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Splunk SPLK-3002試験は、60の複数選択と複数選択の質問で構成されており、90分以内に完了する必要があります。この試験は英語と日本語で入手でき、ピアソンvueテストセンターでオンラインまたは対面で撮影できます。成功した候補者は、2年間有効なSplunk ITSI認定管理者認定を受け取ります。この認定は、個人がITSIの展開を管理および維持するために必要な知識とスキルを持っており、組織がITおよびビジネスサービスを改善するのに役立つことを示しています。
質問 # 18
Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment?
- A. Define a large number of key services early.
- B. Only include KPIs if they will be used in multiple services.
- C. Focus on low-level services.
- D. Analyze the business to determine the most critical services.
正解：D
解説：
Reference:
A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference: Service Analyzer
質問 # 19
What are valid considerations when designing an ITSI Service? (Choose all that apply.)
- A. Entities, entity meta-data, and entity rules should be planned carefully to support the service design and configuration.
- B. Backfill of a KPI should always be selected so historical data points can be used immediately and alerts based on that data can occur.
- C. Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index.
- D. Service access control requirements for ITSI Team Access should be considered, and appropriate teams provisioned prior to creating the ITSI Service.
正解：A、C、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 # 20
Which of the following applies when configuring time policies for KPI thresholds?
- A. A person can only configure 24 policies, one for each hour of the day.
- B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00
- C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it.
- D. It is possible for multiple time policies to overlap.
正解：B
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.
質問 # 21
Which of the following is the best use case for configuring a Multi-KPI Alert?
- A. Comparing anomaly detection between two KPIs.
- B. Using machine learning to evaluate when data falls outside of an expected pattern.
- C. Raising an alert when one or more KPIs indicate an outage is occurring.
- D. Comparing content between two notable events.
正解：C
解説：
Reference:
A multi-KPI alert is a type of correlation search that is based on defined trigger conditions for two or more KPIs. When trigger conditions occur simultaneously for each KPI, the search generates a notable event. For example, you might create a multi-KPI alert based on two common KPIs: CPU load percent and web requests. A sudden simultaneous spike in both CPU load percent and web request KPIs might indicate a DDOS (Distributed Denial of Service) attack. Multi-KPI alerts can bring such trending behaviors to your attention early, so that you can take action to minimize any impact on performance. Multi-KPI alerts are useful for correlating the status of multiple KPIs across multiple services. They help you identify causal relationships, investigate root cause, and provide insights into behaviors across your infrastructure. The best use case for configuring a multi-KPI alert is to raise an alert when one or more KPIs indicate an outage is occurring, such as when the service health score drops below a certain threshold or when multiple KPIs have critical severity levels. Reference: Create multi-KPI alerts in ITSI
質問 # 22
Which of the following is the best use case for configuring a Multi-KPI Alert?
- A. Comparing anomaly detection between two KPIs.
- B. Comparing content between two notable events.
- C. Using machine learning to evaluate when data falls outside of an expected pattern.
- D. Raising an alert when one or more KPIs indicate an outage is occurring.
正解：B
質問 # 23
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
- A. Correlation searches.
- B. Adaptive thresholding.
- C. Maintenance windows
- D. Anomaly detection.
正解：B
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 # 24
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. ITSI backups are stored as a collection of JSON formatted files.
- C. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
- D. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.
正解：B、D
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 # 25
When changing a service template, which of the following will be added to linked services by default?
- A. Thresholds.
- B. Entity Rules.
- C. Health score.
- D. New KPIs.
正解：D
解説：
C) New KPIs. This is true because when you add new KPIs to a service template, they will be automatically added to all the services that are linked to that template. This helps you keep your services consistent and up-to-date with the latest KPI definitions.
The other options will not be added to linked services by default because:
A) Thresholds. This is not true because when you change thresholds in a service template, they will not affect the existing thresholds in the linked services. You need to manually apply the threshold changes to each linked service if you want them to inherit the new thresholds from the template.
B) Entity rules. This is not true because when you change entity rules in a service template, they will not affect the existing entity rules in the linked services. You need to manually apply the entity rule changes to each linked service if you want them to inherit the new entity rules from the template.
D) Health score. This is not true because when you change health score settings in a service template, they will not affect the existing health score settings in the linked services. You need to manually apply the health score changes to each linked service if you want them to inherit the new health score settings from the template.
質問 # 26
Which scenario would benefit most by implementing ITSI?
- A. Monitoring of business services functionality.
- B. Monitoring of system process statuses
- C. Monitoring of system hardware.
- D. Monitoring of retail sales metrics.
正解：A
質問 # 27
Which of the following is a characteristic of base searches?
