SPLK-3002 Valid Test Testking & Pass Leader SPLK-3002 Dumps

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Splunk SPLK-3002 Exam is an excellent certification for IT professionals who want to demonstrate their skills and expertise in using Splunk IT Service Intelligence to manage IT services. SPLK-3002 exam covers essential topics in ITSI, and passing it validates an individual's ability to configure and manage ITSI in a Splunk environment. With the right preparation, candidates can pass the exam and enhance their career prospects in the IT service management field.

Candidates who successfully pass the exam are awarded the Splunk ITSI Certified Admin certification, which demonstrates their expertise in using ITSI to monitor and analyze IT operations. Splunk IT Service Intelligence Certified Admin certification is recognized globally and is highly valued by employers. It is an excellent way for IT professionals to validate their skills and knowledge in using Splunk ITSI and enhance their career prospects. Splunk IT Service Intelligence Certified Admin certification is valid for two years, after which candidates can renew their certification by passing a recertification exam or earning continuing education credits.

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Splunk certification is one of the best golden-content certifications in IT expert field all over the world, and it is also the necessary condition of choosing talents standard in large enterprises. SPLK-3002 exam questions answers is useful for candidates who are eager to go through the examination. There are thousands of companies recognized and valued the certification in the world. SPLK-3002 Exam Questions Answers will make you pass exam easily.

Splunk IT Service Intelligence Certified Admin Sample Questions (Q72-Q77):

NEW QUESTION # 72
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?

Answer: A

Explanation:
Explanation
By default, notable event metadata is archived after six months to keep the KV store from growing too large.


NEW QUESTION # 73
Which of the following describes a way to delete multiple duplicate entities in ITSI?

Answer: C

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.
References: 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 # 74
Which of the following is an advantage of using adaptive time thresholds?

Answer: A

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 # 75
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 # 76
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)

Answer: B,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 # 77
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