Question # 1
| In which index are active notable events stored? | | A. itsi_notable_archive | | B. itsi_notable_audit | | C. itsi_tracked_alerts | | D. itsi_tracked_groups |
C. itsi_tracked_alerts
Explanation:
In Splunk IT Service Intelligence (ITSI), notable events are created and managed within the context of its Event Analytics framework. These notable events are stored in the itsi_tracked_alertsindex. This index is specifically designed to hold the active notable events that are generated by ITSI's correlation searches, which are based on the conditions defined for various services and their KPIs. Notable events are essentially alerts or issues that need to be investigated and resolved. The itsi_tracked_alertsindex enables efficient storage, querying, and management of these events, facilitating the ITSI's event management and review process. The other options, such as itsi_notable_archiveanditsi_notable_audit, serve different purposes, such as archiving resolved notable events and auditing changes to notable event configurations, respectively. Therefore, the correct answer for where active notable events are stored is the itsi_tracked_alertsindex.
Question # 2
| 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. Importance weight is unused for health scoring. | | C. The service will go critical. | | D. It is a minimum health indicator KPI. |
B. Importance weight is unused for health scoring.
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.
Question # 3
| Which views would help an analyst identify that a memory usage KPI is going critical? (select all that apply) | | A. Memory KPI in a glass table. | | B. Memory panel of the OS Host Details view in the Operating System module. | | C. Memory swim lane in a Deep Dive. | | D. Service & KPI tiles in the Service Analyzer. |
A. Memory KPI in a glass table.
B. Memory panel of the OS Host Details view in the Operating System module.
C. Memory swim lane in a Deep Dive.
D. Service & KPI tiles in the Service Analyzer.
Explanation:
To identify that a memory usage KPI is going critical, an analyst can leverage multiple views within Splunk IT Service Intelligence (ITSI), each offering a different perspective or level of detail:
A. Memory KPI in a glass table: A glass table can display the current status of the memory usage KPI, along with other related KPIs and services, providing a high-level overview of system health.
B. Memory panel of the OS Host Details view in the Operating System module: This specific panel within the OS Host Details view offers detailed metrics and trends related to memory usage, allowing for in-depth analysis.
C. Memory swim lane in a Deep Dive: Deep Dives allow analysts to visually track the performance and status of KPIs over time. A swim lane dedicated to memory usage can highlight periods where the KPI goes critical, along with the context of other related KPIs.
D. Service & KPI tiles in the Service Analyzer: The Service Analyzer provides a comprehensive overview of all services and their KPIs. The tiles related to memory usage can quickly alert analysts to critical conditions through color-coded indicators.
Each of these views contributes to a comprehensive monitoring strategy, enabling analysts to detect and respond to critical memory usage conditions from various analytical perspectives.
Question # 4
Which of the following are characteristics of ITSI service dependencies? (select all that apply)
| A. If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.
| B. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.
| C. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
| D. Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.
|
B. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.
C. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
Explanation:
In the context of Splunk IT Service Intelligence (ITSI), service dependencies allow for the modeling of relationships between services, where the health of one service (dependent) can affect the health of another (primary).
B.It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service:Utilizing the 'ServiceHealthScore' KPI of a dependent service as part of the primary service's health calculation is a recommended practice. This approach ensures that changes in the health of the dependent service directly influence the primary service's overall health score, providing a more holistic view of service health within the IT environment.
C.Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score:When a dependent service's KPI is incorporated into a primary service, the importance level assigned to this KPI is factored into the primary service's overall health score calculation just like any other KPI. This means that the impact of the dependent service on the primary service can be weighted according to the business significance of the relationship between the services.
The other options are not accurate representations of ITSI service dependencies. Changes in KPI importance levels do not break dependencies, and there is no restriction on configuring impactful dependent services to only one primary service, as dependencies can be complex and multi-layered across various services.
Question # 5
Which of the following are deployment recommendations for ITSI? (Choose all that apply.)
| | A. Deployments often require an increase of hardware resources above base Splunk requirements. | B. Deployments require a dedicated ITSI search head.
| C. Deployments may increase the number of required indexers based on the number of KPI searches.
| D. Deployments should use fastest possible disk arrays for indexers.
|
A. Deployments often require an increase of hardware resources above base Splunk requirements. B. Deployments require a dedicated ITSI search head.
C. Deployments may increase the number of required indexers based on the number of KPI searches.
Explanation:
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:
[Reference: https://docs.splunk.com/Documentation/ES/latest/Install/DeploymentPlanning, 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. References: ITSI deployment overview, ITSI deployment planning]
Question # 6
| Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment? | | A. Only include KPIs if they will be used in multiple services. | | B. Analyze the business to determine the most critical services. | | C. Focus on low-level services. | | D. Define a large number of key services early. |
B. Analyze the business to determine the most critical services.
Reference: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/MKA, 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. References: Service Analyzer, , ]
Question # 7
| Which of the following is a good use case regarding defining entities for a service? | | A. Automatically associate entities to services using multiple entity aliases. | | B. All of the entities have the same identifying field name. | | C. Being able to split a CPU usage KPI by host name. | | D. KPI total values are aggregated from multiple different category values in the source events. |
A. Automatically associate entities to services using multiple entity aliases.
Explanation:
Define entities before creating services. When you configure a service, you can specify entity matching rules based on entity aliases that automatically add the entities to your service.
Reference: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Entity/About
A is the correct answer because defining entities for a service allows you to automatically associate entities to services using multiple entity aliases. Entity aliases are alternative names or identifiers for an entity, such as host name, IP address, MAC address, or DNS name. ITSI matches entity aliases to fields in your data sources and assigns entities to services accordingly. This way, you can avoid manually adding entities to each service and ensure that your services reflect the latest changes in your environment.
References: Define entities for a service in ITSI]
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