最新のSPLK-3002試験のリアル試験問題 本日無料更新されました
SPLK-3002リアル試験問題解答は更新された[2023年10月26日]
質問 # 17
What are valid considerations when designing an ITSI Service? (Choose all that apply.)
- A. Service access control requirements for ITSI Team Access should be considered, and appropriate teams provisioned prior to creating the ITSI Service.
- B. Entities, entity meta-data, and entity rules should be planned carefully to support the service design and configuration.
- C. Backfill of a KPI should always be selected so historical data points can be used immediately and alerts based on that data can occur.
- D. Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index.
正解：A、B、D
解説：
Reference:
A, B, and C are correct answers because service access control requirements for ITSI Team Access should be considered before creating the ITSI Service, as different teams may have different permissions and views of the service data. Entities, entity meta-data, and entity rules should also be planned carefully to support the service design and configuration, as they determine how ITSI maps data sources to services and KPIs. Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index for faster retrieval and analysis. Reference: ITSI service design best practices, Overview of ITSI indexes
質問 # 18
Which capabilities are enabled through "teams"?
- A. Teams allow searches against the itsi_summary index.
- B. Teams restrict searches against the itsi_notable_audit index.
- C. Teams restrict notable event alert actions.
- D. Teams allow restrictions to service content in UI views.
正解：A
解説：
Explanation
Teams provide presentation-layer security only and not data-level security. It's still possible for a user with access to the Splunk search bar to look up ITSI summary index data.
質問 # 19
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
- B. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
- C. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
- D. Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
正解：B、D
質問 # 20
When in maintenance mode, which of the following is accurate?
- A. Service health scores and KPI events are deleted until the window is over.
- B. Once the window is over, KPIs and notable events will begin to be generated again.
- C. Maintenance mode slots are scheduled on a per hour basis.
- D. KPIs are shown in blue while in maintenance mode.
正解：B
質問 # 21
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?
- A. Purple
- B. Gray
- C. Gear Icon
- D. Blue
正解：B
解説：
When creating a custom deep dive, services or KPIs that are in maintenance mode are shown in gray color in the topology view. This indicates that they are not actively monitored and do not generate alerts or notable events. Reference: Deep Dives
質問 # 22
Which ITSI functions generate notable events? (Choose all that apply.)
- A. Multi-KPI alert.
- B. KPI anomaly detection.
- C. KPI threshold breaches.
- D. Correlation search.
正解：B、C、D
解説：
Explanation
After you configure KPI thresholds, you can set up alerts to notify you when aggregate KPI severities change.
ITSI generates notable events in Episode Review based on the alerting rules you configure.
Anomaly detection generates notable events when a KPI IT Service Intelligence (ITSI) deviates from an expected pattern.
Notable events are typically generated by a correlation search.
質問 # 23
ITSI Saved Search Scheduling is configured to use realtime_schedule = 0. Which statement is accurate about this configuration?
- A. If this value is set to 0, the scheduler may skip scheduled execution periods.
- B. If this value is set to 0, the scheduler might skip some execution periods to make sure that the scheduler is executing the searches running over the most recent time range.
- C. If this value is set to 0, the scheduler bases its determination of the next scheduled search on the last search execution time.
- D. If this value is set to 0, the scheduler bases its determination of the next scheduled search execution time on the current time.
正解：C
解説：
Explanation
If set to 0, the scheduler determines the next scheduled search run time based on the last run time for the search. This is called continuous scheduling.
質問 # 24
Within a correlation search, dynamic field values can be specified with what syntax?
- A. %fieldname%
- B. eval(fieldname)
- C. <fieldname /fieldname>
- D. fieldname
正解：D
質問 # 25
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
- A. Adaptive thresholding.
- B. Correlation searches.
- C. Maintenance windows
- D. Anomaly detection.
正解：A
解説：
B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. Reference: Configure adaptive thresholding for a KPI in ITSI
質問 # 26
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
- A. Adding KPI metric lanes to glass tables.
