ちなみに、Jpexam SPLK-2002の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1fUsoN1H7D8nBRVRZSPjrpTkPxqrK1kXx
君はほかのサイトや書籍もブラウズ するがもしれませんが、弊社の関連のSPLK-2002学習資料と比較してからJpexamの商品の範囲が広くてまたネット上でダウンロードを発見してしまいました。Jpexamだけ全面と高品質の問題集があるのではJpexamの専門家チームが彼らの長年のSplunk知識と豊富な経験で研究してしました。そして、Jpexamに多くのSPLK-2002受験生の歓迎されます。
SPLK-2002認定試験では、Splunkの展開、データ管理、セキュリティ、パフォーマンスの最適化、トラブルシューティングなど、幅広いトピックをカバーしています。この試験は、候補者がSplunk Enterprise環境を設計、展開、および管理する能力をテストする100の複数選択質問で構成されています。さらに、この試験では、候補者がSplunk Best Practices、トラブルシューティング技術、展開方法に関する理解を評価します。 SPLK-2002試験に合格すると、候補者はSplunk Enterprise Architectureを包括的に理解しており、組織のニーズを満たすためにSplunk Enterprise環境を展開および管理できることが示されています。
SPLK-2002認証試験は、複雑なSplunk Enterprise環境を設計、実装、維持する個人の能力を評価する厳格なテストです。テスト受験者は、データの摂取、データ管理、ユーザー認証、セキュリティ、分散検索などの分野で知識を実証する必要があります。試験は100の複数選択の質問で構成されており、試験を完了するためにテストテイカーに2時間が与えられます。
人生には様々な選択があります。選択は必ずしも絶対な幸福をもたらさないかもしれませんが、あなたに変化のチャンスを与えます。JpexamのSplunkのSPLK-2002「Splunk Enterprise Certified Architect」試験トレーニング資料はIT職員としてのあなたがIT試験に受かる不可欠なトレーニング資料です。JpexamのSplunkのSPLK-2002試験トレーニング資料はカバー率が高くて、更新のスピードも速くて、完全なトレーニング資料ですから、Jpexam を手に入れたら、全てのIT認証が恐くなくなります。
Splunk SPLK-2002試験は、Splunk Enterpriseアーキテクチャの専門家になりたいITプロフェッショナルにとって必須の認定資格です。この試験に合格することは、展開計画、トラブルシューティング、最適化など、Splunkのさまざまな側面についての知識、スキル、能力を証明します。試験の準備には、Splunk Enterprise Certified Architectトレーニングコースを受講し、Splunkの文書やコミュニティリソースなどのその他のリソースを活用することができます。
質問 # 180
A Splunk deployment is being architected and the customer will be using Splunk Enterprise Security (ES) and Splunk IT Service Intelligence (ITSI). Through data onboarding and sizing, it is determined that over 200 discrete KPIs will be tracked by ITSI and 1TB of data per day by ES. What topology ensures a scalable and performant deployment?
正解：D
解説：
The correct topology to ensure a scalable and performant deployment for the customer's use case is two search head clusters, one for ITSI and one for ES. This configuration provides high availability, load balancing, and isolation for each Splunk app. According to the Splunk documentation1, ITSI and ES should not be installed on the same search head or search head cluster, as they have different requirements and may interfere with each other. Having two separate search head clusters allows each app to have its own dedicated resources and configuration, and avoids potential conflicts and performance issues1. The other options are not recommended, as they either have only one search head or search head cluster, which reduces the availability and scalability of the deployment, or they have both ITSI and ES installed on the same search head or search head cluster, which violates the best practices and may cause problems. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Splunk IT Service Intelligence and Splunk Enterprise Security compatibility
質問 # 181
(The performance of a specific search is performing poorly. The search must run over All Time and is expected to have very few results. Analysis shows that the search accesses a very large number of buckets in a large index. What step would most significantly improve the performance of this search?)
正解：C
解説：
As per Splunk Enterprise Search Performance documentation, the most significant factor affecting search performance when querying across a large number of buckets is disk I/O throughput. A search that spans "All Time" forces Splunk to inspect all historical buckets (hot, warm, cold, and potentially frozen if thawed), even if only a few events match the query. This dramatically increases the amount of data read from disk, making the search bound by I/O performance rather than CPU or memory.
Increasing the number of indexing pipelines (Option B) only benefits data ingestion, not search performance.
Changing to a real-time search (Option D) does not help because real-time searches are optimized for streaming new data, not historical queries. The indexed_realtime_use_by_default setting (Option C) applies only to streaming indexed real-time searches, not historical "All Time" searches.
