Splunk SPLK-3002 Exam Dumps [2024] Practice Valid Exam Dumps Question [Q46-Q68]

Splunk SPLK-3002 Exam Dumps [2024] Practice Valid Exam Dumps Question

SPLK-3002 Dumps - Grab Out For [NEW-2024] Splunk Exam

Earning the SPLK-3002 certification can benefit IT professionals in a variety of ways. For one, it can help them stand out in a crowded job market and demonstrate their expertise to potential employers. It can also lead to increased job opportunities and higher salaries. Additionally, the skills and knowledge gained through preparing for and passing the exam can directly benefit an organization by improving IT service delivery and reducing downtime.

 

NEW QUESTION # 46
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. It is possible for multiple time policies to overlap.
• C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it.
• D. A person can only configure 24 policies, one for each hour of the day.

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 # 47
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 # 48
Which scenario would benefit most by implementing ITSI?

• A. Monitoring of system process statuses
• B. Monitoring of business services functionality.
• C. Monitoring of system hardware.
• D. Monitoring of retail sales metrics.

Answer: B

NEW QUESTION # 49
Which of the following are the default ports that must be configured on Splunk to use ITSI?

• A. SplunkWeb (8088), SplunkD (8089), and HTTP Collector (8000)
• B. SplunkWeb (8405), SplunkD (8519), and HTTP Collector (8628)
• C. SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088)
• D. SplunkWeb (8089), SplunkD (8088), and HTTP Collector (8000)

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 # 50
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 In Progress and assign the current user as owner.
• C. Assign the current user as owner.
• D. Change status from New to Acknowledged and assign the current user as owner.

Answer: D

Explanation:
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
Reference:
An episode represents a disruption of service operation causing impact to business operations. It is a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation. In Episode Review, you can manage the episodes and their statuses using various actions. One of the actions is Acknowledge, which changes the status of an episode from New to Acknowledged and assigns the current user as the owner. This action indicates that someone is working on resolving the episode and prevents duplicate efforts from other users. Reference: Overview of Episode Review in ITSI, [Episode actions in Episode Review]

NEW QUESTION # 51
Which index will contain useful error messages when troubleshooting ITSI issues?

• A. itsi_notable_audit
• B. _internal
• C. _introspection
• D. itsi_summary

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 # 52
Which capabilities are enabled through "teams"?

• A. Teams allow searches against the itsi_summary index.
• B. Teams allow restrictions to service content in UI views.
• C. Teams restrict notable event alert actions.
• D. Teams restrict searches against the itsi_notable_audit index.

Answer: A

Explanation:
Explanation
Teams provide presentation-layer security only and not data-level security. It's still possible for a user with access to the Splunk search bar to look up ITSI summary index data.

NEW QUESTION # 53
What happens when an anomaly is detected?

• A. A SNMP trap will be sent.
• B. A separate correlation search needs to be created in order to see it.
• C. An anomaly alert will appear as a notable event in Episode Review.
• D. An anomaly alert will appear in core splunk, in index=main.

Answer: C

Explanation:
When an anomaly is detected in Splunk IT Service Intelligence (ITSI), it typically generates a notable event that can be reviewed and managed in the Episode Review dashboard. The Episode Review is part of ITSI's Event Analytics framework and serves as a centralized location for reviewing, annotating, and managing notable events, including those generated by anomaly detection. This process enables IT operators and analysts to efficiently identify, prioritize, and respond to potential issues highlighted by the anomaly alerts. The integration of anomaly alerts into the Episode Review dashboard streamlines the workflow for managing and investigating these alerts within the broader context of IT service management and operational intelligence.

NEW QUESTION # 54
Which of the following is a recommended best practice for ITSI installation?

• A. ITSI should not be installed on search heads that have Enterprise Security installed.
• B. Install ITSI on one search head in a search head cluster and migrate the configuration bundle to other search heads.
• C. Install the Machine Learning Toolkit app if anomaly detection must be configured.
• D. Before installing ITSI, make sure the Common Information Model (CIM) is installed.