- A. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.
- B. The base search will execute whether or not a KPI needs it.
- C. Search expression, entity splitting rules, and thresholds are configured at the base search level.
- D. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
正解：D
解説：
Reference:
A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. One of the characteristics of base searches is that it is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs. This means that you can use entity filtering rules to specify which entities are relevant for each KPI based on the base search results. Reference: Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]
質問 # 28
When deploying ITSI on a distributed Splunk installation, which component must be installed on the search head(s)?
- A. SA-ITOA
- B. ITSI app
- C. All ITSI components
- D. SA-ITSI-Licensechecker
正解：B
解説：
Install SA-ITSI-Licensechecker and SA-UserAccess on any license master in a distributed or search head cluster environment. If a search head in your environment is also a license master, the license master components are installed when you install ITSI on the search heads.
Reference:
When deploying ITSI on a distributed Splunk installation, the component that must be installed on the search head(s) is the ITSI app. The ITSI app contains the main features and functionality of ITSI, such as service creation and management, KPI configuration, glass table creation and editing, episode review, deep dives, and so on. The ITSI app also contains some add-ons that provide additional functionality, such as SA-ITOA (IT Operations Analytics), SA-UserAccess (User Access Management), and SA-Utils (Utility Functions). The ITSI app must be installed on the search head(s) because it handles the search management and presentation functions for ITSI. Reference: Install IT Service Intelligence in a distributed environment
質問 # 29
What effects does the KPI importance weight of 11 have on the overall health score of a service?
- A. At least 10% of the KPIs will go critical.
- B. The service will go critical.
- C. Importance weight is unused for health scoring.
- D. It is a minimum health indicator KPI.
正解：C
解説：
Reference:
The KPI importance weight is a value that indicates how much a KPI contributes to the overall health score of a service. The importance weight can range from 1 (lowest) to 10 (highest). The statement that applies when configuring a KPI importance weight of 11 is:
B) Importance weight is unused for health scoring. This is true because an importance weight of 11 is invalid and cannot be used for health scoring. The maximum value for importance weight is 10.
The other statements do not apply because:
A) At least 10% of the KPIs will go critical. This is not true because an importance weight of 11 does not affect the severity level of any KPIs.
C) The service will go critical. This is not true because an importance weight of 11 does not affect the health score or status of any service.
D) It is a minimum health indicator KPI. This is not true because an importance weight of 11 does not indicate anything about the minimum health level of a KPI.
質問 # 30
Which deep dive swim lane type does not require writing SPL?
- A. Event lane.
- B. Automatic lane.
- C. Metric lane.
- D. KPI lane.
正解：D
解説：
A KPI lane is a type of deep dive swim lane that does not require writing SPL. You can simply select a service and a KPI from a drop-down list and ITSI will automatically populate the lane with the corresponding data. You can also adjust the threshold settings and time range for the KPI lane. Reference: [KPI Lanes]
質問 # 31
What is the main purpose of the service analyzer?
- A. Display a list of All Services and Entities.
- B. Allow Analysts to add comments to Alerts.
- C. Monitor overall Service and KPI status.
- D. Trigger external alerts based on threshold violations.
正解：C
解説：
Reference:
The service analyzer is a dashboard that allows you to monitor the overall service and KPI status in ITSI. The service analyzer displays a list of all services and their health scores, which indicate how well each service is performing based on its KPIs. You can also view the status and values of each KPI within a service, as well as drill down into deep dives or glass tables for further analysis. The service analyzer helps you identify issues affecting your services and prioritize them based on their impact and urgency. The main purpose of the service analyzer is:
D) Monitor overall service and KPI status. This is true because the service analyzer provides a comprehensive view of the health and performance of your services and KPIs in real time.
The other options are not the main purpose of the service analyzer because:
A) Display a list of all services and entities. This is not true because the service analyzer does not display entities, which are IT components that require management to deliver an IT service. Entities are displayed in other dashboards, such as entity management or entity health overview.
B) Trigger external alerts based on threshold violations. This is not true because the service analyzer does not trigger alerts, which are notifications sent to external systems or users when certain conditions are met. Alerts are triggered by correlation searches or alert actions configured in ITSI.
C) Allow analysts to add comments to alerts. This is not true because the service analyzer does not allow analysts to add comments to alerts, which are notifications sent to external systems or users
質問 # 32
Which capabilities are enabled through "teams"?
- A. Teams restrict searches against the itsi_notable_audit index.
- B. Teams allow searches against the itsi_summary index.
- C. Teams allow restrictions to service content in UI views.
- D. Teams restrict notable event alert actions.
正解：B
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 # 33
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