[Nov-2023] 100% Actual SPLK-3002 dumps Q&As with Explanations Verified & Correct Answers
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NEW QUESTION # 30
Which index will contain useful error messages when troubleshooting ITSI issues?
- A. _internal
- B. itsi_summary
- C. itsi_notable_audit
- D. _introspection
Answer: A
Explanation:
Reference:
The index that will contain useful error messages when troubleshooting ITSI issues is:
B) _internal. This is true because the _internal index contains logs and metrics generated by Splunk processes, such as splunkd and metrics.log. These logs can help you diagnose problems with your Splunk environment, including ITSI components and features.
The other indexes will not contain useful error messages because:
A) _introspection. This is not true because the _introspection index contains data about Splunk resource usage, such as CPU, memory, disk space, and so on. These data can help you monitor the performance and health of your Splunk environment, but not the error messages.
C) itsi_summary. This is not true because the itsi_summary index contains summarized data for your KPIs and services, such as health scores, severity levels, threshold values, and so on. These data can help you analyze the trends and anomalies of your IT services, but not the error messages.
D) itsi_notable_audit. This is not true because the itsi_notable_audit index contains audit data for your notable events and episodes, such as creation time, owner
NEW QUESTION # 31
What effects does the KPI importance weight of 11 have on the overall health score of a service?
- A. The service will go critical.
- B. Importance weight is unused for health scoring.
- C. It is a minimum health indicator KPI.
- D. At least 10% of the KPIs will go critical.
Answer: C
NEW QUESTION # 32
Which of the following is a good use case regarding defining entities for a service?
- A. KPI total values are aggregated from multiple different category values in the source events.
- B. Automatically associate entities to services using multiple entity aliases.
- C. All of the entities have the same identifying field name.
- D. Being able to split a CPU usage KPI by host name.
Answer: B
Explanation:
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.
NEW QUESTION # 33
Which of the following is a good use case regarding defining entities for a service?
- A. KPI total values are aggregated from multiple different category values in the source events.
- B. Automatically associate entities to services using multiple entity aliases.
- C. All of the entities have the same identifying field name.
- D. Being able to split a CPU usage KPI by host name.
Answer: B
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:
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. Reference: Define entities for a service in ITSI
NEW QUESTION # 34
Which of the following describes enabling smart mode for an aggregation policy?
- A. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
- B. Configure -> Policies -> Smart Mode -> Enable, select "fields", click "Save"
- C. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
- D. Edit the notable event view, enable smart mode, select "fields", and click "Save"
Answer: A
Explanation:
1. From the ITSI main menu, click Configuration > Notable Event Aggregation Policies.
2. Select a custom policy or the Default Policy.
3. Under Smart Mode grouping, enable Smart Mode.
4. Click Select fields. A dialog displays the fields found in your notable events from the last 24 hours.
Reference:
C is the correct answer because smart mode is a feature of aggregation policies that allows ITSI to automatically group notable events based on the fields that have the most impact on the event occurrence. You can enable smart mode for an aggregation policy by editing the policy, selecting the smart mode option, and choosing the fields to analyze. You can also specify a minimum number of events to trigger smart mode and a maximum number of groups to create. Reference: Configure smart mode for aggregation policies in ITSI
NEW QUESTION # 35
Which of the following is the best use case for configuring a Multi-KPI Alert?
- A. Comparing content between two notable events.
- B. Raising an alert when one or more KPIs indicate an outage is occurring.
- C. Comparing anomaly detection between two KPIs.
- D. Using machine learning to evaluate when data falls outside of an expected pattern.
Answer: A
NEW QUESTION # 36
What is an episode?
- A. A deep dive.
- B. A notable event group.
- C. A workflow task.
- D. A notable event.
Answer: D
Explanation:
Explanation
It's a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation.
NEW QUESTION # 37
Which ITSI functions generate notable events? (Choose all that apply.)
- A. KPI threshold breaches.
- B. Correlation search.
- C. KPI anomaly detection.
- D. Multi-KPI alert.
Answer: A,B,C
Explanation:
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.
NEW QUESTION # 38
Which deep dive swim lane type does not require writing SPL?
- A. KPI lane.
- B. Metric lane.
- C. Event lane.
- D. Automatic lane.
Answer: D
Explanation:
Explanation
Among all the search configurations, automatic lane doesn't need to be written in Splunk Processing language.
NEW QUESTION # 39
Which of the following applies when configuring time policies for KPI thresholds?
- A. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00
- B. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it.
- C. A person can only configure 24 policies, one for each hour of the day.
- D. It is possible for multiple time policies to overlap.
Answer: A
Explanation:
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.
NEW QUESTION # 40
Which ITSI functions generate notable events? (Choose all that apply.)
