Free Splunk SPLK-3002 Exam 2023 Practice Materials Collection
SPLK-3002 Exam Info and Free Practice Test All-in-One Exam Guide Oct-2023
NEW QUESTION # 14
In maintenance mode, which features of KPIs still function?
- A. KPI searches still run during maintenance mode, but results go to itsi_maintenance_summary index.
- B. KPI searches will execute but will be buffered until the maintenance window is over.
- C. New KPIs can be created, but existing KPIs are locked.
- D. KPI calculations and threshold settings can be modified.
Answer: B
Explanation:
Explanation
It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations.
NEW QUESTION # 15
Which index will contain useful error messages when troubleshooting ITSI issues?
- A. itsi_summary
- B. _internal
- C. _introspection
- D. itsi_notable_audit
Answer: B
NEW QUESTION # 16
Within a correlation search, dynamic field values can be specified with what syntax?
- A. fieldname
- B. %fieldname%
- C. <fieldname /fieldname>
- D. eval(fieldname)
Answer: A
NEW QUESTION # 17
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 both "Split by Entity" and "Filter to Entities in Service".
- B. Select "Yes" for both "Split by Entity" and "Filter to Entities in Service".
- C. Select "No" for "Split by Entity" and "Yes" for "Filter to Entities in Service".
- D. Select "Yes" for "Split by Entity" and "No" for "Filter to Entities in Service".
Answer: B
NEW QUESTION # 18
Which of the following describes enabling smart mode for an aggregation policy?
- A. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
- B. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
- C. Configure -> Policies -> Smart Mode -> Enable, select "fields", 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 # 19
What is the main purpose of the service analyzer?
- A. Trigger external alerts based on threshold violations.
- B. Monitor overall Service and KPI status.
- C. Allow Analysts to add comments to Alerts.
- D. Display a list of All Services and Entities.
Answer: C
NEW QUESTION # 20
Which of the following is an advantage of using adaptive time thresholds?
- A. Automatically adjust correlation search thresholds to adjust sensitivity over time.
- B. Automatically adjust KPI calculation to manage dynamic event data.
- C. Automatically adjust aggregation policy grouping to manage escalating severity.
- D. Automatically update thresholds daily to manage dynamic changes to KPI values.
Answer: D
NEW QUESTION # 21
Which of the following is a recommended best practice for service and glass table design?
- A. Always use the standard icons for glass table widgets to improve portability.
- B. Design glass tables first to discover which KPIs are important.
- C. Plan and implement services first, then build detailed glass tables.
- D. Start with base searches, then services, and then glass tables.
Answer: B
NEW QUESTION # 22
Where are KPI search results stored?
- A. The itsi_summary index.
- B. Output to a CSV lookup.
- C. KV Store.
- D. The default index.
Answer: A
Explanation:
Explanation
Search results are processed, created, and written to the itsi_summary index via an alert action.
NEW QUESTION # 23
What are valid considerations when designing an ITSI Service? (Choose all that apply.)
- A. Service access control requirements for ITSI Team Access should be considered, and appropriate teams provisioned prior to creating the ITSI Service.
- B. Entities, entity meta-data, and entity rules should be planned carefully to support the service design and configuration.
- C. Backfill of a KPI should always be selected so historical data points can be used immediately and alerts based on that data can occur.
- D. Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index.
Answer: A,D
NEW QUESTION # 24
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. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
- C. Plan to build as many data models as possible for ITSI to leverage
- D. Use | stats functions in custom fields to prepare the data for KPI calculations.
Answer: B
Explanation:
Reference:
When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:
B) Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data. This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.
The other options are not things you should consider because:
A) Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using | stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs. You should use | stats functions only in base searches or ad hoc searches, not in custom fields.
C) Make sure that all fields conform to CIM, then use the corresponding module to import related services. This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.
D) Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.
NEW QUESTION # 25
In Episode Review, what is the result of clicking an episode's Acknowledge button?
- A. Change status from New to In Progress and assign the current user as owner.
- B. Change status from New to Acknowledged and assign the current user as owner.
- C. Assign the current user as owner.
- D. Change status from New to Acknowledged.
Answer: A
Explanation:
Explanation
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
NEW QUESTION # 26
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
NEW QUESTION # 27
Which of the following describes a way to delete multiple duplicate entities in ITSI?
- A. All of the above.
- B. Via the entity lister page.
- C. Via a search using the | deleteentity command.
- D. Via c CSV upload.
Answer: A
Explanation:
D is the correct answer because ITSI provides multiple ways to delete multiple duplicate entities. You can use a CSV upload to overwrite existing entities with new or updated information, or delete them by setting the action field to delete. You can also use the entity lister page to select multiple entities and delete them in bulk. Alternatively, you can use a search command called | deleteentity to delete entities that match certain criteria. Reference: Create and update entities using a CSV file in ITSI, Delete entities in bulk in ITSI, Delete entities using the | deleteentity command in ITSI
NEW QUESTION # 28
Besides creating notable events, what are the default alert actions a correlation search can execute? (Choose all that apply.)
- A. Include in RSS feed.
- B. Run a script.
- C. Ping a host.
- D. Send email.
Answer: A,B,D
Explanation:
Explanation
Throttling applies to any correlation search alert type, including notable events and actions (RSS feed, email, run script, and ticketing).
NEW QUESTION # 29
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
- A. Service swapping configuration.
- B. Adding KPI metric lanes to glass tables.
- C. Creating glass tables.
- D. Correlation search creation.
Answer: A,B,C
Explanation:
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
Reference:
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events. Reference: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]
NEW QUESTION # 30
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 may increase the number of required indexers based on the number of KPI searches.
- C. Deployments require a dedicated ITSI search head.
- D. Deployments should use fastest possible disk arrays for indexers.
Answer: A,B,C
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 # 31
Which of the following is a valid type of Multi-KPI Alert?
- A. Status over time.
- B. Rise over run.
- C. Value over time.
- D. Score over composite.
Answer: C
Explanation:
Reference:
B is the correct answer because value over time is a valid type of Multi-KPI Alert in ITSI. A Multi-KPI Alert is a type of alert that triggers when multiple KPIs from one or more services meet certain conditions within a specified time range. Value over time is a condition that compares the current value of a KPI to its previous values over a specified time range. For example, you can create a Multi-KPI Alert that triggers when the CPU usage and memory usage of a service are both higher than their average values in the last 24 hours. Reference: [Create Multi-KPI alerts in ITSI], [Multi-KPI alert conditions in ITSI]
NEW QUESTION # 32
Which of the following is an advantage of using adaptive time thresholds?
- A. Automatically adjust correlation search thresholds to adjust sensitivity over time.
- B. Automatically adjust KPI calculation to manage dynamic event data.
- C. Automatically adjust aggregation policy grouping to manage escalating severity.
- D. Automatically update thresholds daily to manage dynamic changes to KPI values.
Answer: D
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 # 33
Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment?
- A. Analyze the business to determine the most critical services.
- B. Focus on low-level services.
- C. Define a large number of key services early.
- D. Only include KPIs if they will be used in multiple services.
Answer: A
Explanation:
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
NEW QUESTION # 34
Which ITSI functions generate notable events? (Choose all that apply.)
- A. Multi-KPI alert.
- B. KPI anomaly detection.
- C. KPI threshold breaches.
- D. Correlation search.
Answer: B,C,D
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 # 35
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