May-2022 Realistic SPLK-3002 Exam Dumps with Accurate & Updated Questions [Q11-Q32]

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May-2022 Realistic SPLK-3002 Exam Dumps with Accurate & Updated Questions

SPLK-3002 Exam Dumps – PDF Questions and Testing Engine

Splunk SPLK-3002 Exam Syllabus Topics:

Topic	Details
Topic 1	Create KPIs with Static and Adaptive Thresholds Use Time Policies to Define Flexible Thresholds Entities and Modules, Importing Entities
Topic 2	Create and Customize New Custom Deep Dives Add and Configure Swim Lanes Describe Effective Workflows for Troubleshooting
Topic 3	Glass Tables, Describe Glass Tables Use Glass Tables Design Glass Tables Configure Glass Tables
Topic 4	Describe Deep Dive Concepts and Their Relationships Describe Deep Dive Concepts and Their Relationships Use Default Deep Dives
Topic 5	Configure User Access Control Create Service Level Teams Troubleshooting ITSI Backup and Restore Maintenance Mode, Creating Modules, Troubleshooting
Topic 6	Define Multi KPI Alerts Manage Notable Event Storage Aggregation Policies Create New Aggregation Policies
Topic 7	Given Customer Requirements, Plan an ITSI Implementation Identify Site Entities Data Audit and Base Searches
Topic 8	Installing and Configuring ITSI List ITSI Hardware Recommendations Describe ITSI Deployment Options Identify ITSI Components
Topic 9	Anomaly Detection Enable Anomaly Detection Work with Generated Anomaly Events Correlation and Multi KPI Searches Define New Correlation Searches

NEW QUESTION 11
Which of the following best describes a default deep dive?

It initially shows all the entity swim lanes.

It initially shows the health scores for all services.

It initially shows all of the KPIs for a selected service.

It initially shows the highest importance KPIs.

NEW QUESTION 12
Which of the following is a characteristic of base searches?

Search expression, entity splitting rules, and thresholds are configured at the base search level.

It is possible to filter to entities assigned to the service for calculating the metrics for the service’s KPIs.

The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.

The base search will execute whether or not a KPI needs it.

NEW QUESTION 13
For which ITSI function is it a best practice to use a 15-30 minute time buffer?

Correlation searches.

Adaptive thresholding.

Maintenance windows

Anomaly detection.

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 14
What is the default importance value for dependent services’ health scores?

Unassigned

Explanation
By default, impacting service health scores have an importance value of 11.

NEW QUESTION 15
Which of the following describes a way to delete multiple duplicate entities in ITSI?

Via c CSV upload.

Via the entity lister page.

Via a search using the | deleteentity command.

All of the above.

Explanation
Import entities from CSV files that contain one or more entity definitions. Importing entities from CSV files is an efficient way to define multiple entities.

NEW QUESTION 16
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?

Use | stats functions in custom fields to prepare the data for KPI calculations.

Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.

Make sure that all fields conform to CIM, then use the corresponding module to import related services.

Plan to build as many data models as possible for ITSI to leverage

NEW QUESTION 17
Which of the following items apply to anomaly detection? (Choose all that apply.)

Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it’s magic.

A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.

Anomaly detection automatically generates notable events when KPI data diverges from the pattern.

There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.

NEW QUESTION 18
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?

6 months.

9 months.

1 year.

3 months.

Explanation
By default, notable event metadata is archived after six months to keep the KV store from growing too large.

NEW QUESTION 19
Anomaly detection can be enabled on which one of the following?

KPI

Multi-KPI alert

Entity

Service

Explanation
Enable anomaly detection to identify trends and outliers in KPI search results that might indicate an issue with your system.

NEW QUESTION 20
How do you automatically restrict a KPI to only the entities in its service, and generate KPI values for each entity?

Select “Yes” for both “Split by Entity” and “Filter to Entities in Service”.

Select “No” for “Split by Entity” and “Yes” for “Filter to Entities in Service”.

Select “Yes” for “Split by Entity” and “No” for “Filter to Entities in Service”.

Select “No” for both “Split by Entity” and “Filter to Entities in Service”.

NEW QUESTION 21
When changing a service template, which of the following will be added to linked services by default?

Thresholds.

Entity Rules.

New KPIs.

Health score.

Explanation
Link multiple services to a service template to manage them collectively in IT Service Intelligence (ITSI). A service can only be linked to one service template at a time. When you link a service to a service template, any existing KPIs in the service are preserved and KPIs in the template are added to the service. You can choose to append, replace, or keep entity rules.

NEW QUESTION 22
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)

A pre-configured default ITSI backup job is provided that can be modified, but not deleted.

ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.

kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.

ITSI backups are stored as a collection of JSON formatted files.

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 23
When deploying ITSI on a distributed Splunk installation, which component must be installed on the search head(s)?

SA-ITOA

ITSI app

All ITSI components

SA-ITSI-Licensechecker

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 24
Which of the following applies when configuring time policies for KPI thresholds?

A person can only configure 24 policies, one for each hour of the day.

They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00

If a person expects a KPI to change significantly through a cycle on a daily basis, don’t use it.

It is possible for multiple time policies to overlap.

Explanation
If you’re creating multiple time policies that require the same threshold values, you can save time by copying the threshold levels and their corresponding values from one policy to another.

NEW QUESTION 25
Which of the following accurately describes base searches used for KPIs in a service?

Base searches can be used for multiple services.

A base search can only be used by its service and all dependent services.

All the metrics in a base search are used by one service.

All the KPIs in a service use the same base search.

Explanation
KPI base searches let you share a search definition across multiple KPIs in IT Service Intelligence (ITSI).
Create base searches to consolidate multiple similar KPIs, reduce search load, and improve search performance.

NEW QUESTION 26
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?

Gray

Purple

Gear Icon

Blue

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 27
Which of the following describes entities? (Choose all that apply.)

Entities must be IT devices, such as routers and switches, and must be identified by either IP value, host name, or mac address.

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.

Multiple entities can share the same alias value, but must have different role values.

To automatically restrict the KPI to only the entities in a particular service, select “Filter to Entities in Service”.

NEW QUESTION 28
Which of the following are the default ports that must be configured on Splunk to use ITSI?

SplunkWeb (8405), SplunkD (8519), and HTTP Collector (8628)

SplunkWeb (8089), SplunkD (8088), and HTTP Collector (8000)

SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088)

SplunkWeb (8088), SplunkD (8089), and HTTP Collector (8000)

NEW QUESTION 29
What effects does the KPI importance weight of 11 have on the overall health score of a service?

At least 10% of the KPIs will go critical.

Importance weight is unused for health scoring.

The service will go critical.

It is a minimum health indicator KPI.

NEW QUESTION 30
Which scenario would benefit most by implementing ITSI?

Monitoring of business services functionality.

Monitoring of system hardware.

Monitoring of system process statuses

Monitoring of retail sales metrics.

NEW QUESTION 31
Which of the following describes enabling smart mode for an aggregation policy?

Configure -> Policies -> Smart Mode -> Enable, select “fields”, click “Save”

Enable grouping in Notable Event Review, select “Smart Mode”, select “fields”, and click “Save”

Edit the aggregation policy, enable smart mode, select fields to analyze, click “Save”

Edit the notable event view, enable smart mode, select “fields”, and click “Save”

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.

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May-2022 Realistic SPLK-3002 Exam Dumps with Accurate & Updated Questions [Q11-Q32]