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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Event Analytics | 5% | - Describe Event Analytics features - Configure and use Event Analytics |
| Topic 2: Deep Dives | 10% | - Create and customize deep dives - Describe deep dive concepts - Use default deep dives |
| Topic 3: Introducing ITSI | 5% | - Describe reasons for using ITSI - Examine the ITSI user interface - Identify what ITSI does |
| Topic 4: Services and KPIs | 15% | - Manage service dependencies - Use entities in KPI searches - Configure KPI thresholds and alerts - Define services and KPIs |
| Topic 5: Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Topic 6: Managing Notable Events | 10% | - Describe multi-KPI alerts - Work with notable events - Describe notable events workflow - Define key notable events terms and relationships - Customize notable event views |
| Topic 7: Correlation and Multi-KPI Searches | 5% | - Manage notable event storage - Create multi-KPI alerts - Define correlation searches |
| Topic 8: Glass Tables | 5% | - Design glass tables - Describe glass tables - Configure glass tables - Use glass tables |
| 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 - Diagnose common issues - Monitor ITSI performance |
| Topic 11: Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| Topic 12: Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
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NEW QUESTION # 47
Which of the following is a valid type of Multi-KPI Alert?
Answer: B
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/MKA
B is the correct answer because value over time is a valid type of Multi-KPI Alert in ITSI. A Multi-KPI Alert is a type of alert that triggers when multiple KPIs from one or more services meet certain conditions within a specified time range. Value over time is a condition that compares the current value of a KPI to its previous values over a specified time range. For example, you can create a Multi-KPI Alert that triggers when the CPU usage and memory usage of a service are both higher than their average values in the last 24 hours.
References: [Create Multi-KPI alerts in ITSI], [Multi-KPI alert conditions in ITSI]
NEW QUESTION # 48
There are two Smart Mode configuration settings that control how fields affect grouping. Which of these is correct?
Answer: B
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 # 49
Which of the following are characteristics of service templates? (select all that apply)
Answer: B,C
Explanation:
Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:
B) Service templates contain KPIs and KPI thresholds: This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.
C) Service templates can contain specific or generic entity rules: These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.
While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.
NEW QUESTION # 50
Which of the following describes a way to delete multiple duplicate entities in ITSI?
Answer: B
Explanation:
D is the correct answer because ITSI provides multiple ways to delete multiple duplicate entities. You can use a CSV upload to overwrite existing entities with new or updated information, or delete them by setting the action field to delete. You can also use the entity lister page to select multiple entities and delete them in bulk. Alternatively, you can use a search command called | deleteentity to delete entities that match certain criteria. Reference: Create and update entities using a CSV file in ITSI, Delete entities in bulk in ITSI, Delete entities using the | deleteentity command in ITSI
NEW QUESTION # 51
Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment?
Answer: B
Explanation:
Reference:
A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference: Service Analyzer
NEW QUESTION # 52
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