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| Section | Weight | Objectives |
|---|---|---|
| Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Storage and replication requirements - Indexer cluster fundamentals |
| Multisite Indexer Cluster | 8% | - Disaster recovery and high availability - Geographic deployment planning - Configuration and cross-site operations |
| Search Head Cluster | 8% | - Scaling and member lifecycle management - Deployer and captaincy management - Architecture and deployment |
| Indexer Cluster Administration & Operations | 7% | - Peer node maintenance and decommission - Storage management and monitoring - App bundle distribution and management |
| Deployment Planning & Requirements Definition | 7% | - Collect and analyze project and environment requirements - Define deployment methodology and process - Identify relevant applications and solutions |
| Troubleshooting Methodology & Tools | 14% | - Resolve configuration, search, and deployment issues - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution - Log analysis and internal indexes |
| Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Upgrade and migration considerations - Configuration and deployment |
| Performance Monitoring & Tuning | 5% | - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring - Search performance optimization |
| Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Index design, retention, and data management - Resource sizing: CPU, memory, storage, network |
| Forwarder & Deployment Best Practices | 6% | - Data collection and forwarding optimization - Forwarder tier design and configuration - Deployment server and configuration management |
| Large-Scale Deployment Design | 5% | - High availability and scalability - Enterprise architecture patterns - Security and compliance design |
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NEW QUESTION # 50
A new Splunk customer is using syslog to collect data from their network devices on port 514. What is the best practice for ingesting this data into Splunk?
Answer: B
Explanation:
The best practice for ingesting syslog data from network devices on port 514 into Splunk is to configure syslog to write logs and use a Splunk forwarder to collect the logs. This practice will ensure that the data is reliably collected and forwarded to Splunk, without losing any data or overloading the Splunk indexer.
Configuring syslog to send the data to multiple Splunk indexers will not guarantee data reliability, as syslog is a UDP protocol that does not provide acknowledgment or delivery confirmation. Using a Splunk indexer to collect a network input on port 514 directly will not provide data reliability or load balancing, as the indexer may not be able to handle the incoming data volume or distribute it to other indexers. Using a Splunk forwarder to collect the input on port 514 and forward the data will not provide data reliability, as the forwarder may not be able to receive the data from syslog or buffer it in case of network issues. For more information, see [Get data from TCP and UDP ports] and [Best practices for syslog data] in the Splunk documentation.
NEW QUESTION # 51
Splunk Enterprise platform instrumentation refers to data that the Splunk Enterprise deployment logs in the _introspection index. Which of the following logs are included in this index? (Select all that apply.)
Answer: A,D
NEW QUESTION # 52
What is needed to ensure that high-velocity sources will not have forwarding delays to the indexers?
Answer: D
Explanation:
To ensure that high-velocity sources will not have forwarding delays to the indexers, the default limit for maxKBps in limits.conf should be increased. This parameter controls the maximum bandwidth that a forwarder can use to send data to the indexers. By default, it is set to 256 KBps, which may not be sufficient for high-volume data sources. Increasing this limit can reduce the forwarding latency and improve the performance of the forwarders. However, this should be done with caution, as it may affect the network bandwidth and the indexer load. Option B is the correct answer. Option A is incorrect because the sessionTimeout parameter in server.conf controls the duration of a TCP connection between a forwarder and an indexer, not the bandwidth limit. Option C is incorrect because the forceTimebasedAutoLB parameter in outputs.conf controls the frequency of load balancing among the indexers, not the bandwidth limit. Option D is incorrect because the phoneHomelntervallnSecs parameter in deploymentclient.conf controls the interval at which a forwarder contacts the deployment server, not the bandwidth limit12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Admin/Limitsconf#limits.conf.spec 2:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Forwarding/Routeandfilterdatad#Set_the_maximum_bandw
NEW QUESTION # 53
Which of the following statements describe licensing in a clustered Splunk deployment? (Select all that apply.)
Answer: A,B
Explanation:
Explanation
The following statements describe licensing in a clustered Splunk deployment: Free licenses do not support clustering, and replicated data does not count against licensing. Free licenses are limited to 500 MB of daily indexing volume and do not allow distributed searching or clustering. To enable clustering, a license with a higher volume limit and distributed features is required. Replicated data is data that is copied from one peer node to another for the purpose of high availability and load balancing. Replicated data does not count against licensing, because it is not new data that is ingested by Splunk. Only the original data that is indexed by the peer nodes counts against licensing. Each cluster member does not require its own clustering license, because clustering licenses are shared among the cluster members. Cluster members must share the same license pool and license master, because the license master is responsible for distributing licenses to the cluster members and enforcing the license limits
NEW QUESTION # 54
Other than high availability, which of the following is a benefit of search head clustering?
Answer: D
Explanation:
According to the Splunk documentation1, one of the benefits of search head clustering is the automatic replication of user knowledge objects, such as dashboards, reports, alerts, and tags. This ensures that all cluster members have the same set of knowledge objects and can serve the same search results to the users.
The other options are false because:
* Allowing indexers to maintain multiple searchable copies of all data is a benefit of indexer clustering, not search head clustering2.
* Input settings are not synchronized between search heads, as search head clusters do not collect data from inputs. Data collection is done by forwarders or independent search heads3.
* Fewer network ports are not required to be opened between search heads, as search head clusters use several ports for communication and replication among the members4.
NEW QUESTION # 55
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