Answer: A

Explanation:
One of the recommended best practices for Splunk IT Service Intelligence (ITSI) installation is to avoid installing ITSI on search heads that already have Splunk Enterprise Security (ES) installed. This recommendation stems from potential resource conflicts and performance issues that can arise when both resource-intensive applications are deployed on the same instance. Both ITSI and ES are complex applications that require significant system resources to function effectively, and running them concurrently on the same search head can lead to degraded performance, conflicts in resource allocation, and potential stability issues. It's generally advised to segregate these applications onto separate Splunk instances to ensure optimal performance and stability for both platforms.

NEW QUESTION # 55
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 "Yes" for both "Split by Entity" and "Filter to Entities in Service".
• C. Select "Yes" for "Split by Entity" and "No" for "Filter to Entities in Service".
• D. Select "No" for both "Split by Entity" and "Filter to Entities in Service".

Answer: B

Explanation:
Reference:
A is the correct answer because selecting "Yes" for both "Split by Entity" and "Filter to Entities in Service" allows you to automatically restrict a KPI to only the entities in its service and generate KPI values for each entity. Split by Entity splits the KPI search results by entity alias fields and calculates a separate KPI value for each entity. Filter to Entities in Service filters out any entities that are not part of the service from the KPI search results. This way, you can ensure that your KPI reflects only the relevant entities for your service and provides granular information for each entity. Reference: [Configure KPI settings in ITSI]

NEW QUESTION # 56
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 aggregation policy grouping to manage escalating severity.
• C. Automatically update thresholds daily to manage dynamic changes to KPI values.
• D. Automatically adjust KPI calculation to manage dynamic event data.

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 # 57
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:
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 # 58
Which of the following describes enabling smart mode for an aggregation policy?

• A. Configure -> Policies -> Smart Mode -> Enable, select "fields", click "Save"
• B. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
• C. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
• D. Edit the notable event view, enable smart mode, select "fields", and click "Save"

Answer: C

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 # 59
Which views would help an analyst identify that a memory usage KPI is going critical? (select all that apply)

• A. Memory swim lane in a Deep Dive.
• B. Memory panel of the OS Host Details view in the Operating System module.
• C. Memory KPI in a glass table.
• D. Service & KPI tiles in the Service Analyzer.

Answer: A,B,C,D

Explanation:
To identify that a memory usage KPI is going critical, an analyst can leverage multiple views within Splunk IT Service Intelligence (ITSI), each offering a different perspective or level of detail:
A) Memory KPI in a glass table: A glass table can display the current status of the memory usage KPI, along with other related KPIs and services, providing a high-level overview of system health.
B) Memory panel of the OS Host Details view in the Operating System module: This specific panel within the OS Host Details view offers detailed metrics and trends related to memory usage, allowing for in-depth analysis.
C) Memory swim lane in a Deep Dive: Deep Dives allow analysts to visually track the performance and status of KPIs over time. A swim lane dedicated to memory usage can highlight periods where the KPI goes critical, along with the context of other related KPIs.
D) Service & KPI tiles in the Service Analyzer: The Service Analyzer provides a comprehensive overview of all services and their KPIs. The tiles related to memory usage can quickly alert analysts to critical conditions through color-coded indicators.
Each of these views contributes to a comprehensive monitoring strategy, enabling analysts to detect and respond to critical memory usage conditions from various analytical perspectives.

NEW QUESTION # 60
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. All of the entities have the same identifying field name.
• C. Being able to split a CPU usage KPI by host name.
• D. Automatically associate entities to services using multiple entity aliases.

Answer: D

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 # 61
Which of the following statements is accurate when using multiple policies?

• A. Policy processing is applied in a defined order.
• B. New policies are applied after the default policy.
• C. New policies are applied before the default policy.
• D. An event can be processed by only a single policy.

Answer: A

Explanation:
In Splunk IT Service Intelligence (ITSI), when using multiple event management policies, it is important to understand that policy processing is applied in a defined order. This order is crucial because it determines how events are processed and aggregated, and which rules are applied to events first. The order of policies can be customized, allowing administrators to prioritize certain policies over others based on the specific needs and operational logic of their IT environment. This feature provides flexibility in event management, enabling more precise control over event processing and ensuring that the most critical events are handled according to the desired precedence. This structured approach to policy processing helps in maintaining the efficiency and effectiveness of event management within ITSI.

NEW QUESTION # 62
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 require a dedicated ITSI search head.
• C. Deployments may increase the number of required indexers based on the number of KPI searches.
• D. Deployments should use fastest possible disk arrays for indexers.