- B. Creating glass tables.
- C. Service swapping configuration.
- D. Correlation search creation.
正解：A、B、C
解説：
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
Reference:
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events. Reference: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]
質問 # 27
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
- A. ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.
- B. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.
- C. ITSI backups are stored as a collection of JSON formatted files.
- D. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
正解：B、C
解説：
Explanation
ITSI provides a kvstore_to_json.py script that lets you backup/restore ITSI configuration data, perform bulk service KPI operations, apply time zone offsets for ITSI objects, and regenerate KPI search schedules.
When you run a backup job, ITSI saves your data to a set of JSON files compressed into a single ZIP file.
質問 # 28
Where are KPI search results stored?
- A. The default index.
- B. KV Store.
- C. The itsi_summary index.
- D. Output to a CSV lookup.
正解：C
解説：
Explanation
Search results are processed, created, and written to the itsi_summary index via an alert action.
質問 # 29
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
- A. Adding KPI metric lanes to glass tables.
- B. Creating glass tables.
- C. Service swapping configuration.
- D. Correlation search creation.
正解：A、B、C
解説：
Explanation
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
質問 # 30
Which of the following are deployment recommendations for ITSI? (Choose all that apply.)
- A. Deployments should use fastest possible disk arrays for indexers.
- B. Deployments may increase the number of required indexers based on the number of KPI searches.
- C. Deployments often require an increase of hardware resources above base Splunk requirements.
- D. Deployments require a dedicated ITSI search head.
正解：B、C、D
解説：
You might need to increase the hardware specifications of your own Enterprise Security deployment above the minimum hardware requirements depending on your environment.
Install Splunk Enterprise Security on a dedicated search head or search head cluster.
The Splunk platform uses indexers to scale horizontally. The number of indexers required in an Enterprise Security deployment varies based on the data volume, data type, retention requirements, search type, and search concurrency.
Reference:
A, B, and C are correct answers because ITSI deployments often require more hardware resources than base Splunk requirements due to the high volume of data ingestion and processing. ITSI deployments also require a dedicated search head that runs the ITSI app and handles all ITSI-related searches and dashboards. ITSI deployments may also increase the number of required indexers based on the number and frequency of KPI searches, which can generate a large amount of summary data. Reference: ITSI deployment overview, ITSI deployment planning
質問 # 31
In maintenance mode, which features of KPIs still function?
- A. New KPIs can be created, but existing KPIs are locked.
- B. KPI calculations and threshold settings can be modified.
- C. KPI searches still run during maintenance mode, but results go to itsi_maintenance_summary index.
- D. KPI searches will execute but will be buffered until the maintenance window is over.
正解：D
解説：
Explanation
It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations.
質問 # 32
Which capabilities are enabled through "teams"?
- A. Teams allow restrictions to service content in UI views.
- B. Teams allow searches against the itsi_summary index.
- C. Teams restrict searches against the itsi_notable_audit index.
- D. Teams restrict notable event alert actions.
正解：A
解説：
D is the correct answer because teams allow you to restrict access to service content in UI views such as service analyzers, glass tables, deep dives, and episode review. Teams also control access to services and KPIs for editing and viewing purposes. Teams do not affect the ability to search against the itsi_summary index, restrict notable event alert actions, or restrict searches against the itsi_notable_audit index. Reference: Overview of teams in ITSI
質問 # 33
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
- A. Use | stats functions in custom fields to prepare the data for KPI calculations.
- B. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
- C. Plan to build as many data models as possible for ITSI to leverage
- D. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
正解：D
質問 # 34
Which of the following is a best practice when configuring maintenance windows?
- A. Disable any glass tables that reference a KPI that is part of an open maintenance window.
- B. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
- C. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- D. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
正解：C
解説：
It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work.