To improve performance for such searches, Splunk documentation recommends enhancing disk I/O capability
- typically through SSD storage, increased disk bandwidth, or optimized storage tiers. Additionally, creating summary indexes or accelerated data models may help for repeated "All Time" queries, but the most direct improvement comes from faster disk performance since Splunk must scan large numbers of buckets for even small result sets.
References (Splunk Enterprise Documentation):
* Search Performance Tuning and Optimization
* Understanding Bucket Search Mechanics and Disk I/O Impact
* limits.conf Parameters for Search Performance
* Storage and Hardware Sizing Guidelines for Indexers and Search Heads
質問 # 182
When planning a search head cluster, which of the following is true?
正解：D
解説：
When planning a search head cluster, the following statement is true: All indexers must belong to the underlying indexer cluster (no standalone indexers). A search head cluster is a group of search heads that share configurations, apps, and search jobs. A search head cluster requires an indexer cluster as its data source, meaning that all indexers that provide data to the search head cluster must be members of the same indexer cluster. Standalone indexers, or indexers that are not part of an indexer cluster, cannot be used as data sources for a search head cluster. All search heads do not have to use the same operating system, as long as they are compatible with the Splunk version and the indexer cluster. All search heads do not have to be members of the cluster, as standalone search heads can also search the indexer cluster, but they will not have the benefits of configuration replication and load balancing. The search head captain does not have to be assigned to the largest search head in the cluster, as the captain is dynamically elected from among the cluster members based on various criteria, such as CPU load, network latency, and search load.
質問 # 183
A multi-site indexer cluster can be configured using which of the following? (Select all that apply.)
正解：A、B
解説：
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Enableclustersindetail
質問 # 184
Several critical searches that were functioning correctly yesterday are not finding a lookup table today. Which log file would be the best place to start troubleshooting?
正解：C
解説：
A lookup table is a file that contains a list of values that can be used to enrich or modify the data during search time1. Lookup tables can be stored in CSV files or in the KV Store1. Troubleshooting lookup tables involves identifying and resolving issues that prevent the lookup tables from being accessed, updated, or applied correctly by the Splunk searches. Some of the tools and methods that can help with troubleshooting lookup tables are:
* web_access.log: This is a file that contains information about the HTTP requests and responses that occur between the Splunk web server and the clients2. This file can help troubleshoot issues related to lookup table permissions, availability, and errors, such as 404 Not Found, 403 Forbidden, or 500 Internal Server Error34.
* btool output: This is a command-line tool that displays the effective configuration settings for a given Splunk component, such as inputs, outputs, indexes, props, and so on5. This tool can help troubleshoot issues related to lookup table definitions, locations, and precedence, as well as identify the source of a configuration setting6.
* search.log: This is a file that contains detailed information about the execution of a search, such as the search pipeline, the search commands, the search results, the search errors, and the search performance.
This file can help troubleshoot issues related to lookup table commands, arguments, fields, and outputs, such as lookup, inputlookup, outputlookup, lookup_editor, and so on .
Option B is the correct answer because web_access.log is the best place to start troubleshooting lookup table issues, as it can provide the most relevant and immediate information about the lookup table access and status.
Option A is incorrect because btool output is not a log file, but a command-line tool. Option C is incorrect because health.log is a file that contains information about the health of the Splunk components, such as the indexer cluster, the search head cluster, the license master, and the deployment server. This file can help troubleshoot issues related to Splunk deployment health, but not necessarily related to lookup tables. Option D is incorrect because configuration_change.log is a file that contains information about the changes made to the Splunk configuration files, such as the user, the time, the file, and the action. This file can help troubleshoot issues related to Splunk configuration changes, but not necessarily related to lookup tables.
References:
1: About lookups - Splunk Documentation 2: web_access.log - Splunk Documentation 3: Troubleshoot lookups to the Splunk Enterprise KV Store 4: Troubleshoot lookups in Splunk Enterprise Security - Splunk Documentation 5: Use btool to troubleshoot configurations - Splunk Documentation 6: Troubleshoot configuration issues - Splunk Documentation : Use the search.log file - Splunk Documentation : Troubleshoot search-time field extraction - Splunk Documentation : [Troubleshoot lookups - Splunk Documentation] :
[health.log - Splunk Documentation] : [configuration_change.log - Splunk Documentation]
質問 # 185
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SPLK-2002合格資料: https://www.jpexam.com/SPLK-2002_exam.html
ちなみに、Jpexam SPLK-2002の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1fUsoN1H7D8nBRVRZSPjrpTkPxqrK1kXx