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| Section | Objectives |
|---|---|
| Configuring Distributed Search | - Explain the role of search heads and indexers - Describe the operation of distributed search - Define search head clustering |
| Managing Indexers and Indexer Clusters | - Describe indexer cluster architecture - Describe methods for troubleshooting indexer clusters - Explain the management of indexer configurations |
| Introducing Splunk Architecture | - Identify the roles of each component - Describe the relationship between components - Identify Splunk components |
| Data Collection and Ingestion | - Describe data collection techniques - Describe data routing and filtering - Explain the use of Indexers and Heavy Forwarders |
| Managing Search Heads | - Explain the configuration of search heads - Describe search head pooling and clustering - Describe the deployment of apps to search heads |
| Monitoring and Scaling a Splunk Deployment | - Identify monitoring tools and dashboards - Explain resource allocation and performance tuning - Describe scaling strategies |
| Planning and Designing a Splunk Deployment | - List the data and resource requirements - Determine the appropriate license volume and type - Describe the key planning and design considerations |
| Troubleshooting a Splunk Deployment | - Identify common issues and error messages - Describe troubleshooting techniques - Explain the use of internal logs |
| Managing Forwarders | - Identify configuration methods - Explain forwarder management - Describe the types of forwarders |
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Just download Splunk SPLK-2002 Exam Questions and start SPLK-2002 exam preparation right now. The Splunk SPLK-2002 PDF Dumps exam syllabus is updated from time to time. If you want to pass the Splunk Enterprise Certified Architect exam then you have to understand these changes.
NEW QUESTION # 78
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: B,C
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 # 79
When planning a search head cluster, which of the following is true?
Answer: B
Explanation:
Explanation
When planning a search head cluster, the following statement is true: All indexers must belong to the underlying indexer cluster (no standalone indexers). A search head cluster is a group of search heads that share configurations, apps, and search jobs. A search head cluster requires an indexer cluster as its data source, meaning that all indexers that provide data to the search head cluster must be members of the same indexer cluster. Standalone indexers, or indexers that are not part of an indexer cluster, cannot be used as data sources for a search head cluster. All search heads do not have to use the same operating system, as long as they are compatible with the Splunk version and the indexer cluster. All search heads do not have to be members of the cluster, as standalone search heads can also search the indexer cluster, but they will not have the benefits of configuration replication and load balancing. The search head captain does not have to be assigned to the largest search head in the cluster, as the captain is dynamically elected from among the cluster members based on various criteria, such as CPU load, network latency, and search load.
NEW QUESTION # 80
(What command will decommission a search peer from an indexer cluster?)
Answer: C
Explanation:
The splunk offline --enforce-counts command is the official and documented method used to gracefully decommission a search peer (indexer) from an indexer cluster in Splunk Enterprise. This command ensures that all replication and search factors are maintained before the peer is removed.
When executed, Splunk initiates a controlled shutdown process for the peer node. The Cluster Manager verifies that sufficient replicated copies of all bucket data exist across the remaining peers according to the configured replication_factor (RF) and search_factor (SF). The --enforce-counts flag specifically enforces that replication and search counts remain intact before the peer fully detaches from the cluster, ensuring no data loss or availability gap.
The sequence typically includes:
* Validating cluster state and replication health.
* Rolling off the peer's data responsibilities to other peers.
* Removing the peer from the active cluster membership list once replication is complete.
Other options like disablepeer, decommission, or remove cluster-peers are not valid Splunk commands.
Therefore, the correct documented method is to use:
splunk offline --enforce-counts
References (Splunk Enterprise Documentation):
* Indexer Clustering: Decommissioning a Peer Node
* Managing Peer Nodes and Maintaining Data Availability
* Splunk CLI Command Reference - splunk offline
* Cluster Manager and Peer Maintenance Procedures
NEW QUESTION # 81
What does setting site=site0on all Search Head Cluster members do in a multi-site indexer cluster?
Answer: B
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/DeploymultisiteSHC
NEW QUESTION # 82
When should a Universal Forwarder be used instead of a Heavy Forwarder?
Answer: C
Explanation:
According to the Splunk blog1, the Universal Forwarder is ideal for collecting data from high-velocity data sources, such as a syslog server, due to its smaller footprint and faster performance. The Universal Forwarder performs minimal processing and sends raw or unparsed data to the indexers, reducing the network traffic and the load on the forwarders. The other options are false because:
* When most of the data requires masking, a Heavy Forwarder is needed, as it can perform advanced filtering and data transformation before forwarding the data2.
* When data comes directly from a database server, a Heavy Forwarder is needed, as it can run modular inputs such as DB Connect to collect data from various databases2.
* When a modular input is needed, a Heavy Forwarder is needed, as the Universal Forwarder does not include a bundled version of Python, which is required for most modular inputs2.
NEW QUESTION # 83
......
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