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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting Methodology & Tools | 14% | - Cluster and forwarding problem resolution - Diagnostic tools and Splunk support model - Log analysis and internal indexes - Resolve configuration, search, and deployment issues |
| Topic 2: Clustering Concepts & Overview | 5% | - Storage and replication requirements - Indexer cluster fundamentals - Search head cluster fundamentals |
| Topic 3: Performance Monitoring & Tuning | 5% | - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring |
| Topic 4: Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Configuration and deployment - Upgrade and migration considerations |
| Topic 5: Multisite Indexer Cluster | 8% | - Geographic deployment planning - Disaster recovery and high availability - Configuration and cross-site operations |
| Topic 6: Large-Scale Deployment Design | 5% | - Security and compliance design - High availability and scalability - Enterprise architecture patterns |
| Topic 7: Deployment Planning & Requirements Definition | 7% | - Identify relevant applications and solutions - Collect and analyze project and environment requirements - Define deployment methodology and process |
| Topic 8: Search Head Cluster | 8% | - Scaling and member lifecycle management - Architecture and deployment - Deployer and captaincy management |
| Topic 9: Infrastructure Planning | 12% | - Index design, retention, and data management - Resource sizing: CPU, memory, storage, network - Topology design for ES, ITSI, and security |
| Topic 10: Indexer Cluster Administration & Operations | 7% | - App bundle distribution and management - Peer node maintenance and decommission - Storage management and monitoring |
| Topic 11: Forwarder & Deployment Best Practices | 6% | - Forwarder tier design and configuration - Deployment server and configuration management - Data collection and forwarding optimization |
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問題 #198
To improve Splunk performance, parallelIngestionPipelines setting can be adjusted on which of the following components in the Splunk architecture? (Select all that apply.)
答案：C,D
解題說明：
Explanation
The parallelIngestionPipelines setting can be adjusted on the indexers and forwarders to improve Splunk performance. The parallelIngestionPipelines setting determines how many concurrent data pipelines are used to process the incoming data. Increasing the parallelIngestionPipelines setting can improve the data ingestion and indexing throughput, especially for high-volume data sources. The parallelIngestionPipelines setting can be adjusted on the indexers and forwarders by editing the limits.conf file. The parallelIngestionPipelines setting cannot be adjusted on the search head or the cluster master, because they are not involved in the data ingestion and indexing process.
問題 #199
Which search head cluster component is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster?
答案：C
問題 #200
The frequency in which a deployment client contacts the deployment server is controlled by what?
答案：B
解題說明：
The frequency in which a deployment client contacts the deployment server is controlled by the phoneHomeIntervalInSecs attribute in deploymentclient.conf. This attribute specifies how often the deployment client checks in with the deployment server to get updates on the apps and configurations that it should receive. The polling_interval attribute in outputs.conf controls how often the forwarder sends data to the indexer or another forwarder. The polling_interval attribute in deploymentclient.conf and the phoneHomeIntervalInSecs attribute in outputs.conf are not valid Splunk attributes. For more information, see Configure deployment clients and Configure forwarders with outputs.conf in the Splunk documentation.
問題 #201
What is the minimum reference server specification for a Splunk indexer?
答案：D
解題說明：
Explanation
The minimum reference server specification for a Splunk indexer is 12 CPU cores, 12GB RAM, and 800 IOPS. This specification is based on the assumption that the indexer will handle an average indexing volume of 100GB per day, with a peak of 300GB per day, and a typical search load of 1 concurrent search per 1GB of indexing volume. The other specifications are either higher or lower than the minimum requirement. For more information, see [Reference hardware] in the Splunk documentation.
問題 #202
Which of the following are possible causes of a crash in Splunk? (select all that apply)
答案：A,B,C,D
解題說明：
All of the options are possible causes of a crash in Splunk. According to the Splunk documentation1, incorrect ulimit settings can lead to file descriptor exhaustion, which can cause Splunk to crash or hang. Insufficient disk IOPS can also cause Splunk to crash or become unresponsive, as Splunk relies heavily on disk performance2. Insufficient memory can cause Splunk to run out of memory and crash, especially when running complex searches or handling large volumes of data3. Running out of disk space can cause Splunk to stop indexing data and crash, as Splunk needs enough disk space to store its data and logs4.
1: Configure ulimit settings for Splunk Enterprise 2: Troubleshoot Splunk performance issues 3: Troubleshoot memory usage 4: Troubleshoot disk space issues
問題 #203
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SPLK-2002最新考證: https://tw.fast2test.com/SPLK-2002-premium-file.html
P.S. Fast2test在Google Drive上分享了免費的、最新的SPLK-2002考試題庫：https://drive.google.com/open?id=1olSLawkzVNgdzpzpSjY91_8QWmaRL6Rq