the high-volume data, leading to slower-than-necessary search performance - Option B.
Compression efficiency (Option A) and performance optimization through data mixing (Option D) are not influenced by mixing volume patterns; these are determined by the event structure and compression algorithm, not source diversity. Splunk best practices recommend separating data sources into different indexes based on usage, volume, and retention requirements to optimize both performance and lifecycle management.
References (Splunk Enterprise Documentation):
* Managing Indexes and Storage - How Splunk Manages Buckets and Data Aging
* Splunk Indexing Performance and Data Organization Best Practices
* Splunk Enterprise Architecture and Data Lifecycle Management
* Best Practices for Data Volume Segregation and Retention Policies
NEW QUESTION # 178
Which of the following are client filters available in serverclass.conf? (Select all that apply.)
Answer: A,B,D
Explanation:
Explanation
The client filters available in serverclass.conf are DNS name, IP address, and platform (machine type). These filters allow the administrator to specify which forwarders belong to a server class and receive the apps and configurations from the deployment server. The Splunk server role is not a valid client filter in serverclass.conf, as it is not a property of the forwarder. For more information, see [Use forwarder management filters] in the Splunk documentation.
NEW QUESTION # 179
A multi-site indexer cluster can be configured using which of the following? (Select all that apply.)
Answer: B,C
Explanation:
A multi-site indexer cluster can be configured by directly editing
SPLUNK_HOME/etc/system/local/server.conf or running a splunk edit cluster-config command from the CLI.
These methods allow the administrator to specify the site attribute for each indexer node and the site_replication_factor and site_search_factor for the cluster. Configuring a multi-site indexer cluster via Splunk Web or directly editing SPLUNK_HOME/etc/system/default/server.conf are not supported methods.
For more information, see Configure the indexer cluster with server.conf in the Splunk documentation.
NEW QUESTION # 180
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