Splunk SPLK-2002題庫更新 & SPLK-2002最新題庫

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Splunk SPLK-2002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Large-Scale Deployment Design5%- Security and compliance design
- Enterprise architecture patterns
- High availability and scalability
Topic 2: Troubleshooting Methodology & Tools14%- Cluster and forwarding problem resolution
- Log analysis and internal indexes
- Diagnostic tools and Splunk support model
- Resolve configuration, search, and deployment issues
Topic 3: Forwarder & Deployment Best Practices6%- Deployment server and configuration management
- Data collection and forwarding optimization
- Forwarder tier design and configuration
Topic 4: Multisite Indexer Cluster8%- Configuration and cross-site operations
- Geographic deployment planning
- Disaster recovery and high availability
Topic 5: Search Head Cluster8%- Deployer and captaincy management
- Scaling and member lifecycle management
- Architecture and deployment
Topic 6: Single-site Indexer Cluster8%- Replication factor, search factor, and management
- Upgrade and migration considerations
- Configuration and deployment
Topic 7: Indexer Cluster Administration & Operations7%- App bundle distribution and management
- Peer node maintenance and decommission
- Storage management and monitoring
Topic 8: Infrastructure Planning12%- Index design, retention, and data management
- Topology design for ES, ITSI, and security
- Resource sizing: CPU, memory, storage, network
Topic 9: Clustering Concepts & Overview5%- Search head cluster fundamentals
- Indexer cluster fundamentals
- Storage and replication requirements
Topic 10: Deployment Planning & Requirements Definition7%- Define deployment methodology and process
- Identify relevant applications and solutions
- Collect and analyze project and environment requirements
Topic 11: Performance Monitoring & Tuning5%- System and indexer performance monitoring
- Search performance optimization
- Configuration tuning: limits.conf, indexes.conf, props.conf

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SPLK-2002最新題庫,SPLK-2002指南

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最新的 Splunk Enterprise Certified Architect SPLK-2002 免費考試真題 (Q155-Q160):

問題 #155
When adding or decommissioning a member from a Search Head Cluster (SHC), what is the proper order of operations?

答案:D

解題說明:
Explanation
When adding or decommissioning a member from a Search Head Cluster (SHC), the proper order of operations is:
* Delete Splunk Enterprise, if it exists.
* Install and initialize the instance.
* Join the SHC.
This order of operations ensures that the member has a clean and consistent Splunk installation before joining the SHC. Deleting Splunk Enterprise removes any existing configurations and data from the instance.
Installing and initializing the instance sets up the Splunk software and the required roles and settings for the SHC. Joining the SHC adds the instance to the cluster and synchronizes the configurations and apps with the other members. The other order of operations are not correct, because they either skip a step or perform the steps in the wrong order.


問題 #156
What is the logical first step when starting a deployment plan?

答案:A

解題說明:
The logical first step when starting a deployment plan is to collect the initial requirements for the deployment from all stakeholders. This includes identifying the business objectives, the data sources, the use cases, the security and compliance needs, the scalability and availability expectations, and the budget and timeline constraints. Collecting the initial requirements helps to define the scope and the goals of the deployment, and to align the expectations of all the parties involved.
Inventorying the currently deployed logging infrastructure, determining what apps and use cases will be implemented, and gathering statistics on the expected adoption of Splunk for sizing are all important steps in the deployment planning process, but they are not the logical first step. These steps can be done after collecting the initial requirements, as they depend on the information gathered from the stakeholders.


問題 #157
Which Splunk cluster feature requires additional indexer storage?

答案:A

解題說明:
Comprehensive and Detailed Explanation (From Splunk Enterprise Documentation)Splunk's documentation on summary indexing and data-model acceleration clarifies that summary data is stored as additional indexed data on the indexers. Summary indexing produces new events-aggregations, rollups, scheduled search outputs-and stores them in summary indexes. Splunk explains that these summaries accumulate over time and require additional bucket storage, retention considerations, and sizing adjustments.
The documentation for accelerated data models further confirms that acceleration summaries are stored alongside raw data on indexers, increasing disk usage proportional to the acceleration workload. This makes summary indexing the only listed feature that strictly increases indexer storage demand.
In contrast, Search Head Clustering replicates configuration and knowledge objects across search heads-not on indexers. Indexer Discovery affects forwarder behavior, not storage. Indexer Acknowledgement controls data-delivery guarantees but does not create extra indexed content.
Therefore, only Index Summarization (summary indexing) directly increases indexer storage requirements.
References:Splunk Summary Indexing Documentation; Splunk Data Model Acceleration Guidelines; Splunk Storage and Capacity Planning Documentation.


問題 #158
Which of the following options can improve reliability of syslog delivery to Splunk? (Select all that apply.)

答案:B,C


問題 #159
What types of files exist in a bucket within a clustered index? (select all that apply)

答案:A,D

解題說明:
According to the Splunk documentation1, a bucket within a clustered index contains two key types of files: the raw data in compressed form (rawdata) and the indexes that point to the raw data (tsidx files). A bucket can be either replicated or searchable, depending on whether it has both types of files or only the rawdata file. A replicated bucket is a bucket that has been copied from one peer node to another for the purpose of data replication. A searchable bucket is a bucket that has both the rawdata and the tsidx files, and can be searched by the search heads. The types of files that exist in a bucket within a clustered index are:
* Inside a searchable bucket, there is tsidx and rawdata. This is true because a searchable bucket contains both the data and the index files, and can be searched by the search heads1.
* Inside a replicated bucket, there is both tsidx and rawdata. This is true because a replicated bucket can also be a searchable bucket, if it has both the data and the index files. However, not all replicated buckets are searchable, as some of them might only have the rawdata file, depending on the replication factor and the search factor settings1.
The other options are false because:
* Inside a replicated bucket, there is only rawdata. This is false because a replicated bucket can also have the tsidx file, if it is a searchable bucket. A replicated bucket only has the rawdata file if it is a non-searchable bucket, which means that it cannot be searched by the search heads until it gets the tsidx file from another peer node1.
* Inside a searchable bucket, there is only tsidx. This is false because a searchable bucket always has both the tsidx and the rawdata files, as they are both required for searching the data. A searchable bucket cannot exist without the rawdata file, as it contains the actual data that the tsidx file points to1.


問題 #160
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