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Earning the SPLK-2002 Certification demonstrates to employers and peers that you have the skills and knowledge needed to design and manage complex Splunk environments. Splunk Enterprise Certified Architect certification can help you advance your career as a Splunk administrator or architect. It can also increase your earning potential, as many employers offer higher salaries to certified professionals.

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Splunk SPLK-2002: Splunk Enterprise Certified Architect Exam

A Splunk Enterprise Certified Architect has a thorough understanding of Splunk Deployment Methodology and best practices for planning, data collection, and sizing for a distributed deployment and can manage and troubleshoot a standard distributed deployment with indexer and search head clustering. This certification demonstrates an individual's ability to deploy, manage, and troubleshoot complex Splunk Enterprise environments. The best way to start the preparation is to start preparing splk-2002 exam dumps and then practice splk-2002 practice exams.

Splunk Enterprise Certified Architect Sample Questions (Q169-Q174):

NEW QUESTION # 169
Which two sections can be expanded using the Search Job Inspector?

Answer: B,D


NEW QUESTION # 170
Which command will permanently decommission a peer node operating in an indexer cluster?

Answer: B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Takeapeeroffline


NEW QUESTION # 171
Which of the following is a best practice to maximize indexing performance?

Answer: B


NEW QUESTION # 172
Which of the following tasks should the architect perform when building a deployment plan? (Select all that apply.)

Answer: A,B,C

Explanation:
Explanation
When building a deployment plan, the architect should perform the following tasks:
* Use case checklist. A use case checklist is a document that lists the use cases that the deployment will support, along with the data sources, the data volume, the data retention, the data model, the dashboards, the reports, the alerts, and the roles and permissions for each use case. A use case checklist helps to define the scope and the functionality of the deployment, and to identify the dependencies and the requirements for each use case1
* Inventory data sources. An inventory of data sources is a document that lists the data sources that the deployment will ingest, along with the data type, the data format, the data location, the data collection method, the data volume, the data frequency, and the data owner for each data source. An inventory of data sources helps to determine the data ingestion strategy, the data parsing and enrichment, the data storage and retention, and the data security and compliance for the deployment1
* Review network topology. A review of network topology is a process that examines the network infrastructure and the network connectivity of the deployment, along with the network bandwidth, the network latency, the network security, and the network monitoring for the deployment. A review of network topology helps to optimize the network performance and reliability, and to identify the network risks and mitigations for the deployment1 Installing Splunk apps is not a task that the architect should perform when building a deployment plan, as it is a task that the administrator should perform when implementing the deployment plan. Installing Splunk apps is a technical activity that requires access to the Splunk instances and the Splunk configurations, which are not available at the planning stage


NEW QUESTION # 173
When preparing to ingest a new data source, which of the following is optional in the data source assessment?

Answer: C

Explanation:
Data retention is optional in the data source assessment because it is not directly related to the ingestion process. Data retention is determined by the index configuration and the storage capacity of the Splunk platform. Data format, data location, and data volume are all essential information for planning how to collect, parse, and index the data source.
References:
Drive more value through data source and use case optimization - Splunk, page 9 Data source planning for Splunk Enterprise Security


NEW QUESTION # 174
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