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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Core Certified Power User Exam |
| Exam Number: | SPLK-1002 |
| Exam Format: | Multiple choice questions |
| Available Languages: | English |
| Exam Duration: | 60 minutes |
| Exam Price: | $130 USD per attempt |
| Related Certifications: | Splunk Core Certified Advanced Power User Splunk Core Certified User Splunk Enterprise Certified Admin Splunk Cloud Certified Admin |
| Real Exam Qty: | 65 |
| 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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NEW QUESTION # 204
What is the Splunk Common Information Model (CIM)?
Answer: A
Explanation:
The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.
NEW QUESTION # 205
When creating a data model, which root dataset requires at least one constraint?
Answer: A
Explanation:
The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that
filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that
returns a fairly wide range of data, such assourcetype=access_combined. Without a constraint, a root event
dataset would include all the events in the index, which is not useful for data modeling.You can learn more
about how to design data models and add root event datasets from the Splunk documentation1. The other
options are incorrect because root transaction datasets and root search datasets have different ways of defining
their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type
of root dataset.
NEW QUESTION # 206
Which of these search strings is NOT valid:
Answer: B
Explanation:
This search string is not valid: index=web status=50* | chart count over host,status2. This search string uses an invalid syntax for the chart command. The chart command requires one field after the over clause and optionally one field after the by clause. However, this search string has two fields after the over clause separated by a comma. This will cause a syntax error and prevent the search from running. Therefore, option A is correct, while options B and C are incorrect because they are valid search strings that use the chart command correctly.
NEW QUESTION # 207
After manually editing a regular expression (regex), which of the following statements is true?
Answer: D
Explanation:
Explanation
NEW QUESTION # 208
During the validation step of the Field Extractor workflow:
Select your answer.
Answer: C
Explanation:
During the validation step of the Field Extractor workflow, you can remove values that aren't a match for the field you want to define2. The validation step allows you to review and edit the values that have been extracted by the FX and make sure they are correct and consistent2. You can remove values that aren't a match by clicking on them and selecting Remove Value from the menu2. This will exclude them from your field extraction and update the regular expression accordingly2. Therefore, option A is correct, while options B and C are incorrect because they are not actions that you can perform during the validation step of the Field Extractor workflow.
NEW QUESTION # 209
......
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