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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect |
| Exam Number: | SPLK-2002 |
| Exam Duration: | 60 minutes |
| Related Certifications: | Splunk Enterprise Certified Architect |
| Exam Price: | USD 130.00 |
| Passing Score: | 700 / 1000 |
| Exam Format: | Multiple-choice |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Online proctored or In-person at a testing center |
| Pre Condition: | Splunk Core Certified Power User and Splunk Enterprise Certified Admin (recommended) |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-enterprise-certified-architect.html |
>> SPLK-2002 Pruefungssimulationen <<
Es ist nicht so einfach, die SPLK-2002 Prüfung zu bestehen. SPLK-2002 Prüfung erfordert ein hohes Maß an Fachwissen der IT. Wenn es Ihnen dieses Wissen fehlt, kann DeutschPrüfung Ihnen die Kenntnissequellen zur Verfügung stehen. Mit ihren reichen Fachkenntnissen und Erfahrungen bietet der Expertenteam die relevanten Fragen und Antworten der SPLK-2002 Zertifizierungsprüfung. Wenn Sie DeutschPrüfung wählen, versprechen wir Ihnen nicht nur eine 100%-Pass-Garantie, sondern stellt Ihnen auch einen einjährigen kostenlosen Update-Service zur verfügung. Falls Sie in der Prüfung durchfallen, zahlen wir Ihnen die gesammte Summe zurück.
Die Splunk SPLK-2002 Zertifizierungsprüfung ist für IT-Profis konzipiert, die ihr Know-how bei der Implementierung und Verwaltung komplexer Splunk Enterprise-Umgebungen validieren möchten. Diese Zertifizierung ist für Einzelpersonen gedacht, die bereits die Splunk Certified Admin (SPLK-1003) und Splunk Certified Power User (SPLK-1002) Zertifizierungen erworben haben. Die SPLK-2002 Prüfung misst fortgeschrittenes Wissen und Fähigkeiten in Splunk-Architektur, Clustering, Deployment und Fehlerbehebung.
199. Frage
Which props.conf setting has the least impact on indexing performance?
Antwort: A
Begründung:
According to the Splunk documentation1, the CHARSET setting in props.conf specifies the character set encoding of the source data. This setting has the least impact on indexing performance, as it only affects how Splunk interprets the bytes of the data, not how it processes or transforms the data. The other options are false because:
* The SHOULD_LINEMERGE setting in props.conf determines whether Splunk breaks events based on timestamps or newlines. This setting has a significant impact on indexing performance, as it affects how Splunk parses the data and identifies the boundaries of the events2.
* The TRUNCATE setting in props.conf specifies the maximum number of characters that Splunk indexes from a single line of a file. This setting has a moderate impact on indexing performance, as it affects how much data Splunk reads and writes to the index3.
* The TIME_PREFIX setting in props.conf specifies the prefix that directly precedes the timestamp in the event data. This setting has a moderate impact on indexing performance, as it affects how Splunk extracts the timestamp and assigns it to the event
200. Frage
To improve Splunk performance, parallelIngestionPipelines setting can be adjusted on which of the following components in the Splunk architecture? (Select all that apply.)
Antwort: A,D
201. Frage
Which of the following artifacts are included in a Splunk diagfile? (Select all that apply.)
Antwort: B,D
Begründung:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Troubleshooting/Generateadiag
202. Frage
Why should intermediate forwarders be avoided when possible?
Antwort: D
Begründung:
Intermediate forwarders are forwarders that receive data from other forwarders and then send that data to indexers. They can be useful in some scenarios, such as when network bandwidth or security constraints prevent direct forwarding to indexers, or when data needs to be routed, cloned, or modified in transit.
However, intermediate forwarders also introduce additional complexity and overhead to the data pipeline, which can affect the performance and reliability of data ingestion. Therefore, intermediate forwarders should be avoided when possible, and used only when there is a clear benefit or requirement for them. Some of the drawbacks of intermediate forwarders are:
* They increase the number of hops and connections in the data flow, which can introduce latency and
* increase the risk of data loss or corruption.
* They consume more resources on the hosts where they run, such as CPU, memory, disk, and network bandwidth, which can affect the performance of other applications or processes on those hosts.
* They require additional configuration and maintenance, such as setting up inputs, outputs, load balancing, security, monitoring, and troubleshooting.
* They can create data duplication or inconsistency if they are not configured properly, such as when using cloning or routing rules.
Some of the references that support this answer are:
* Configure an intermediate forwarder, which states: "Intermediate forwarding is where a forwarder receives data from one or more forwarders and then sends that data on to another indexer. This kind of setup is useful when, for example, you have many hosts in different geographical regions and you want to send data from those forwarders to a central host in that region before forwarding the data to an indexer. All forwarder types can act as an intermediate forwarder. However, this adds complexity to your deployment and can affect performance, so use it only when necessary."
* Intermediate data routing using universal and heavy forwarders, which states: "This document outlines a variety of Splunk options for routing data that address both technical and business requirements. Overall benefits Using splunkd intermediate data routing offers the following overall benefits: ... The routing strategies described in this document enable flexibility for reliably processing data at scale. Intermediate routing enables better security in event-level data as well as in transit. The following is a list of use cases and enablers for splunkd intermediate data routing: ... Limitations splunkd intermediate data routing has the following limitations: ... Increased complexity and resource consumption. splunkd intermediate data routing adds complexity to the data pipeline and consumes resources on the hosts where it runs. This can affect the performance and reliability of data ingestion and other applications or processes on those hosts. Therefore, intermediate routing should be avoided when possible, and used only when there is a clear benefit or requirement for it."
* Use forwarders to get data into Splunk Enterprise, which states: "The forwarders take the Apache data and send it to your Splunk Enterprise deployment for indexing, which consolidates, stores, and makes the data available for searching. Because of their reduced resource footprint, forwarders have a minimal performance impact on the Apache servers. ... Note: You can also configure a forwarder to send data to another forwarder, which then sends the data to the indexer. This is called intermediate forwarding.
However, this adds complexity to your deployment and can affect performance, so use it only when necessary."
203. Frage
What is the recommended order of activities in the Splunk deployment process?
Antwort: C
Begründung:
Splunk's official planning guidance explains that the deployment cycle begins with defining the system architecture, capacity planning, platform design, and topologies. Splunk states that before any component is installed, administrators must complete "infrastructure planning and buildout," which includes determining indexer capacity, search head roles, clustering strategy, storage layout, and performance requirements. This foundational step ensures that all Splunk components have the proper hardware, network design, and scaling expectations.
After the environment is built, Splunk documentation states that the next stage is "deployment and data onboarding," which includes configuring indexers, forwarders, parsing rules, event processing pipelines, data source validation, and enrichment steps such as field extractions, tagging, event types, and CIM alignment.
Splunk describes this as the phase where you bring in data and confirm correctness, completeness, and normalization.
Only after the system is stable and populated with data does Splunk recommend "user planning and rollout", which includes developing dashboards, roles, knowledge objects, search best practices, and enabling user access. Splunk emphasizes that user onboarding should occur last, once infrastructure and data pipelines are fully validated.
References:Splunk Admin & Architect Study Guide; Splunk Deployment Planning Guidelines; Splunk Validated Architectures (Planning and Design Sections).
204. Frage
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