SPLK-3002 Exam Brain Dumps - Study Notes and Theory [Oct-2023]
100% Guaranteed Results SPLK-3002 Unlimited 54 Questions
NEW QUESTION # 31
Where are KPI search results stored?
- A. The default index.
- B. Output to a CSV lookup.
- C. The itsi_summary index.
- D. KV Store.
Answer: C
Explanation:
Explanation
Search results are processed, created, and written to the itsi_summary index via an alert action.
NEW QUESTION # 32
When deploying ITSI on a distributed Splunk installation, which component must be installed on the search head(s)?
- A. All ITSI components
- B. ITSI app
- C. SA-ITSI-Licensechecker
- D. SA-ITOA
Answer: C
Explanation:
Explanation
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.
NEW QUESTION # 33
What effects does the KPI importance weight of 11 have on the overall health score of a service?
- A. It is a minimum health indicator KPI.
- B. At least 10% of the KPIs will go critical.
- C. Importance weight is unused for health scoring.
- D. The service will go critical.
Answer: A
NEW QUESTION # 34
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?
- A. Gray
- B. Blue
- C. Gear Icon
- D. Purple
Answer: A
Explanation:
Explanation
Services, entities, and KPIs that are fully or partially impacted by a maintenance window appear in a dark gray color on pages that display health scores, including service analyzers, service and entity details pages, glass tables, multi-KPI alerts, and deep dives.
NEW QUESTION # 35
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
- A. Adaptive thresholding.
- B. Maintenance windows
- C. Anomaly detection.
- D. Correlation searches.
Answer: A
Explanation:
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
NEW QUESTION # 36
When changing a service template, which of the following will be added to linked services by default?
- A. Health score.
- B. New KPIs.
- C. Thresholds.
- D. Entity Rules.
Answer: B
Explanation:
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.
NEW QUESTION # 37
Besides creating notable events, what are the default alert actions a correlation search can execute? (Choose all that apply.)
- A. Ping a host.
- B. Include in RSS feed.
- C. Run a script.
- D. Send email.
Answer: B,C,D
Explanation:
Throttling applies to any correlation search alert type, including notable events and actions (RSS feed, email, run script, and ticketing).
Reference:
B, C, and D are correct answers because they are the default alert actions that a correlation search can execute besides creating notable events. You can configure a correlation search to send an email, include the results in an RSS feed, or run a custom script when the search matches a defined pattern. Ping a host is not a default alert action for correlation searches. Reference: Configure correlation search settings in ITSI
NEW QUESTION # 38
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
- A. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.
- B. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
- C. ITSI backups are stored as a collection of JSON formatted files.
- D. ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.
Answer: A,C
Explanation:
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.
NEW QUESTION # 39
Which of the following are deployment recommendations for ITSI? (Choose all that apply.)
- A. Deployments require a dedicated ITSI search head.
- B. Deployments often require an increase of hardware resources above base Splunk requirements.
- C. Deployments should use fastest possible disk arrays for indexers.
- D. Deployments may increase the number of required indexers based on the number of KPI searches.
Answer: A,B,D
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:
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
NEW QUESTION # 40
Which of the following is an advantage of using adaptive time thresholds?
- A. Automatically adjust KPI calculation to manage dynamic event data.
- B. Automatically adjust correlation search thresholds to adjust sensitivity over time.
- C. Automatically update thresholds daily to manage dynamic changes to KPI values.
- D. Automatically adjust aggregation policy grouping to manage escalating severity.
Answer: C
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 # 41
What is the main purpose of the service analyzer?
- A. Trigger external alerts based on threshold violations.
- B. Allow Analysts to add comments to Alerts.
- C. Display a list of All Services and Entities.
- D. Monitor overall Service and KPI status.
Answer: B
NEW QUESTION # 42
Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)
- A. Comparing swim lane values for a slice of time.
- B. Visualizing one or more Service KPIs values by time.
- C. Examining and comparing alert levels for KPIs in a service over time.
- D. Comparing a service's notable events over a time period.
Answer: A,B,C
NEW QUESTION # 43
Which of the following describes enabling smart mode for an aggregation policy?
