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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Notable Events | 10% | - Define key notable events terms and relationships - Describe notable events workflow - Work with notable events - Describe multi-KPI alerts - Customize notable event views |
| Topic 2: Services and KPIs | 15% | - Define services and KPIs - Manage service dependencies - Configure KPI thresholds and alerts - Use entities in KPI searches |
| Topic 3: Access Control and Security | 5% | - Create service-level teams - Configure user roles and permissions |
| Topic 4: Correlation and Multi-KPI Searches | 5% | - Create multi-KPI alerts - Define correlation searches - Manage notable event storage |
| Topic 5: Deep Dives | 10% | - Describe deep dive concepts - Create and customize deep dives - Use default deep dives |
| Topic 6: ITSI Architecture and Deployment | 10% | - Plan and design deployment - Describe ITSI architecture - Manage ITSI modules |
| Topic 7: Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Topic 8: Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Topic 9: Glass Tables | 5% | - Use glass tables - Describe glass tables - Configure glass tables - Design glass tables |
| Topic 10: Event Analytics | 5% | - Describe Event Analytics features - Configure and use Event Analytics |
| Topic 11: Introducing ITSI | 5% | - Describe reasons for using ITSI - Examine the ITSI user interface - Identify what ITSI does |
| Topic 12: Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
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NEW QUESTION # 46
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
Answer: A,D
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.
Reference:
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/kvstorejson
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/BackupandRestoreITSIconfig C and D are correct answers because ITSI backup and restore functionality uses kvstore_to_json.py as a command line script or as part of custom scripts to backup ITSI data for full or partial backups. ITSI backups are also stored as a collection of JSON formatted files that contain KV store objects such as services, KPIs, glass tables, etc. A is not a correct answer because there is no pre-configured default ITSI backup job provided. You can create your own backup jobs or use the command line script or custom scripts to backup ITSI data. B is not a correct answer because ITSI backup is not inclusive of index dependencies. ITSI backup only includes KV store objects and optionally some .conf files. You need to use other methods to backup index data. Reference: [Overview of backing up and restoring ITSI KV store data], [Create a full backup of ITSI], [Create a partial backup of ITSI]
NEW QUESTION # 47
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?
Answer: B
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.
References: Create teams in ITSI, Assign teams to services in ITSI
NEW QUESTION # 48
Which of the following is a good use case regarding defining entities for a service?
Answer: B
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.
Reference:
A is the correct answer because defining entities for a service allows you to automatically associate entities to services using multiple entity aliases. Entity aliases are alternative names or identifiers for an entity, such as host name, IP address, MAC address, or DNS name. ITSI matches entity aliases to fields in your data sources and assigns entities to services accordingly. This way, you can avoid manually adding entities to each service and ensure that your services reflect the latest changes in your environment. Reference: Define entities for a service in ITSI
NEW QUESTION # 49
Which of the following is a characteristic of notable event groups?
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), notable event groups are used to logically group related notable events, which enhances the manageability and analysis of events:
A).Notable event groups combine independent notable events:This characteristic allows for the aggregation of related events into a single group, making it easier for users to manage and investigate related issues. By grouping events, users can focus on the broader context of an issue rather than getting lost in the details of individual events.
While notable event groups play a critical role in organizing and managing events in ITSI, they do not inherently allow users to adjust threshold settings, which is typically handled at the KPI or service level.
Additionally, while notable event groups are utilized within the ITSI framework, the statement that they are created in the 'itsi_tracked_alerts' index might not fully capture the complexity of how event groups are managed and stored within the ITSI architecture.
NEW QUESTION # 50
There are two Smart Mode configuration settings that control how fields affect grouping. Which of these is correct?
Answer: A
Explanation:
In the context of Smart Mode configuration within Splunk IT Service Intelligence (ITSI), the two settings that control how fields affect grouping are "Text similarity" and "Category similarity." Smart Mode is a feature used in event grouping that leverages machine learning to automatically group related events. "Text similarity" refers to how closely the textual content of event fields must match for those events to be grouped together, taking into account commonalities in strings or narratives within the event data. "Category similarity," on the other hand, relates to the similarity in the categorical attributes of events, such as event types or source types, which helps in clustering events that are similar in nature or origin. Both of these settings are crucial in determining how events are grouped in ITSI, influencing the granularity and relevance of the event groupings based on textual and categorical similarities.
NEW QUESTION # 51
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