- A. KPI threshold breaches.
- B. Correlation search.
- C. KPI anomaly detection.
- D. Multi-KPI alert.
Answer: A,B,C
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.
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
NEW QUESTION # 41
Which of the following are the default ports that must be configured on Splunk to use ITSI?
- A. SplunkWeb (8089), SplunkD (8088), and HTTP Collector (8000)
- B. SplunkWeb (8088), SplunkD (8089), and HTTP Collector (8000)
- C. SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088)
- D. SplunkWeb (8405), SplunkD (8519), and HTTP Collector (8628)
Answer: C
Explanation:
Reference:
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. Reference: Ports used by ITSI
NEW QUESTION # 42
In Episode Review, what is the result of clicking an episode's Acknowledge button?
- A. Change status from New to Acknowledged.
- B. Change status from New to Acknowledged and assign the current user as owner.
- C. Change status from New to In Progress and assign the current user as owner.
- D. Assign the current user as owner.
Answer: C
Explanation:
Explanation
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
NEW QUESTION # 43
Anomaly detection can be enabled on which one of the following?
- A. Service
- B. Multi-KPI alert
- C. Entity
- D. KPI
Answer: D
Explanation:
Explanation
Enable anomaly detection to identify trends and outliers in KPI search results that might indicate an issue with your system.
NEW QUESTION # 44
Which index is used to store KPI values?
- A. itsi_summary
- B. itsi_summary_metrics
- C. itsi_service_health
- D. itsi_metrics
Answer: B
Explanation:
The IT Service Intelligence (ITSI) metrics summary index, itsi_summary_metrics, is a metrics-based summary index that stores KPI data.
Reference:
A is the correct answer because the itsi_summary_metrics index is used to store KPI values in ITSI. This index improves the performance of the searches dispatched by ITSI, particularly for very large environments. Every KPI is summarized in both the itsi_summary events index and the itsi_summary_metrics metrics index. Reference: Overview of ITSI indexes
NEW QUESTION # 45
Which of the following describes enabling smart mode for an aggregation policy?
- A. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
- B. Configure -> Policies -> Smart Mode -> Enable, select "fields", click "Save"
- C. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
- D. Edit the notable event view, enable smart mode, select "fields", and click "Save"
Answer: B
Explanation:
Explanation
1. From the ITSI main menu, click Configuration > Notable Event Aggregation Policies.
2. Select a custom policy or the Default Policy.
3. Under Smart Mode grouping, enable Smart Mode.
4. Click Select fields. A dialog displays the fields found in your notable events from the last 24 hours.
NEW QUESTION # 46
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
- B. Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
- C. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
- D. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
Answer: B,D
NEW QUESTION # 47
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?
- A. 6 months.
- B. 9 months.
- C. 1 year.
- D. 3 months.
Answer: A
Explanation:
By default, notable event metadata is archived after six months to keep the KV store from growing too large.
NEW QUESTION # 48
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
- A. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
- B. Use | stats functions in custom fields to prepare the data for KPI calculations.
- C. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
- D. Plan to build as many data models as possible for ITSI to leverage
Answer: C
NEW QUESTION # 49
Which of the following describes a realistic troubleshooting workflow in ITSI?
- A. Service Analyzer -> Notable Event Review -> Deep Dive
- B. Service Analyzer -> Aggregation Policy -> Deep Dive
- C. Correlation search -> KPI -> Aggregation Policy
- D. Correlation Search -> Deep Dive -> Notable Event
Answer: D
NEW QUESTION # 50
Anomaly detection can be enabled on which one of the following?
- A. Service
- B. Multi-KPI alert
- C. Entity
- D. KPI
Answer: D
Explanation:
A is the correct answer because anomaly detection can be enabled on a KPI level in ITSI. Anomaly detection allows you to identify trends and outliers in KPI search results that might indicate an issue with your system. You can enable anomaly detection for a KPI by selecting one of the two anomaly detection algorithms in the KPI configuration panel. Reference: Apply anomaly detection to a KPI in ITSI
NEW QUESTION # 51
When must a service define entity rules?
- A. If some or all of the KPIs in the service will be split by entity.
- B. If the intention is for the KPIs in the service to have different aggregate vs. entity KPI values.
- C. If the intention is for the KPIs in the service to filter to only entities assigned to the service.
- D. To enable entity cohesion anomaly detection.
Answer: C
Explanation:
Explanation
Provide a value to filter the service to a specific set of entities. These entity rule values are meant to be custom for each service.
NEW QUESTION # 52
Which index contains ITSI Episodes?
- A. itsi_summary
- B. itsi_tracked_alerts
- C. itsi_notable_archive
- D. itsi_grouped_alerts
Answer: C
NEW QUESTION # 53
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