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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance Monitoring & Tuning | 5% | - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring |
| Topic 2: Single-site Indexer Cluster | 8% | - Configuration and deployment - Upgrade and migration considerations - Replication factor, search factor, and management |
| Topic 3: Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management |
| Topic 4: Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Indexer cluster fundamentals - Storage and replication requirements |
| Topic 5: Search Head Cluster | 8% | - Architecture and deployment - Scaling and member lifecycle management - Deployer and captaincy management |
| Topic 6: Large-Scale Deployment Design | 5% | - Enterprise architecture patterns - High availability and scalability - Security and compliance design |
| Topic 7: Deployment Planning & Requirements Definition | 7% | - Collect and analyze project and environment requirements - Identify relevant applications and solutions - Define deployment methodology and process |
| Topic 8: Indexer Cluster Administration & Operations | 7% | - Peer node maintenance and decommission - Storage management and monitoring - App bundle distribution and management |
| Topic 9: Forwarder & Deployment Best Practices | 6% | - Forwarder tier design and configuration - Deployment server and configuration management - Data collection and forwarding optimization |
| Topic 10: Troubleshooting Methodology & Tools | 14% | - Log analysis and internal indexes - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution - Resolve configuration, search, and deployment issues |
| Topic 11: Multisite Indexer Cluster | 8% | - Disaster recovery and high availability - Configuration and cross-site operations - Geographic deployment planning |
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NEW QUESTION # 12
Which of the following are true statements about Splunk indexer clustering?
Answer: C,D
Explanation:
Explanation
The following statements are true about Splunk indexer clustering:
* All peer nodes must run exactly the same Splunk version. This is a requirement for indexer clustering, as different Splunk versions may have different data formats or features that are incompatible with each other. All peer nodes must run the same Splunk version as the master node and the search heads that connect to the cluster.
* The search head must run the same or a later Splunk version than the peer nodes. This is a recommendation for indexer clustering, as a newer Splunk version may have new features or bug fixes that improve the search functionality or performance. The search head should not run an older Splunk version than the peer nodes, as this may cause search errors or failures. The following statements are false about Splunk indexer clustering:
* The master node must run the same or a later Splunk version than the search heads. This is not a requirement or a recommendation for indexer clustering, as the master node does not participate in the search process. The master node should run the same Splunk version as the peer nodes, as this ensures the cluster compatibility and functionality.
* The peer nodes must run the same or a later Splunk version than the master node. This is not a requirement or a recommendation for indexer clustering, as the peer nodes do not coordinate the cluster activities. The peer nodes should run the same Splunk version as the master node, as this ensures the cluster compatibility and functionality. For more information, see [About indexer clusters and index replication] and [Upgrade an indexer cluster] in the Splunk documentation.
NEW QUESTION # 13
The master node distributes configuration bundles to peer nodes. Which directory peer nodes receive the bundles?
Answer: C
Explanation:
The master node distributes configuration bundles to peer nodes in the slave-apps directory under $SPLUNK_HOME/etc. The configuration bundle method is the only supported method for managing common configurations and app deployment across the set of peers. It ensures that all peers use the same versions of these files1. Bundles typically contain a subset of files (configuration files and assets) from $SPLUNK_HOME/etc/system, $SPLUNK_HOME/etc/apps, and $SPLUNK_HOME/etc/users2. The process of distributing knowledge bundles means that peers by default receive nearly the entire contents of the search head's apps3.
NEW QUESTION # 14
Which Splunk server role regulates the functioning of indexer cluster?
Answer: A
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Deploy/Indexercluster
NEW QUESTION # 15
A customer has installed a 500GB Enterprise license. They also purchased and installed a 300GB, no enforcement license on the same license master. How much data can the customer ingest before the search is locked out?
Answer: D
Explanation:
Explanation
Search is not locked out when a customer has installed a 500GB Enterprise license and a 300GB, no enforcement license on the same license master. The no enforcement license allows the customer to exceed the license quota without locking search, but violations are still recorded. The customer can ingest up to 800GB of data per day without violating the license, but if they ingest more than that, they will incur a violation.
However, the violation will not lock search, as the no enforcement license overrides the enforcement policy of the Enterprise license. For more information, see [No enforcement licenses] and [License violations] in the Splunk documentation.
NEW QUESTION # 16
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: B,D
Explanation:
Explanation
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third-party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible. Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data. Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS
NEW QUESTION # 17
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