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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ITOA Administration | 10% | - Configuring ITOA - ITOA dashboard overview |
| Topic 2: Advanced Topics | 16% | - ITSI and Splunk Enterprise Security integration - Custom KPIs and calculations - ITSI content management - Service-level availability reporting |
| Topic 3: Glass Tables | 14% | - Entity Drilldown - Configuring Glass Table elements - Creating Glass Tables |
| Topic 4: ITSI Administration | 14% | - Managing services using deep dives - Backup and restore ITSI configuration - KPI base searches and aggregation - ITSI searches and scheduled searches |
| Topic 5: ITSI Overview and Concepts | 8% | - Entities and services - ITSI key concepts and terminology - ITSI product overview |
| Topic 6: ITSI Analytics | 12% | - Glass Table thresholds - Notable Events and aggregation policies - Configuring aggregation policies |
| Topic 7: ITSI Service Design | 18% | - Service Health Score calculation - Service dependencies and dependencies view - Creating and configuring services - Entity templates and filters |
| Topic 8: Service Discovery and Installation | 8% | - Service Discovery installation - Service Discovery overview - Creating adaptive threshold templates |
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NEW QUESTION # 24
What is the default importance value for dependent services' health scores?
Answer: A
Explanation:
Explanation
By default, impacting service health scores have an importance value of 11.
NEW QUESTION # 25
Which of the following is an advantage of using adaptive time thresholds?
Answer: C
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/TimePolicies 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.
References: Create adaptive KPI thresholds in ITSI
NEW QUESTION # 26
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?
Answer: D
Explanation:
By default, notable event metadata is archived after six months to keep the KV store from growing too large.
NEW QUESTION # 27
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: A
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 # 28
What can a KPI widget on a glass table drill down into?
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), a KPI widget on a glass table can be configured to drill down into a variety of destinations based on the needs of the user and the design of the glass table. This flexibility allows users to dive deeper into the data or analysis represented by the KPI widget, providing context and additional insights. The destinations for drill-downs from a KPI widget can include:
A) Another glass table, offering a different perspective or more detailed view related to the KPI. B. A Splunk dashboard that provides broader analysis or incorporates data from multiple sources. C. A custom deep dive for in-depth, time-series analysis of the KPI and related metrics.
This versatility makes KPI widgets powerful tools for navigating through the wealth of operational data and insights available in ITSI, facilitating effective monitoring and decision-making.
NEW QUESTION # 29
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