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NEW QUESTION # 76
ITSI Saved Search Scheduling is configured to use realtime_schedule = 0. Which statement is accurate about this configuration?
Answer: D
Explanation:
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.
NEW QUESTION # 77
What is the main purpose of the service analyzer?
Answer: B
NEW QUESTION # 78
Which of the following describes entities? (Choose all that apply.)
Answer: B,C
Explanation:
Reference:
Entities are IT components that require management to deliver an IT service. Each entity has specific attributes and relationships to other IT processes that uniquely identify it. Entities contain alias fields and informational fields that ITSI associates with indexed events. Some statements that describe entities are:
B) An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service. An abstract entity is an entity that does not represent a physical host or device, but rather a logical grouping of data sources. For example, you can create an abstract entity for each business unit in your organization and use it to split by for a KPI that measures revenue or customer satisfaction. However, you cannot use entity rules or filtering to limit data to a specific service based on abstract entities, because they do not have alias fields that match indexed events.
D). To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service". This option allows you to filter the data sources for a KPI by the entities that are assigned to the service. For example, if you have a service for web servers and you want to monitor the CPU load percent for each web server entity, you can select this option to ensure that only the events from those entities are used for the KPI calculation.
NEW QUESTION # 79
When installing ITSI to support a Distributed Search Architecture, which of the following items apply? (Choose all that apply.)
Answer: D
Explanation:
Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.
Reference:
A is the correct answer because when installing ITSI to support a distributed search architecture, you need to copy SA-IndexCreation to all indexers. SA-IndexCreation is an app that contains the definitions of the ITSI indexes, such as itsi_summary, itsi_tracked_alerts, itsi_grouped_alerts, etc. You need to copy this app to all indexers to ensure that they can store and search the ITSI data. B is not a correct answer because you do not need to copy SA-IndexCreation to the etc/apps directory on the index cluster master node. The index cluster master node does not store or search data, it only manages the replication and availability of data across the index cluster peers. C is not a correct answer because you do not need to extract the installer package into etc/apps directory of the cluster deployer node. The cluster deployer node is used to distribute apps and configuration updates to the search head cluster members. You need to extract the installer package into etc/shcluster/apps directory of the cluster deployer node instead. D is not a correct answer because you do not need to extract the ITSI app package into etc/apps directory of search head. You need to extract the ITSI app package into etc/shcluster/apps directory of the cluster deployer node and use the deployer to push the app to all search head cluster members. Reference: [Install Splunk IT Service Intelligence on a search head cluster], [Install Splunk IT Service Intelligence on an indexer cluster]
NEW QUESTION # 80
Which of the following is an advantage of using adaptive time thresholds?
Answer: B
Explanation:
Reference:
Adaptive thresholds are thresholds calculated by machine learning algorithms that dynamically adapt and change based on the KPI's observed behavior. Adaptive thresholds are useful for monitoring KPIs that have unpredictable or seasonal patterns that are difficult to capture with static thresholds. For example, you might use adaptive thresholds for a KPI that measures web traffic volume, which can vary depending on factors such as holidays, promotions, events, and so on. The advantage of using adaptive thresholds is:
A) Automatically update thresholds daily to manage dynamic changes to KPI values. This is true because adaptive thresholds use historical data from a training window to generate threshold values for each time block in a threshold template. Each night at midnight, ITSI recalculates adaptive threshold values for a KPI by organizing the data from the training window into distinct buckets and then analyzing each bucket separately. This way, the thresholds reflect the most recent changes in the KPI data and account for any anomalies or trends.
The other options are not advantages of using adaptive thresholds because:
B) Automatically adjust KPI calculation to manage dynamic event data. This is not true because adaptive thresholds do not affect the KPI calculation, which is based on the base search and the aggregation method. Adaptive thresholds only affect the threshold values that are used to determine the KPI severity level.
C) Automatically adjust aggregation policy grouping to manage escalating severity. This is not true because adaptive thresholds do not affect the aggregation policy, which is a set of rules that determines how to group notable events into episodes. Adaptive thresholds only affect the threshold values that are used to generate notable events based on KPI severity level.
D) Automatically adjust correlation search thresholds to adjust sensitivity over time. This is not true because adaptive thresholds do not affect the correlation search, which is a search that looks for relationships between data points and generates notable events. Adaptive thresholds only affect the threshold values that are used by KPIs, which can be used as inputs for correlation searches.
NEW QUESTION # 81
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