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| Section | Weight | Objectives |
|---|---|---|
| Deep Dives | 10% | - Use default deep dives - Describe deep dive concepts - Create and customize deep dives |
| Anomaly Detection | 5% | - Enable anomaly detection - Work with anomaly events |
| Glass Tables | 5% | - Design glass tables - Configure glass tables - Use glass tables - Describe glass tables |
| Managing Notable Events | 10% | - Customize notable event views - Define key notable events terms and relationships - Work with notable events - Describe multi-KPI alerts - Describe notable events workflow |
| Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Event Analytics | 5% | - Describe Event Analytics features - Configure and use Event Analytics |
| Correlation and Multi-KPI Searches | 5% | - Create multi-KPI alerts - Define correlation searches - Manage notable event storage |
| Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| ITSI Architecture and Deployment | 10% | - Plan and design deployment - Manage ITSI modules - Describe ITSI architecture |
| Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Introducing ITSI | 5% | - Identify what ITSI does - Examine the ITSI user interface - Describe reasons for using ITSI |
| Services and KPIs | 15% | - Use entities in KPI searches - Define services and KPIs - Configure KPI thresholds and alerts - Manage service dependencies |
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NEW QUESTION # 56
When in maintenance mode, which of the following is accurate?
Answer: B
Explanation:
Reference:
A is the correct answer because when in maintenance mode, KPIs and notable events will begin to be generated again once the window is over. Maintenance mode is a feature of ITSI that allows you to temporarily suspend alerts and health score calculations for a service or an entity during planned maintenance or downtime. During maintenance mode, KPI searches still run, but the results are buffered until the window is over. Once the window is over, the buffered results are processed and alerts and health scores are generated if necessary. Reference: [Overview of maintenance windows in ITSI]
NEW QUESTION # 57
Which of the following items apply to anomaly detection? (Choose all that apply.)
Answer: B,C
NEW QUESTION # 58
Which of the following describes default deep dives?
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), default deep dives are auto-generated and can be accessed via the Service Analyzer. Deep dives are an essential feature of ITSI that provide an in-depth, granular view into the health and performance of services and their associated KPIs. These default deep dives are automatically created for each service, allowing users to quickly drill down into the detailed operational metrics and performance data of their services. By accessing these deep dives through the Service Analyzer, ITSI users can efficiently investigate issues, understand service dependencies, and make informed decisions to maintain optimal service health. The auto-generated nature of these default deep dives simplifies the monitoring and analysis process, providing immediate insights into service performance without the need for manual setup or configuration.
NEW QUESTION # 59
Besides creating notable events, what are the default alert actions a correlation search can execute? (Choose all that apply.)
Answer: A,B,D
Explanation:
Throttling applies to any correlation search alert type, including notable events and actions (RSS feed, email, run script, and ticketing).
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/ConfigCS B, C, and D are correct answers because they are the default alert actions that a correlation search can execute besides creating notable events. You can configure a correlation search to send an email, include the results in an RSS feed, or run a custom script when the search matches a defined pattern. Ping a host is not a default alert action for correlation searches. References: Configure correlation search settings in ITSI
NEW QUESTION # 60
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
Answer: A,C
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. References: [Overview of backing up and restoring ITSI KV store data], [Create a full backup of ITSI], [Create a partial backup of ITSI]
NEW QUESTION # 61
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