Splunk IT Service Intelligence Certified Admin Free Sample Questions

20 free sample questions218 in the full practice test

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SPLK-3002 Sample Questions

  1. Question 1

    A financial services firm is implementing ITSI to monitor a high-frequency trading application. The application's performance is measured by a 'Trade Execution Latency' KPI, which has a predictable pattern of high activity during market hours (9:30 AM - 4:00 PM ET) and low activity otherwise. The operations team wants to avoid false positive alerts during off-hours. Which ITSI feature should be configured to apply different threshold levels based on the time of day?

    Answer and explanation

    Correct answer: B

    Time Policies are the correct feature for this scenario. They allow administrators to define different KPI threshold levels for specific time periods, such as business hours versus non-business hours. This directly addresses the need to have stricter thresholds during active trading and looser ones during off-hours to prevent false alarms.

  2. Question 2

    An ITSI administrator has configured a new correlation search to generate a notable event when a service's health score drops below 60. However, after deploying the search, the team observes that multiple, separate notable events are created for the same service within a short time frame, leading to alert fatigue. Which ITSI configuration should be adjusted to group these related alerts into a single, manageable episode?

    Answer and explanation

    Correct answer: C

    A Notable Event Aggregation Policy is designed specifically to solve this problem. It groups notable events into episodes based on defined criteria, such as time, CI/entity, or other fields. By creating a policy that groups events from the same service within a specific time window, the administrator can consolidate the multiple alerts into a single episode, reducing noise and simplifying investigation.

  3. Question 3

    A new ITSI administrator is tasked with creating a backup of the current ITSI configuration, including all services, KPIs, glass tables, and notable event aggregation policies. Which command-line utility is used to perform this operation?

    Answer and explanation

    Correct answer: D

    The correct utility for backing up and restoring ITSI configurations is the backup_itsi.py script. This script is included with the ITSI installation and is specifically designed to export all ITSI-related KV Store collections and configuration files into a backup archive, which can later be used for restoration.

  4. Question 4

    True or False: When a service is put into maintenance mode in ITSI, its health score calculation is paused, but its KPIs continue to generate notable events by default.

    Answer and explanation

    Correct answer: B

    This statement is false. When a service is in maintenance mode, both its health score calculation is paused AND notable event generation for its KPIs is suppressed by default. This prevents false alarms and inaccurate health scores during planned maintenance periods.

  5. Question 5

    Multiple answers

    An ITSI architect is designing a service model for a large e-commerce platform. The platform consists of hundreds of microservices, many of which are identical but serve different geographic regions (e.g., checkout-service-us, checkout-service-eu). To ensure consistency and simplify management, which ITSI features should be used? (Select TWO).

    Answer and explanation

    Correct answers: A, C

    Service Templates are ideal for this scenario. A single template can be created for the 'checkout-service' with all its associated KPIs. This template can then be used to create multiple service instances, ensuring that monitoring is consistent across all regions.

    Entity Filtering is crucial for differentiating between the instances. The service template's KPIs can be configured to filter on an entity alias, such as 'region'. When creating services from the template, the administrator can specify 'us' or 'eu' for the region, automatically scoping the KPIs to the correct set of microservice entities.

  6. Question 6

    A media streaming company is using ITSI to monitor its video delivery service. They have a KPI for 'Video Buffering Rate'. They want to enable anomaly detection for this KPI to proactively identify unusual increases in buffering. The buffering rate has strong daily and weekly seasonal patterns. To ensure the anomaly detection algorithm is effective, what is the minimum recommended amount of historical data required for training?

    Answer and explanation

    Correct answer: D

    For anomaly detection to be effective, especially with strong seasonal patterns, Splunk recommends a minimum of 30 days of historical data for training. This duration allows the machine learning algorithms to learn the daily and weekly patterns, establish a reliable baseline, and more accurately identify true anomalies rather than predictable peaks.

  7. Question 7

    An ITSI admin is creating a custom deep dive to troubleshoot a database performance issue. They want to correlate the 'DB CPU Utilization %' KPI with the number of 'Active DB Connections' and the raw error logs from the database server. Which combination of swim lanes would be most effective for this investigation?

    Answer and explanation

    Correct answer: B

    This is the most effective combination. A KPI lane is best for displaying the historical trend of the 'DB CPU Utilization %' KPI. A Metric lane is appropriate for charting the ad-hoc metric of 'Active DB Connections'. An Event lane is specifically designed to display raw log events, allowing the admin to see the actual error messages from the database server at specific points in time, correlating them with the KPI and metric trends.

  8. Question 8

    A new service named Online_Banking_Portal has been created. The administrator needs to grant a team of Banking_Ops analysts read-only access to this specific service and its KPIs, but prevent them from seeing any other services in ITSI. What is the correct sequence of steps to achieve this?

    Answer and explanation

    Correct answer: B

    This is the correct procedure for service-level access control in ITSI. Teams are the mechanism for assigning permissions to specific services. The correct workflow is: 1) Create a team (e.g., 'Banking Services Team'). 2) Assign the specific service (Online_Banking_Portal) to this team with 'read' permissions. 3) Assign the Splunk role (Banking_Ops) that contains the users to the newly created team. This ensures the users in that role only get the permissions defined for that team on that specific service.

  9. Question 9

    Multiple answers

    When designing a glass table for a Network Operations Center (NOC), the primary goal is to provide an at-a-glance, high-level overview of overall service health. Which two visualization types are most suitable for this purpose? (Select TWO).

    Answer and explanation

    Correct answers: A, C

    The Single Value visualization is excellent for NOC dashboards as it clearly displays the current health score or value of a critical KPI. Its color changes based on severity, providing an immediate visual cue of status (e.g., green, yellow, red).

    The Service Health Score visualization is specifically designed for this purpose. It displays a service's health score as a colored shape (e.g., a hexagon or square), which is a common and effective way to represent overall status in a high-level monitoring view.

  10. Question 10

    An administrator is importing entities from a CSV file. The file contains columns for hostname, ip_address, and role. The administrator wants to use hostname as the primary identifier for the entity but also wants to be able to filter by role. How should the role column be configured during the import process?

    Answer and explanation

    Correct answer: B

    Configuring the role column as an entity alias is the correct approach. The entity title (hostname) is the primary identifier. An alias provides an additional, searchable key-value pair associated with the entity. This allows KPI searches to be filtered or split by the alias role (e.g., role=webserver).

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