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Splunk SPLK-2002 考試是一項認證考試，用於測試希望成為 Splunk Enterprise 認證架構師的專業人士的知識和技能。該認證旨在驗證個人設計和部署可以滿足組織需求的 Splunk Enterprise 解決方案的能力。該考試涵蓋了廣泛的主題，被認為是 IT 專業人員在與 Splunk Enterprise 一起工作時的重要資格。

Splunk SPLK-2002 考試大綱：

主題簡介
主題 1
  • Infrastructure Planning: Index Design: Designed for the Enterprise Solutions Architect, this section addresses how to design and size indexes correctly. It also covers estimating storage requirements unrelated to smart store configurations and understanding relevant apps for deployment.
主題 2
  • Search Head Cluster Management and Administration: Designed for the Splunk Administrator, this section covers day-to-day operations such as managing the deployer, handling captaincy, and maintaining or removing search head members.
主題 3
  • Forwarder and Deployment Best Practices: Aimed at the Splunk Administrator, this section covers best practices for designing the forwarder tier and managing Splunk components using deployment tools. It emphasises effective configuration management.
主題 4
  • Large-scale Splunk Deployment Overview: This domain measures the Enterprise Solutions Architect’s ability to design and manage Splunk server roles and configure license masters effectively in clustered environments.
主題 5
  • Clustering Overview: This section is intended for the Splunk Administrator and provides knowledge about search head clustering and related storage needs that are not smart store-specific. It introduces key concepts essential for managing clustered environments.
主題 6
  • Deployment Problems: This section focuses on the Splunk Administrator and includes diagnosing issues related to data forwarding and deployment server operations.
主題 7
  • Project Requirements: This section evaluates the competencies of the Splunk Administrator and focuses on identifying environment-specific needs such as user volume and technical requirements. It includes the use of checklists and available resources to ensure all deployment needs are clearly understood.
主題 8
  • Licensing and Crash Problems: This section assesses the abilities of the Splunk Administrator to identify and resolve issues related to licensing limits and platform crashes during deployment and daily operations.
主題 9
  • Search Head Cluster: Targeted at the Enterprise Solutions Architect, this domain explores the architecture and configuration of search head clusters, necessary for scaling searches across large deployments.
主題 10
  • Performance Monitoring and Tuning: This section of the exam measures the skills of the Splunk Administrator and focuses on optimizing performance using configuration files such as limits.conf, indexes.conf, and props.conf. It also includes methods to improve search efficiency.
主題 11
  • Introduction: This section of the exam measures the skills of the Enterprise Solutions Architect and covers the foundational understanding of planning and executing a Splunk deployment. It introduces key concepts, including the definition of deployment plans and outlines the overall process.
主題 12
  • Multisite Indexer Cluster: This domain is designed for the Enterprise Solutions Architect and provides knowledge of multisite cluster configurations, including upgrades, migration, and redundancy planning.
主題 13
  • Infrastructure Planning: Resource Planning: This domain assesses the expertise of the Enterprise Solutions Architect and deals with sizing considerations, hardware specifications, and storage needs for different Splunk components. It also considers security, privacy, and specialised sizing for apps like ES and ITSI.
主題 14
  • Single-site Indexer Cluster: Intended for the Enterprise Solutions Architect, this section introduces the key aspects of configuring a Splunk single-site indexer cluster, covering essential operational settings.
主題 15
  • Clarifying the Problem: This section targets the Splunk Administrator and includes identifying relevant internal logs and indexes within Splunk. It supports accurate root cause analysis during troubleshooting.
主題 16
  • Splunk Troubleshooting Methods and Tools: Designed for the Splunk Administrator, this domain provides understanding of available Splunk diagnostic tools and resources essential for identifying and resolving issues effectively.
主題 17
  • Indexer Cluster Management and Administration: This section assesses the Splunk Administrator’s skills in managing indexer clusters, including monitoring, peer management, app bundle handling, and storage utilisation strategies.

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為了準備 SPLK-2002 考試，建議考生參加 Splunk Enterprise 認證架構培訓課程。該培訓課程涵蓋了考試中測試的所有主題，並提供了 Splunk Enterprise 架構的實踐經驗。此外，考生還可以使用 Splunk 文檔和社區資源來準備考試。

最新的 Splunk Enterprise Certified Architect SPLK-2002 免費考試真題 (Q80-Q85):

問題 #80
How does the average run time of all searches relate to the available CPU cores on the indexers?

答案：B

解題說明：
The average run time of all searches increases as the number of CPU cores on the indexers decreases. The CPU cores are the processing units that execute the instructions and calculations for the data. The number of CPU cores on the indexers affects the search performance, because the indexers are responsible for retrieving and filtering the data from the indexes. The more CPU cores the indexers have, the faster they can process the data and return the results. The less CPU cores the indexers have, the slower they can process the data and return the results. Therefore, the average run time of all searches is inversely proportional to the number of CPU cores on the indexers. The average run time of all searches is not independent of the number of CPU cores on the indexers, because the CPU cores are an important factor for the search performance. The average run time of all searches does not decrease as the number of CPU cores on the indexers decreases, because this would imply that the search performance improves with less CPU cores, which is not true. The average run time of all searches does not increase as the number of CPU cores on the indexers increases, because this would imply that the search performance worsens with more CPU cores, which is not true


問題 #81
In an existing Splunk environment, the new index buckets that are created each day are about half the size of the incoming data. Within each bucket, about 30% of the space is used for rawdata and about 70% for index files.
What additional information is needed to calculate the daily disk consumption, per indexer, if indexer clustering is implemented?

答案：B

解題說明：
The additional information that is needed to calculate the daily disk consumption, per indexer, if indexer clustering is implemented, is the total daily indexing volume, the number of peer nodes, the replication factor, and the search factor. These information are required to estimate how much data is ingested, how many copies of raw data and searchable data are maintained, and how many indexers are involved in the cluster. The number of accelerated searches, the number of search heads, and the total disk size across the cluster are not relevant for calculating the daily disk consumption, per indexer. For more information, see [Estimate your storage requirements] in the Splunk documentation.


問題 #82
Which of the following should be included in a deployment plan?

答案：A,B,C

解題說明：
A deployment plan should include business continuity and disaster recovery plans, current logging details and data source inventory, and current and future topology diagrams of the IT environment. These elements are essential for planning, designing, and implementing a Splunk deployment that meets the business and technical requirements. A comprehensive list of stakeholders, either direct or indirect, is not part of the deployment plan, but rather part of the project charter. For more information, see Deployment planning in the Splunk documentation.


問題 #83
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?

答案：B


問題 #84
Which index-time props.conf attributes impact indexing performance? (Select all that apply.)

答案：A,C

解題說明：
Explanation
The index-time props.conf attributes that impact indexing performance are LINE_BREAKER and SHOULD_LINEMERGE. These attributes determine how Splunk breaks the incoming data into events and whether it merges multiple events into one. These operations can affect the indexing speed and the disk space consumption. The REPORT attribute does not impact indexing performance, as it is used to apply transforms at search time. The ANNOTATE_PUNCT attribute does not impact indexing performance, as it is used to add punctuation metadata to events at search time. For more information, see [About props.conf and transforms.conf] in the Splunk documentation.


問題 #85
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