Splunk SPLK-2002퍼펙트덤프최신자료, SPLK-2002완벽한공부문제

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Splunk SPLK-2002 Exam Syllabus Topics:

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

>> Splunk SPLK-2002퍼펙트 덤프 최신자료 <<

Splunk SPLK-2002완벽한 공부문제 - SPLK-2002시험패스 가능한 공부하기

우리ExamPassdump에는 아주 엘리트 한 전문가들로 구성된 팀입니다 그들은 끈임 없는 연구와 자기자신만의 지식으로 많은 IT관연 덤프자료를 만들어 냄으로 여러분의 꿈을 이루어드립니다, 기존의 시험문제와 답과 시험문제분석 등입니다. ExamPassdump에서 제공하는Splunk SPLK-2002시험자료의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다. ExamPassdump덤프들은 모두 보장하는 덤프들이며 여러분은 과감히 ExamPassdump의 덤프를 장바구니에 넣으세요. ExamPassdump에서 여러분의 꿈을 이루어 드립니다.

최신 Splunk Enterprise Certified Architect SPLK-2002 무료샘플문제 (Q126-Q131):

질문 # 126
In which phase of the Splunk Enterprise data pipeline are indexed extraction configurations processed?

정답:D

설명:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Admin/
Configurationparametersandthedatapipeline


질문 # 127
What is the expected minimum amount of storage required for data across an indexer cluster with the following input and parameters?
* Raw data = 15 GB per day
* Index files = 35 GB per day
* Replication Factor (RF) = 2
* Search Factor (SF) = 2

정답:A

설명:
The correct answer is C. 100 GB per day. This is the expected minimum amount of storage required for data across an indexer cluster with the given input and parameters. The storage requirement can be calculated by adding the raw data size and the index files size, and then multiplying by the Replication Factor and the Search Factor1. In this case, the calculation is:
(15 GB + 35 GB) x 2 x 2 = 100 GB
The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Search Factor is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes3. Both factors affect the storage requirement, as they determine how many copies of the data are stored and searchable on the indexers. The other options are not correct, as they do not match the result of the calculation. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Estimate storage requirements 2: About indexer clusters and index replication 3: Configure the search factor


질문 # 128
In the deployment planning process, when should a person identify who gets to see network data?

정답:D

설명:
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


질문 # 129
How does the average run time of all searches relate to the available CPU cores on the indexers?

정답:A

설명:
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


질문 # 130
A three-node search head cluster is skipping a large number of searches across time. What should be done to increase scheduled search capacity on the search head cluster?

정답:B

설명:
Explanation
Changing the limits.conf value for max_searches_per_cpu to a higher value is the best option to increase scheduled search capacity on the search head cluster when a large number of searches are skipped across time.
This value determines how many concurrent scheduled searches can run on each CPU core of the search head.
Increasing this value will allow more scheduled searches to run at the same time, which will reduce the number of skipped searches. Creating a job server on the cluster, running the server.conf captain_is_adhoc_searchhead = true command, or adding another search head to the cluster are not the best options to increase scheduled search capacity on the search head cluster. For more information, see [Configure limits.conf] in the Splunk documentation.


질문 # 131
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지금 같은 경쟁력이 심각한 상황에서Splunk SPLK-2002시험자격증만 소지한다면 연봉상승 등 일상생활에서 많은 도움이 될 것입니다.Splunk SPLK-2002시험자격증 소지자들의 연봉은 당연히Splunk SPLK-2002시험자격증이 없는 분들보다 높습니다. 하지만 문제는Splunk SPLK-2002시험패스하기가 너무 힘듭니다. ExamPassdump는 여러분의 연봉상승을 도와 드리겠습니다.

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