Reference:
A maintenance window is a period of time when a service or entity is undergoing maintenance operations or does not require active monitoring. It is a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations. For example, if a server will be shut down for maintenance at 1:00PM and restarted at 5:00PM, the ideal maintenance window is 12:30PM to 5:30PM. The 15- to 30-minute time buffer is a rough estimate based on 15 minutes being the time period over which most KPIs are configured to search data and identify alert triggers. Reference: Overview of maintenance windows in ITSI
質問 # 35
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
- A. ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.
- B. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.
- C. ITSI backups are stored as a collection of JSON formatted files.
- D. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
正解：B、C
解説：
ITSI provides a kvstore_to_json.py script that lets you backup/restore ITSI configuration data, perform bulk service KPI operations, apply time zone offsets for ITSI objects, and regenerate KPI search schedules.
When you run a backup job, ITSI saves your data to a set of JSON files compressed into a single ZIP file.
Reference:
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/kvstorejson
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/BackupandRestoreITSIconfig C and D are correct answers because ITSI backup and restore functionality uses kvstore_to_json.py as a command line script or as part of custom scripts to backup ITSI data for full or partial backups. ITSI backups are also stored as a collection of JSON formatted files that contain KV store objects such as services, KPIs, glass tables, etc. A is not a correct answer because there is no pre-configured default ITSI backup job provided. You can create your own backup jobs or use the command line script or custom scripts to backup ITSI data. B is not a correct answer because ITSI backup is not inclusive of index dependencies. ITSI backup only includes KV store objects and optionally some .conf files. You need to use other methods to backup index data. Reference: [Overview of backing up and restoring ITSI KV store data], [Create a full backup of ITSI], [Create a partial backup of ITSI]
質問 # 36
Which ITSI functions generate notable events? (Choose all that apply.)
- A. Multi-KPI alert.
- B. KPI anomaly detection.
- C. KPI threshold breaches.
- D. Correlation search.
正解：B、C、D
解説：
After you configure KPI thresholds, you can set up alerts to notify you when aggregate KPI severities change. ITSI generates notable events in Episode Review based on the alerting rules you configure.
Anomaly detection generates notable events when a KPI IT Service Intelligence (ITSI) deviates from an expected pattern.
Notable events are typically generated by a correlation search.
Reference:
https://docs.splunk.com/Documentation/ITSI/4.10.1/SI/AboutSI
A, B, and D are correct answers because ITSI can generate notable events when a KPI breaches a threshold, when a KPI detects an anomaly, or when a correlation search matches a defined pattern. These are the main ways that ITSI can alert you to potential issues or incidents in your IT environment. Reference: Configure KPI thresholds in ITSI, Apply anomaly detection to a KPI in ITSI, Generate events with correlation searches in ITSI
質問 # 37
Which of the following is a recommended best practice for service and glass table design?
- A. Start with base searches, then services, and then glass tables.
- B. Design glass tables first to discover which KPIs are important.
- C. Always use the standard icons for glass table widgets to improve portability.
- D. Plan and implement services first, then build detailed glass tables.
正解：B
質問 # 38
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Splunk SPLK-3002認定試験は、Splunk IT Service Intelligence（ITSI）で働く個人の知識とスキルをテストするように設計されています。 Splunk ITSIは、組織がIT運用に関する洞察を得てサービス提供を改善するのに役立つ強力な監視および分析プラットフォームです。 SPLK-3002認定を取得することにより、ITの専門家は、Splunk ITSIを使用して複雑なIT問題を解決し、サービスパフォーマンスを最適化する専門知識を実証できます。
Splunk SPLK-3002認定は、ITSI管理における候補者の熟練度を証明する業界で認められた認定です。この認定は、自身のスキルと知識を雇用主やクライアントに証明したいITプロフェッショナルにとって理想的です。また、この認定は候補者のキャリアの見通しを向上させ、新しい求人の機会を開くこともできます。認定は2年間有効であり、期限が切れた後に最新のトレンドや技術に合わせて認定を更新する必要があります。
最新のSPLK-3002学習ガイド2023年最新の- 提供するのはテストエンジンとPDF：https://jp.fast2test.com/SPLK-3002-premium-file.html
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