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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Infrastructure Planning | 12% | - Topology design for ES, ITSI, and security - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management |
| Topic 2: Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - App bundle distribution and management - Peer node maintenance and decommission |
| Topic 3: Troubleshooting Methodology & Tools | 14% | - Log analysis and internal indexes - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution - Resolve configuration, search, and deployment issues |
| Topic 4: Single-site Indexer Cluster | 8% | - Configuration and deployment - Upgrade and migration considerations - Replication factor, search factor, and management |
| Topic 5: Performance Monitoring & Tuning | 5% | - Configuration tuning: limits.conf, indexes.conf, props.conf - Search performance optimization - System and indexer performance monitoring |
| Topic 6: Clustering Concepts & Overview | 5% | - Storage and replication requirements - Search head cluster fundamentals - Indexer cluster fundamentals |
| Topic 7: Forwarder & Deployment Best Practices | 6% | - Forwarder tier design and configuration - Data collection and forwarding optimization - Deployment server and configuration management |
| Topic 8: Search Head Cluster | 8% | - Architecture and deployment - Deployer and captaincy management - Scaling and member lifecycle management |
| Topic 9: Large-Scale Deployment Design | 5% | - High availability and scalability - Enterprise architecture patterns - Security and compliance design |
| Topic 10: Deployment Planning & Requirements Definition | 7% | - Collect and analyze project and environment requirements - Define deployment methodology and process - Identify relevant applications and solutions |
| Topic 11: Multisite Indexer Cluster | 8% | - Disaster recovery and high availability - Geographic deployment planning - Configuration and cross-site operations |
これらすべてのSPLK-2002学習教材で、あなたの成功は100％保証されます。さらに、無料のデモがあります。無料のデモでは、練習資料の内容について証明された経験に基づいた推測を提供します。 SPLK-2002試験の知識を、あなたのように成功することに熱心な熱心な試験受験者に伝えることで、彼らはそれを助けを提供する責任として扱います。あなたの情報の次の特徴を備えたSPLK-2002学習ガイドを入手できる場合は、驚くべき進歩を遂げる準備をしてください。
質問 # 79
When using ingest-based licensing, what Splunk role requires the license manager to scale?
正解：A
解説：
When using ingest-based licensing, there are no Splunk roles that require the license manager to scale, because the license manager does not need to handle any additional load or complexity. Ingest-based licensing is a new licensing model that allows customers to pay for the data they ingest into Splunk, regardless of the data source, volume, or use case. Ingest-based licensing simplifies the licensing process and eliminates the need for license pools, license stacks, license slaves, and license warnings. The license manager is still responsible for enforcing the license quota and generating license usage reports, but it does not need to communicate with any other Splunk instances or monitor their license usage. Therefore, option C is the correct answer. Option A is incorrect because search peers are indexers that participate in a distributed search. They do not affect the license manager's scalability, because they do not report their license usage to the license manager. Option B is incorrect because search heads are Splunk instances that coordinate searches across multiple indexers. They do not affect the license manager's scalability, because they do not report their license usage to the license manager. Option D is incorrect because deployment clients are Splunk instances that receive configuration updates and apps from a deployment server. They do not affect the license manager's scalability, because they do not report their license usage to the license manager12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Admin/AboutSplunklicensing 2:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Admin/HowSplunklicensingworks
質問 # 80
Of the following types of files within an index bucket, which file type may consume the most disk?
正解：C
質問 # 81
What does setting site=site0 on all Search Head Cluster members do in a multi-site indexer cluster?
正解：A
解説：
Setting site=site0 on all Search Head Cluster members disables search site affinity. Search site affinity is a feature that allows search heads to preferentially search the peer nodes that are in the same site as the search head, to reduce network latency and bandwidth consumption. By setting site=site0, which is a special value that indicates no site, the search heads will search all peer nodes regardless of their site. Setting site=site0 does not set all members to dynamic captaincy, enable multisite search artifact replication, or enable automatic search site affinity discovery. Dynamic captaincy is a feature that allows any member to become the captain, and it is enabled by default. Multisite search artifact replication is a feature that allows search artifacts to be replicated across sites, and it is enabled by setting site_replication_factor to a value greater than 1. Automatic search site affinity discovery is a feature that allows search heads to automatically determine their site based on the network latency to the peer nodes, and it is enabled by setting site=auto
質問 # 82
Which of the following is a way to exclude search artifacts when creating a diag?
正解：A
解説：
Explanation/Reference: https://splunkonbigdata.com/2018/10/01/splunk-diag/
質問 # 83
In the deployment planning process, when should a person identify who gets to see network data?
正解：C
解説：
Explanation
In the deployment planning process, a person should identify who gets to see network data in the data policy definition step. This step involves defining the data access policies and permissions for different users and roles in Splunk. The deployment schedule step involves defining the timeline and milestones for the deployment project. The topology diagramming step involves creating a visual representation of the Splunk architecture and components. The data source inventory step involves identifying and documenting the data sources and types that will be ingested by Splunk
質問 # 84
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