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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Multisite Indexer Cluster | 8% | - Geographic deployment planning - Configuration and cross-site operations - Disaster recovery and high availability |
| Topic 2: Performance Monitoring & Tuning | 5% | - System and indexer performance monitoring - Configuration tuning: limits.conf, indexes.conf, props.conf - Search performance optimization |
| Topic 3: Troubleshooting Methodology & Tools | 14% | - Log analysis and internal indexes - Diagnostic tools and Splunk support model - Resolve configuration, search, and deployment issues - Cluster and forwarding problem resolution |
| Topic 4: Search Head Cluster | 8% | - Scaling and member lifecycle management - Architecture and deployment - Deployer and captaincy management |
| Topic 5: Deployment Planning & Requirements Definition | 7% | - Identify relevant applications and solutions - Collect and analyze project and environment requirements - Define deployment methodology and process |
| Topic 6: Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Storage and replication requirements - Indexer cluster fundamentals |
| Topic 7: Infrastructure Planning | 12% | - Index design, retention, and data management - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network |
| Topic 8: Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - App bundle distribution and management - Peer node maintenance and decommission |
| Topic 9: Forwarder & Deployment Best Practices | 6% | - Data collection and forwarding optimization - Deployment server and configuration management - Forwarder tier design and configuration |
| Topic 10: Single-site Indexer Cluster | 8% | - Upgrade and migration considerations - Configuration and deployment - Replication factor, search factor, and management |
| Topic 11: Large-Scale Deployment Design | 5% | - High availability and scalability - Enterprise architecture patterns - Security and compliance design |
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10. Frage
Which Splunk server role regulates the functioning of indexer cluster?
Antwort: D
11. Frage
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Antwort: A,B
12. Frage
(What is a recommended way to improve search performance?)
Antwort: D
Begründung:
Splunk Enterprise Search Optimization documentation consistently emphasizes that filtering data as early as possible in the search pipeline is the most effective way to improve search performance. The base search (the part before the first pipe |) determines the volume of raw events Splunk retrieves from the indexers. Therefore, by applying restrictive conditions early-such as time ranges, indexed fields, and metadata filters-you can drastically reduce the number of events that need to be fetched and processed downstream.
The best practice is to use indexed field filters (e.g., index=security sourcetype=syslog host=server01) combined with search or where clauses at the start of the query. This minimizes unnecessary data movement between indexers and the search head, improving both search speed and system efficiency.
Using non-streaming commands early (Option C) can degrade performance because they require full result sets before producing output. Likewise, focusing solely on shortening queries (Option A) or excessive use of the not operator (Option D) does not guarantee efficiency, as both may still process large datasets.
Filtering early leverages Splunk's distributed search architecture to limit data at the indexer level, reducing processing load and network transfer.
References (Splunk Enterprise Documentation):
* Search Performance Tuning and Optimization Guide
* Best Practices for Writing Efficient SPL Queries
* Understanding Streaming and Non-Streaming Commands
* Search Job Inspector: Analyzing Execution Costs
13. Frage
Which search head cluster component is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster?
Antwort: D
Begründung:
The captain is the search head cluster component that is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster. The captain is elected from among the search head cluster members and performs these tasks in addition to serving search requests. The master is the indexer cluster component that is responsible for managing the replication and availability of data across the peer nodes. The deployer is the standalone instance that is responsible for distributing apps and other configurations to the search head cluster members. The deployment server is the instance that is responsible for distributing apps and other configurations to the deployment clients, such as forwarders
14. Frage
A Splunk instance has crashed, but no crash log was generated. There is an attempt to determine what user activity caused the crash by running the following search:
What does searching for closed_txn=0 do in this search?
Antwort: A
Begründung:
Searching for closed_txn=0 in this search filters results to situations where Splunk was started, but not stopped. This means that the transaction was not completed, and Splunk crashed before it could finish the pipelines. The closed_txn field is added by the transaction command, and it indicates whether the transaction was closed by an event that matches the endswith condition1. A value of 0 means that the transaction was not closed, and a value of 1 means that the transaction was closed1. Therefore, option D is the correct answer, and options A, B, and C are incorrect.
1: transaction command overview
15. Frage
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