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Candidates who become Splunk SPLK-2002 certified demonstrate their worth in the Splunk field. SPLK-2002 certification is proof of their competence and skills. This is a highly sought after credential and it makes career advancement easier for the candidate. To become Splunk SPLK-2002 Certified, you must pass the Splunk Enterprise Certified Architect (SPLK-2002) Exam. For this task, you need actual and updated SPLK-2002 Questions.
| Section | Objectives |
|---|---|
| Introducing Splunk Architecture | - Identify the roles of each component - Identify Splunk components - Describe the relationship between components |
| Monitoring and Scaling a Splunk Deployment | - Describe scaling strategies - Identify monitoring tools and dashboards - Explain resource allocation and performance tuning |
| Configuring Distributed Search | - Explain the role of search heads and indexers - Define search head clustering - Describe the operation of distributed search |
| Managing Search Heads | - Describe the deployment of apps to search heads - Explain the configuration of search heads - Describe search head pooling and clustering |
| Planning and Designing a Splunk Deployment | - Determine the appropriate license volume and type - List the data and resource requirements - Describe the key planning and design considerations |
| Managing Indexers and Indexer Clusters | - Explain the management of indexer configurations - Describe indexer cluster architecture - Describe methods for troubleshooting indexer clusters |
| Data Collection and Ingestion | - Describe data collection techniques - Explain the use of Indexers and Heavy Forwarders - Describe data routing and filtering |
| Managing Forwarders | - Identify configuration methods - Describe the types of forwarders - Explain forwarder management |
| Troubleshooting a Splunk Deployment | - Explain the use of internal logs - Identify common issues and error messages - Describe troubleshooting techniques |
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NEW QUESTION # 188
Which of the following security options must be explicitly configured (i.e. which options are not enabled by default)?
Answer: D
Explanation:
Explanation
The following security option must be explicitly configured, as it is not enabled by default:
* Certificate authentication between forwarders and indexers. This option allows the forwarders and indexers to verify each other's identity using SSL certificates, which prevents unauthorized data transmission or spoofing attacks. This option is not enabled by default, as it requires the administrator to generate and distribute the certificates for the forwarders and indexers. For more information, see
[Secure the communication between forwarders and indexers] in the Splunk documentation. The following security options are enabled by default:
* Data encryption between Splunk Web and splunkd. This option encrypts the communication between the Splunk Web interface and the splunkd daemon using SSL, which prevents data interception or tampering. This option is enabled by default, as Splunk provides a self-signed certificate for this purpose. For more information, see [About securing Splunk Enterprise with SSL] in the Splunk documentation.
* Certificate authentication between Splunk Web and search head. This option allows the Splunk Web interface and the search head to verify each other's identity using SSL certificates, which prevents unauthorized access or spoofing attacks. This option is enabled by default, as Splunk provides a self-signed certificate for this purpose. For more information, see [About securing Splunk Enterprise with SSL] in the Splunk documentation.
* Data encryption for distributed search between search heads and indexers. This option encrypts the communication between the search heads and the indexers using SSL, which prevents data interception or tampering. This option is enabled by default, as Splunk provides a self-signed certificate for this purpose. For more information, see [Secure your distributed search environment] in the Splunk documentation.
NEW QUESTION # 189
When Splunk is installed, where are the internal indexes stored by default?
Answer: A
Explanation:
Explanation
Splunk internal indexes are the indexes that store Splunk's own data, such as internal logs, metrics, audit events, and configuration snapshots. By default, Splunk internal indexes are stored in the SPLUNK_HOME/var/lib/splunk directory, along with other user-defined indexes. The SPLUNK_HOME/bin directory contains the Splunk executable files and scripts. The SPLUNK_HOME/var/run directory contains the Splunk process ID files and lock files. The SPLUNK_HOME/etc/system/default directory contains the default Splunk configuration files.
NEW QUESTION # 190
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: B,C
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 # 191
Search dashboards in the Monitoring Console indicate that the distributed deployment is approaching its capacity. Which of the following options will provide the most search performance improvement?
Answer: A
Explanation:
Explanation
Adding more search peers and making sure forwarders distribute data evenly across all indexers will provide the most search performance improvement when the distributed deployment is approaching its capacity.
Adding more search peers will increase the search concurrency and reduce the load on each indexer.
Distributing data evenly across all indexers will ensure that the search workload is balanced and no indexer becomes a bottleneck. Replacing the indexer storage to SSD will improve the search performance, but it is a costly and time-consuming option. Adding more search heads will not improve the search performance if the indexers are the bottleneck. Rescheduling slow searches to run during an off-peak time will reduce the search contention, but it will not improve the search performance for each individual search. For more information, see [Scale your indexer cluster] and [Distribute data across your indexers] in the Splunk documentation.
NEW QUESTION # 192
Which index-time props.conf attributes impact indexing performance? (Select all that apply.)
Answer: A,C
NEW QUESTION # 193
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