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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introducing ITSI | 5% | - Identify what ITSI does - Describe reasons for using ITSI - Examine the ITSI user interface |
| Topic 2: Deep Dives | 10% | - Describe deep dive concepts - Create and customize deep dives - Use default deep dives |
| Topic 3: Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
| Topic 4: Aggregation Policies | 5% | - Use smart mode aggregation - Create aggregation policies |
| Topic 5: Managing Notable Events | 10% | - Work with notable events - Describe notable events workflow - Define key notable events terms and relationships - Describe multi-KPI alerts - Customize notable event views |
| Topic 6: Correlation and Multi-KPI Searches | 5% | - Define correlation searches - Manage notable event storage - Create multi-KPI alerts |
| Topic 7: Services and KPIs | 15% | - Manage service dependencies - Use entities in KPI searches - Configure KPI thresholds and alerts - Define services and KPIs |
| Topic 8: Event Analytics | 5% | - Configure and use Event Analytics - Describe Event Analytics features |
| Topic 9: ITSI Architecture and Deployment | 10% | - Describe ITSI architecture - Manage ITSI modules - Plan and design deployment |
| Topic 10: Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Topic 11: Access Control and Security | 5% | - Create service-level teams - Configure user roles and permissions |
| Topic 12: Glass Tables | 5% | - Use glass tables - Describe glass tables - Configure glass tables - Design glass tables |
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NEW QUESTION # 95
Which step is required to install ITSI on a single Search Head?
Answer: B
Explanation:
To install Splunk IT Service Intelligence (ITSI) on a single Search Head, one of the straightforward methods is to use the Splunk Web interface, specifically the "Manage Apps" dashboard, to download and install ITSI.
This method is user-friendly and does not require manual file handling or command-line operations. By navigating to "Manage Apps" in the Splunk Web interface, users can find ITSI in the app repository or upload the ITSI installation package if it has been downloaded previously. From there, the installation process is initiated through the Splunk Web interface, simplifying the setup process. This approach ensures that the installation follows Splunk's standard app installation procedures, helping to avoid common installation errors and ensuring that ITSI is correctly integrated into the Splunk environment.
NEW QUESTION # 96
Which of the following is an advantage of using adaptive time thresholds?
Answer: A
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 # 97
In distributed search, which components need to be installed on instances other than the search head?
Answer: C
Explanation:
SA-IndexCreation is required on all indexers. For non-clustered, distributed environments, copy SA- IndexCreation to $SPLUNK_HOME/etc/apps/ on individual indexers.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Install/InstallDD In distributed search, the components that need to be installed on instances other than the search head are SA- IndexCreation and SA-ITSI-Licensechecker on indexers. SA-IndexCreation is an add-on that creates the indexes required by ITSI, such as itsi_summary and itsi_tracked_alerts. SA-ITSI-Licensechecker is an add-on that monitors the license usage of ITSI and generates alerts when the license limit is exceeded or about to expire. These components need to be installed on indexers because they handle the data ingestion and storage functions for ITSI. The other components, such as ITSI app and SA-ITOA, need to be installed on the search head(s) because they handle the search management and presentation functions for ITSI. References: Install IT Service Intelligence in a distributed environment
NEW QUESTION # 98
When in maintenance mode, which of the following is accurate?
Answer: B
NEW QUESTION # 99
Which scenario would benefit most by implementing ITSI?
Answer: D
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AboutSI Splunk IT Service Intelligence (ITSI) is a monitoring and analytics solution that uses artificial intelligence and machine learning to provide insights into the health and performance of IT services. ITSI lets you create services that represent the critical components of your IT infrastructure, such as applications, databases, servers, networks, and so on. You can then monitor the status and performance of these services using key performance indicators (KPIs), which are metrics that measure aspects of service health, such as availability, latency, error rate, and so on. ITSI also provides tools for visualizing, investigating, and alerting on service issues, such as service analyzers, glass tables, deep dives, episode review, and so on. The scenario that would benefit most by implementing ITSI is monitoring of business service functionality, because ITSI enables you to measure and improve the quality and reliability of your IT services and align them with your business objectives. References: What is Splunk IT Service Intelligence?
NEW QUESTION # 100
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