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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Troubleshooting, and Optimization | 7% | - Performance tuning and optimization - Troubleshooting common issues - Monitoring deployment health and performance |
| Distributed Search and Scalability | 8% | - Search head clustering - Distributed search configuration - Indexer clustering basics |
| Forwarder Management | 10% | - Load balancing and output configuration - Forwarder management and deployment apps - Deploying and configuring universal/heavy forwarders |
| Configuration Files and Management | 12% | - Editing and managing .conf files - Deployment server and configuration bundles - Configuration file hierarchy and precedence |
| Splunk Deployment Overview | 10% | - Deployment types: single instance, distributed environment - Core components: indexers, search heads, forwarders |
| Data Inputs and Ingestion | 18% | - Network inputs: TCP, UDP - Scripted and modular inputs - Windows-specific inputs: WMI, Event Log - Monitor inputs: files and directories - HTTP Event Collector (HEC) |
| Index Management | 10% | - Index performance and optimization - Data buckets and lifecycle management - Index creation, configuration, and retention |
| Users, Roles, and Authentication | 13% | - Role-based access control (RBAC) - Authentication methods: local, LDAP, SSO - User creation and management |
| License Management | 12% | - Monitoring license usage and compliance - License types and features - License master configuration and management |
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NEW QUESTION # 16
Which of the following statements apply to directory inputs? {select all that apply)
Answer: B,D
NEW QUESTION # 17
Which of the following is a benefit of distributed search?
Answer: B
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Whatisdistributedsearch Parallel reduce search processing If you struggle with extremely large high-cardinality searches, you might be able to apply parallel reduce processing to them to help them complete faster. You must have a distributed search environment to use parallel reduce search processing.
NEW QUESTION # 18
The volume of data from collecting log files from 50 Linux servers and 200 Windows servers will require multiple indexers. Following best practices, which types of Splunk component instances are needed?
Answer: A
Explanation:
Indexers, search head, deployment server, license master, universal forwarder. This is the combination of Splunk component instances that are needed to handle the volume of data from collecting log files from 50 Linux servers and 200 Windows servers, following the best practices.
The roles and functions of these components are:
Indexers: These are the Splunk instances that index the data and make it searchable. They also perform some data processing, such as timestamp extraction, line breaking, and field extraction.
Multiple indexers can be clustered together to provide high availability, data replication, and load balancing.
Search head: This is the Splunk instance that coordinates the search across the indexers and merges the results from them. It also provides the user interface for searching, reporting, and dashboarding. A search head can also be clustered with other search heads to provide high availability, scalability, and load balancing.
Deployment server: This is the Splunk instance that manages the configuration and app deployment for the universal forwarders. It allows the administrator to centrally control the inputs.conf, outputs.conf, and other configuration files for the forwarders, as well as distribute apps and updates to them.
License master: This is the Splunk instance that manages the licensing for the entire Splunk deployment. It tracks the license usage of all the Splunk instances and enforces the license limits and violations. It also allows the administrator to add, remove, or change licenses. Universal forwarder: These are the lightweight Splunk instances that collect data from various sources and forward it to the indexers or other forwarders. They do not index or parse the data, but only perform minimal processing, such as compression and encryption. They are installed on the Linux and Windows servers that generate the log files.
NEW QUESTION # 19
Which authentication methods are natively supported within Splunk Enterprise? (select all that apply)
Answer: B,C
NEW QUESTION # 20
What is the correct attribute to set in inputs.conf in order to have data sent to a particular indexer group?
Answer: B
Explanation:
The correct attribute is:
_TCP_ROUTING = < target_group >
In inputs.conf, _TCP_ROUTING is used to route data from a specific input to a specific TCP output group.
The target group must be defined in outputs.conf.
Example:
# inputs.conf
[monitor:///var/log/app.log]
index = app_index
_TCP_ROUTING = indexer_group_1
The corresponding group is defined in outputs.conf:
[tcpout:indexer_group_1]
server = indexer1.example.com:9997,indexer2.example.com:9997
This allows specific inputs to be sent to particular indexer groups.
Reference: Splunk Enterprise Forwarding Data Manual - route inputs to specific indexer groups; Splunk Enterprise Admin Manual - inputs.conf and outputs.conf specifications.
NEW QUESTION # 21
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