無料でクラウドストレージから最新のTech4Exam SPLK-3002 PDFダンプをダウンロードする：https://drive.google.com/open?id=10Kch0PuaE8nx9KQXqzLSBjz20ALOHRpc
まだSPLK-3002試験に昼夜を問わず滞在していますか？ 答えが「はい」の場合は、Tech4ExamのSPLK-3002試験資料を試してください。 私たちSplunkは、最も正確で有用な情報を含むコンテンツだけでなく、最も迅速で最も効率的なアシスタントを提供するアフターサービスについても専門的です。 当社のSPLK-3002練習トレントを20〜30時間使用すると、SPLK-3002試験に参加する準備が整い、期待されるSplunk IT Service Intelligence Certified Adminスコアを達成できると主張できます。
| Section | Weight | Objectives |
|---|---|---|
| Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Access Control and Security | 5% | - Create service-level teams - Configure user roles and permissions |
| Glass Tables | 5% | - Use glass tables - Describe glass tables - Design glass tables - Configure glass tables |
| ITSI Architecture and Deployment | 10% | - Plan and design deployment - Manage ITSI modules - Describe ITSI architecture |
| Anomaly Detection | 5% | - Enable anomaly detection - Work with anomaly events |
| Correlation and Multi-KPI Searches | 5% | - Manage notable event storage - Define correlation searches - Create multi-KPI alerts |
| Services and KPIs | 15% | - Configure KPI thresholds and alerts - Define services and KPIs - Manage service dependencies - Use entities in KPI searches |
| Deep Dives | 10% | - Use default deep dives - Create and customize deep dives - Describe deep dive concepts |
| Event Analytics | 5% | - Configure and use Event Analytics - Describe Event Analytics features |
| Managing Notable Events | 10% | - Customize notable event views - Describe multi-KPI alerts - Work with notable events - Describe notable events workflow - Define key notable events terms and relationships |
| Introducing ITSI | 5% | - Identify what ITSI does - Examine the ITSI user interface - Describe reasons for using ITSI |
もしSPLK-3002認定試験を受験したいなら、SPLK-3002試験参考書が必要でしょう。ターゲットがなくてあちこち参考資料を探すのをやめてください。どんな資料を利用すべきなのかがわからないとしたら、Tech4ExamのSPLK-3002問題集を利用してみましょう。この問題集は的中率が高くて、あなたの一発成功を保証できますから。ほかの試験参考書より、この問題集はもっと正確に実際問題の範囲を絞ることができます。こうすれば、この問題集を利用して、あなたは勉強の効率を向上させ、十分にSPLK-3002試験に準備することができます。
質問 # 45
Which of the following are the default ports that must be configured on Splunk to use ITSI?
正解：D
解説：
Reference: https://splunk.github.io/docker-splunk/ARCHITECTURE.html
C is the correct answer because ITSI uses the default ports of Splunk Enterprise for its communication and data collection. SplunkWeb uses port 8000, SplunkD uses port 8089, and HTTP Event Collector uses port
8088. These ports can be changed if needed, but they must match the configuration of Splunk Enterprise.
References: Ports used by ITSI
質問 # 46
Which of the following applies when configuring time policies for KPI thresholds?
正解：C
解説：
Time policies are user-defined threshold values to be used at different times of the day or week to account for changing KPI workloads. Time policies accommodate normal variations in usage across your services and improve the accuracy of KPI and service health scores. For example, if your organization's peak activity is during the standard work week, you might create a KPI threshold time policy that accounts for higher levels of usage during work hours, and lower levels of usage during off-hours and weekends. The statement that applies when configuring time policies for KPI thresholds is:
* B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00.
This is true because time policies allow you to define different threshold values for different time blocks, such as AM/PM, work hours/off hours, weekdays/weekends, and so on. This way, you can account for the expected variations in your KPI data based on the time of day or week.
The other statements do not apply because:
* A. A person can only configure 24 policies, one for each hour of the day. This is not true because you can configure more than 24 policies using different time block combinations, such as 3 hour block, 2 hour block, 1 hour block, and so on.
* C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it. This is not true because time policies are designed to handle KPIs that change significantly through a cycle on a daily basis, such as web traffic volume or CPU load percent.
* D. It is possible for multiple time policies to overlap. This is not true because you can only have one active time policy at any given time. When you create a new time policy, the previous time policy is overwritten and cannot be recovered.
References: Create time-based static KPI thresholds in ITSI
質問 # 47
When in maintenance mode, which of the following is accurate?
正解：B
解説：
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/REBestPractice A is the correct answer because when in maintenance mode, KPIs and notable events will begin to be generated again once the window is over. Maintenance mode is a feature of ITSI that allows you to temporarily suspend alerts and health score calculations for a service or an entity during planned maintenance or downtime. During maintenance mode, KPI searches still run, but the results are buffered until the window is over. Once the window is over, the buffered results are processed and alerts and health scores are generated if necessary. References: [Overview of maintenance windows in ITSI]
質問 # 48
What is an episode?
正解：D
解説：
It's a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/EpisodeOverview An episode is a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation. An episode helps you reduce alert noise and focus on the most important issues affecting your IT services. An episode is created by an aggregation policy, which is a set of rules that determines how to group notable events based on certain criteria, such as severity, source, title, and so on.
You can use episode review to view, manage, and resolve episodes in ITSI. The statement that defines an episode is:
C). A notable event group. This is true because an episode is composed of one or more notable events that are related by some common factor.
The other options are not definitions of an episode because:
A). A workflow task. This is not true because a workflow task is an action that you can perform on an episode, such as assigning an owner, changing the status, adding comments, and so on.
B). A deep dive. This is not true because a deep dive is a dashboard that allows you to analyze the historical trends and anomalies of your KPIs and metrics in ITSI.
D). A notable event. This is not true because a notable event is an alert generated by ITSI based on certain conditions or correlations, not a group of alerts.
References: [Overview of Episode Review in ITSI], [Overview of aggregation policies in ITSI]
質問 # 49
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
正解：A
解説：
Reference: https://newoutlook.it/download/book/splunk/advanced-splunk.pdf When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:
B). Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.
The other options are not things you should consider because:
A). Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using
| stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs.
You should use | stats functions only in base searches or ad hoc searches, not in custom fields.
C). Make sure that all fields conform to CIM, then use the corresponding module to import related services.
This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.
D). Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.
References: Overview of modules in ITSI, [Install technical add-ons for ITSI modules]
質問 # 50
......
人々は自分が将来何か成績を作るようにずっと努力しています。IT業界でのあなたも同じでしょう。自分の能力を高めるために、SPLK-3002試験に参加する必要があります。SPLK-3002試験に合格したら、あなたがより良く就職し輝かしい未来を持っています。この試験が非常に困難ですが、実は試験を準備するとき、もっと楽になることができます。我々のSPLK-3002問題集を入手するのはあなたの進めるべきの第一歩です。
SPLK-3002最新受験攻略: https://www.tech4exam.com/SPLK-3002-pass-shiken.html
P.S. Tech4ExamがGoogle Driveで共有している無料かつ新しいSPLK-3002ダンプ：https://drive.google.com/open?id=10Kch0PuaE8nx9KQXqzLSBjz20ALOHRpc