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Splunk SPLK-2002 Certification Exam is designed for those who have a deep understanding of the Splunk Enterprise platform and who are able to design and implement large-scale Splunk environments. Splunk Enterprise Certified Architect certification exam covers a wide range of topics, including advanced clustering and indexing, distributed search, and data enrichment, among others. Candidates who successfully pass the exam will demonstrate their expertise in implementing and managing complex Splunk environments.
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After becoming accredited as a Splunk Enterprise Certified Architect, there is no limit to what a professional can achieve. They can venture into other related certifications to grow their expertise. An example is opting for a role of a consultant with Splunk through the Splunk Core Certified Consultant certificate. Still, one can explore certificates from other vendors as well.
To prepare for the Splunk SPLK-2002 Exam, you will need to have a deep understanding of Splunk and its features. You will need to be familiar with the Splunk architecture, data inputs, data management, and data analysis. You will also need to be proficient in search language, configuration files, and Splunk apps. There are many resources available to help you prepare for the exam, including online courses, practice exams, and study guides.
NEW QUESTION # 80
(When determining where a Splunk forwarder is trying to send data, which of the following searches can provide assistance?)
Answer: C
Explanation:
To determine where a Splunk forwarder is attempting to send its data, administrators can search within the
_internal index using the metrics logs generated by the forwarder's Splunkd process. The correct and documented search is:
index=_internal sourcetype=splunkd metrics destHost | dedup destHost
The _internal index contains detailed operational logs from the Splunkd process, including metrics on network connections, indexing pipelines, and output groups. The field destHost records the destination indexer (s) to which the forwarder is attempting to send data. Using dedup destHost ensures that only unique destination hosts are shown.
This search is particularly useful for troubleshooting forwarding issues, such as connection failures, misconfigurations in outputs.conf, or load-balancing behavior in multi-indexer setups.
Other listed options are invalid or incorrect because:
* sourcetype=internal does not exist.
* index=_metrics is not where Splunk stores forwarding telemetry.
* The field inputHost identifies the source host, not the destination.
Thus, Option D aligns with Splunk's official troubleshooting practices for forwarder-to-indexer communication validation.
References (Splunk Enterprise Documentation):
* Monitoring Forwarder Connections and Destinations
* Troubleshooting Forwarding Using Internal Logs
* _internal Index Reference - Metrics and destHost Fields
* outputs.conf - Verifying Forwarder Data Routing and Connectivity
NEW QUESTION # 81
When configuring a Splunk indexer cluster, what are the default values for replication and search factor?
replication_factor = 2
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Thesearchfactor
NEW QUESTION # 82
A Splunk environment collecting 10 TB of data per day has 50 indexers and 5 search heads. A single-site indexer cluster will be implemented. Which of the following is a best practice for added data resiliency?
Answer: C
Explanation:
The correct answer is B. Set the Replication Factor based on allowed indexer failure. This is a best practice for adding data resiliency to a single-site indexer cluster, as it ensures that there are enough copies of each bucket to survive the loss of one or more indexers without affecting the searchability of the data1. The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Replication Factor should be set according to the number of indexers that can fail without compromising the cluster's ability to serve data1. For example, if the cluster can tolerate the loss of two indexers, the Replication Factor should be set to three1.
The other options are not best practices for adding data resiliency. Option A, setting the Replication Factor to
49, is not recommended, as it would create too many copies of each bucket and consume excessive disk space and network bandwidth1. Option C, always using the default Replication Factor of 3, is not optimal, as it may not match the customer's requirements and expectations for data availability and performance1. Option D, setting the Replication Factor based on allowed search head failure, is not relevant, as the Replication Factor does not affect the search head availability, but the searchability of the data on the indexers1. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Configure the replication factor 2: About indexer clusters and index replication
NEW QUESTION # 83
Which of the following artifacts are included in a Splunk diagfile? (Select all that apply.)
Answer: A,B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Troubleshooting/Generateadiag
NEW QUESTION # 84
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: C,D
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 # 85
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