- A. Configure -> Policies -> Smart Mode -> Enable, select "fields", click "Save"
- B. Edit the aggregation policy, enable smart mode, select fields to analyze, 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:
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 # 44
How do you automatically restrict a KPI to only the entities in its service, and generate KPI values for each entity?
- A. Select "No" for "Split by Entity" and "Yes" for "Filter to Entities in Service".
- B. Select "No" for both "Split by Entity" and "Filter to Entities in Service".
- C. Select "Yes" for both "Split by Entity" and "Filter to Entities in Service".
- D. Select "Yes" for "Split by Entity" and "No" for "Filter to Entities in Service".
Answer: C
NEW QUESTION # 45
Which of the following describes a realistic troubleshooting workflow in ITSI?
- A. Service Analyzer -> Aggregation Policy -> Deep Dive
- B. Correlation search -> KPI -> Aggregation Policy
- C. Correlation Search -> Deep Dive -> Notable Event
- D. Service Analyzer -> Notable Event Review -> Deep Dive
Answer: D
Explanation:
A realistic troubleshooting workflow in ITSI is:
B) Service Analyzer -> Notable Event Review -> Deep Dive
This workflow involves using the Service Analyzer dashboard to monitor the health and performance of your services and KPIs, using the Notable Event Review dashboard to investigate and manage the notable events generated by ITSI, and using the Deep Dive dashboard to analyze the historical trends and anomalies of your KPIs and metrics.
The other workflows are not realistic because they involve components that are not part of the troubleshooting process, such as correlation search, aggregation policy, and KPI. These components are used to create and configure the alerts and episodes that ITSI generates, not to investigate and resolve them. Reference: [Service Analyzer dashboard in ITSI], Overview of Episode Review in ITSI, [Overview of deep dives in ITSI]
NEW QUESTION # 46
Anomaly detection can be enabled on which one of the following?
- A. Service
- B. Entity
- C. Multi-KPI alert
- 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 # 47
Which of the following is an advantage of using adaptive time thresholds?
- A. Automatically adjust KPI calculation to manage dynamic event data.
- B. Automatically adjust correlation search thresholds to adjust sensitivity over time.
- C. Automatically update thresholds daily to manage dynamic changes to KPI values.
- D. Automatically adjust aggregation policy grouping to manage escalating severity.
Answer: C
NEW QUESTION # 48
When must a service define entity rules?
- A. To enable entity cohesion anomaly detection.
- B. If some or all of the KPIs in the service will be split by entity.
- C. If the intention is for the KPIs in the service to have different aggregate vs. entity KPI values.
- D. If the intention is for the KPIs in the service to filter to only entities assigned to the service.
Answer: D
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 # 49
Which index will contain useful error messages when troubleshooting ITSI issues?
- A. itsi_summary
- B. _internal
- C. _introspection
- D. itsi_notable_audit
Answer: B
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 # 50
Which capabilities are enabled through "teams"?
- A. Teams allow restrictions to service content in UI views.
- B. Teams restrict notable event alert actions.
- C. Teams restrict searches against the itsi_notable_audit index.
- D. Teams allow searches against the itsi_summary index.
Answer: A
Explanation:
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
NEW QUESTION # 51
Which of the following best describes a default deep dive?
- A. It initially shows the health scores for all services.
- B. It initially shows all the entity swim lanes.
- C. It initially shows the highest importance KPIs.
- D. It initially shows all of the KPIs for a selected service.
Answer: D
Explanation:
Reference:
C is the correct answer because a default deep dive initially shows all of the KPIs for a selected service. You can create a default deep dive by drilling down from another dashboard or by selecting a service from the deep dive lister page. A default deep dive does not show health scores, importance scores, or entity swim lanes by default. Reference: [Create default deep dives for services in ITSI]
NEW QUESTION # 52
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
- B. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
- 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.
Answer: A,D
Explanation:
Reference:
Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection:
B) A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare different entities within a service.
C) Anomaly detection automatically generates notable events when KPI data diverges from the pattern. You can configure the sensitivity and severity of the anomaly detection alerts and assign them to episodes or teams. Reference: [Anomaly Detection]
NEW QUESTION # 53
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?
- A. Gray
- B. Blue
- C. Gear Icon
- D. Purple
Answer: A
Explanation:
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
NEW QUESTION # 54
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