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| Section | Weight | Objectives |
|---|---|---|
| Search Head Cluster | 8% | - Scaling and member lifecycle management - Architecture and deployment - Deployer and captaincy management |
| Infrastructure Planning | 12% | - Index design, retention, and data management - Resource sizing: CPU, memory, storage, network - Topology design for ES, ITSI, and security |
| Forwarder & Deployment Best Practices | 6% | - Forwarder tier design and configuration - Data collection and forwarding optimization - Deployment server and configuration management |
| Performance Monitoring & Tuning | 5% | - System and indexer performance monitoring - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf |
| Indexer Cluster Administration & Operations | 7% | - App bundle distribution and management - Storage management and monitoring - Peer node maintenance and decommission |
| Single-site Indexer Cluster | 8% | - Configuration and deployment - Upgrade and migration considerations - Replication factor, search factor, and management |
| Large-Scale Deployment Design | 5% | - High availability and scalability - Security and compliance design - Enterprise architecture patterns |
| Deployment Planning & Requirements Definition | 7% | - Identify relevant applications and solutions - Collect and analyze project and environment requirements - Define deployment methodology and process |
| Troubleshooting Methodology & Tools | 14% | - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution - Log analysis and internal indexes - Resolve configuration, search, and deployment issues |
| Clustering Concepts & Overview | 5% | - Search head cluster fundamentals - Indexer cluster fundamentals - Storage and replication requirements |
| Multisite Indexer Cluster | 8% | - Configuration and cross-site operations - Disaster recovery and high availability - Geographic deployment planning |
>> New SPLK-2002 Test Topics <<
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NEW QUESTION # 136
An indexer cluster is being designed with the following characteristics:
* 10 search peers
* Replication Factor (RF): 4
* Search Factor (SF): 3
* No SmartStore usage
How many search peers can fail before data becomes unsearchable?
Answer: D
Explanation:
Three peers can fail. This is the maximum number of search peers that can fail before data becomes unsearchable in the indexer cluster with the given characteristics. The searchability of the data depends on the Search Factor, which is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes1. In this case, the Search Factor is 3, which means that each bucket has three searchable copies distributed among the 10 search peers. If three or fewer search peers fail, the cluster can still serve the data from the remaining searchable copies. However, if four or more search peers fail, the cluster may lose some searchable copies and the data may become unsearchable. The other options are not correct, as they either underestimate or overestimate the number of search peers that can fail before data becomes unsearchable. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Configure the search factor
NEW QUESTION # 137
When converting from a single-site to a multi-site cluster, what happens to existing single-site clustered
buckets?
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Migratetomultisite
NEW QUESTION # 138
A customer plans to ingest 600 GB of data per day into Splunk. They will have six concurrent users, and they also want high data availability and high search performance. The customer is concerned about cost and wants to spend the minimum amount on the hardware for Splunk. How many indexers are recommended for this deployment?
Answer: A
NEW QUESTION # 139
Users are asking the Splunk administrator to thaw recently-frozen buckets very frequently. What could the Splunk administrator do to reduce the need to thaw buckets?
Answer: C
Explanation:
The correct answer is A. Change frozenTimePeriodInSecs to a larger value. This is a possible solution to reduce the need to thaw buckets, as it increases the time period before a bucket is frozen and removed from the index1. The frozenTimePeriodInSecs attribute specifies the maximum age, in seconds, of the data that the index can contain1. By setting it to a larger value, the Splunk administrator can keep the data in the index for a longer time, and avoid having to thaw the buckets frequently. The other options are not effective solutions to reduce the need to thaw buckets. Option B, changing maxTotalDataSizeMB to a smaller value, would actually increase the need to thaw buckets, as it decreases the maximum size, in megabytes, of an index2. This means that the index would reach its size limit faster, and more buckets would be frozen and removed. Option C, changing maxHotSpanSecs to a larger value, would not affect the need to thaw buckets, as it only changes the maximum lifetime, in seconds, of a hot bucket3. This means that the hot bucket would stay hot for a longer time, but it would not prevent the bucket from being frozen eventually. Option D, changing coldToFrozenDir to a different location, would not reduce the need to thaw buckets, as it only changes the destination directory for the frozen buckets4. This means that the buckets would still be frozen and removed from the index, but they would be stored in a different location. Therefore, option A is the correct answer, and options B, C, and D are incorrect.
1: Set a retirement and archiving policy 2: Configure index size 3: Bucket rotation and retention 4: Archive indexed data
NEW QUESTION # 140
Which CLI command converts a Splunk instance to a license slave?
Answer: B
NEW QUESTION # 141
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