Answer: A,B,C

Explanation:
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.

NEW QUESTION # 63
Which of the following services often has KPIs but no entities?

• A. Business Service.
• B. Network Service.
• C. Technical Service.
• D. Security Service.

Answer: A

Explanation:
In the context of Splunk IT Service Intelligence (ITSI), a Business Service often has Key Performance Indicators (KPIs) but might not have directly associated entities. Business Services represent high-level aggregations of organizational functions or processes and are typically measured by KPIs that reflect the performance of underlying technical services or components rather than direct infrastructure entities. For example, a Business Service might monitor overall transaction completion times or customer satisfaction scores, which are abstracted from the specific technical entities that underlie these metrics. This abstraction allows Business Services to provide a business-centric view of IT health and performance, focusing on outcomes rather than specific technical components.

NEW QUESTION # 64
There are two departments using ITSI. Finance and Sales. Analysts in each department should not be allowed to see each other's services. What are the role configuration steps required to accomplish this?

• A. itoa_finance_admin, inherited from itoa_team_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_analyst.
• B. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_analyst.
• C. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_team_analyst.
• D. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_team_analyst; itoa_sales_analyst, inherited from itoa_team_analyst.

Answer: C

Explanation:
C is the correct answer because teams are a feature of ITSI that allow you to restrict access to service content in UI views based on user roles. To create separate teams for finance and sales analysts, you need to create custom roles that inherit from the itoa_analyst role, which has read-only access to ITSI content. For example, you can create itoa_finance_analyst and itoa_sales_analyst roles that inherit from itoa_analyst. Then, you need to create custom teams that include these roles and assign them to the relevant services. For example, you can create a finance team that includes the itoa_finance_analyst role and assign it to the finance services. Similarly, you can create a sales team that includes the itoa_sales_analyst role and assign it to the sales services. This way, analysts in each department can only see their own services and not each other's. Reference: Create teams in ITSI, Assign teams to services in ITSI

NEW QUESTION # 65
Which of the following is a characteristic of base searches?

• A. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
• B. Search expression, entity splitting rules, and thresholds are configured at the base search level.
• C. The base search will execute whether or not a KPI needs it.
• D. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.

Answer: A

Explanation:
Reference:
A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. One of the characteristics of base searches is that it is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs. This means that you can use entity filtering rules to specify which entities are relevant for each KPI based on the base search results. Reference: Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]

NEW QUESTION # 66
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?

• A. Purple
• B. Gray
• C. Gear Icon
• D. Blue

Answer: B

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 # 67
Which of the following is a good use case for creating a custom module?

• A. Making it easy to migrate KPI base searches and related visualizations to other ITSI installations.
• B. Creating a service template to make it easy to automatically create new services during service and entity import.
• C. Modules are required to be able to create custom visualizations for deep dives.
• D. Modules are required to create entity and service import searches.

Answer: A

Explanation:
Creating a custom module in Splunk IT Service Intelligence (ITSI) is particularly beneficial for the purpose of migrating KPI base searches and related visualizations to other ITSI installations. Custom modules can encapsulate a set of configurations, searches, and visualizations that are tailored to specific monitoring needs or environments. By packaging these elements into a module, it becomes easier to transfer, deploy, and maintain consistency across different ITSI instances. This modularity supports the reuse of developed components, simplifying the process of scaling and replicating monitoring setups in diverse operational contexts. The ability to migrate these components seamlessly enhances operational efficiency and ensures that best practices and custom configurations can be shared across an organization's ITSI deployments.

NEW QUESTION # 68
......

The SPLK-3002 exam is a performance-based exam that evaluates the candidate’s ability to solve real-world problems using Splunk ITSI. SPLK-3002 exam consists of 60 multiple-choice questions and the candidate needs to score at least 70% to pass the exam. SPLK-3002 exam duration is 90 minutes, and candidates are required to complete the exam within the given time frame. SPLK-3002 exam is available in English and Japanese languages.

Splunk SPLK-3002 exam is intended for IT professionals who have experience working with ITSI and want to showcase their expertise in this area. SPLK-3002 exam covers a wide range of topics, including ITSI architecture, configuration, and administration, service intelligence, KPIs, and advanced analytics. Candidates should have a good understanding of IT service management (ITSM) concepts and practices, as well as experience with data analytics tools and techniques.

 

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