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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Core Certified Power User Exam |
| Exam Number: | SPLK-1002 |
| Available Languages: | English |
| Real Exam Qty: | 65 |
| Exam Price: | $130 USD per attempt |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple choice questions |
| Related Certifications: | Splunk Cloud Certified Admin Splunk Enterprise Certified Admin Splunk Core Certified User Splunk Core Certified Advanced Power User |
| Recommended Training: | Splunk Core Certified Power User Learning Path |
| Exam Registration: | Official Splunk Certification Registration |
| Sample Questions: | Splunk SPLK-1002 Sample Questions |
| Exam Way: | Online proctored or onsite via Pearson VUE |
| Pre Condition: | None |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html |
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Splunk SPLK-1002 Certification Exam is a highly sought-after certification for IT professionals who are interested in mastering the core concepts of Splunk. SPLK-1002 exam is designed to test the knowledge and skills of the candidates in using Splunk to collect, analyze, and visualize data from various sources. Splunk Core Certified Power User Exam certification is the second level of certification in the Splunk certification program, following the Splunk SPLK-1001 certification.
NEW QUESTION # 208
A field alias is created where field1-fieid2 and the Overwrite Field Values checkbox is selected.
What happens if an event only contains values for fieid1?
Answer: C
NEW QUESTION # 209
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
Answer: A,B,C,D
Explanation:
Data model fields are fields that describe the attributes of a dataset in a data model2. Data model fields can be added using various methods such as Auto-Extracted, Evaluated or Lookup2. Auto-Extracted fields are fields that are automatically extracted from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Auto-Extracted fields can be hidden in Pivot, which means that you can choose whether to display them or not in the Pivot interface2. Therefore, option A is correct. Auto-Extracted fields can have their data type changed, which means that you can specify whether they are strings, numbers, booleans or timestamps2. Therefore, option B is correct. Auto-Extracted fields can be given a friendly name for use in Pivot, which means that you can assign an alternative name to them that is more descriptive or user-friendly than the original field name2. Therefore, option C is correct. Auto-Extracted fields can be added if they already exist in the dataset with constraints, which means that you can include them in your data model even if they are already extracted from your raw data by applying filters or constraints to limit the scope of your dataset2. Therefore, option D is correct.
NEW QUESTION # 210
Data models are composed of one or more of which of the following datasets? (select all that apply)
Answer: A,B,D
Explanation:
Explanation
Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset
NEW QUESTION # 211
Which of the following describes the I transaction command?
Answer: B
Explanation:
The transaction command is a Splunk command that finds transactions based on events that meet various constraints .
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member .
The transaction command groups events together by matching one or more fields that have the same value across the events . For example, | transaction clientip will group events that have the same value in the clientip field.
NEW QUESTION # 212
Which of the following statements is true, especially in large environments?
Answer: C
Explanation:
Reference:
The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.
NEW QUESTION # 213
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