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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Core Certified Power User Exam |
| Exam Number: | SPLK-1002 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Real Exam Qty: | 65 |
| Related Certifications: | Splunk Enterprise Certified Admin Splunk Core Certified Advanced Power User |
| Exam Price: | $130 USD |
| Exam Format: | Multiple choice, Multiple response |
| Passing Score: | 70% |
| Exam Duration: | 60 minutes |
| Recommended Training: | Official Splunk Certification Page Splunk Fundamentals 2 |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-1002 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; recommended to complete Splunk Fundamentals 2 course and have 3–6 months of hands-on experience |
| 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 exam is a computer-based exam that consists of 65 multiple-choice questions. Candidates have 90 minutes to complete the exam, and they must achieve a passing score of 70% or higher to earn the certification. SPLK-1002 Exam covers a range of topics, including search fundamentals, search commands, transforming commands, data models, pivot, and dashboards.
NEW QUESTION # 205
Which of the following is a feature of the Pivot tool?
Answer: D
Explanation:
Explanation
The correct answer is C. Creates reports without using SPL. This is because the Pivot tool is a feature of Splunk that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL). You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations. You can learn more about the Pivot tool from the Splunk documentation1 or watch a video tutorial2. The other options are incorrect because they do not describe the features of the Pivot tool. The Pivot tool requires data models and datasets to define the data that you want to work with. Data models and datasets are designed by the knowledge managers in your organization. You can learn more about data models and datasets from the Splunk documentation3. The Pivot tool does not create lookups, which are tables that match field values to other field values. You can create lookups using SPL or the Lookup Editor. You can learn more about lookups from the Splunk documentation.
NEW QUESTION # 206
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?
Answer: C
Explanation:
The correct answer is D. eval.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
A calculated field is a shortcut for performing repetitive, long, or complex transformations using the eval command. The eval command is used to create or modify fields by using expressions. The eval command can perform mathematical, string, date and time, comparison, logical, and other operations on fields or values2.
For example, if you want to create a new field named total that is the sum of two fields named price and tax, you can use the eval command as follows:
| eval total=price+tax
However, if you want to use this new field in multiple searches, reports, or dashboards, you can create a calculated field instead of writing the eval command every time. To create a calculated field with Splunk Web, you need to go to Settings > Fields > Calculated Fields and enter the name of the new field (total), the name of the sourcetype (sales), and the eval expression (price+tax). This will create a calculated field named total that will be added to all events with the sourcetype sales at search time. You can then use the total field like any other extracted field without writing the eval expression1.
The other options are not correct because they are not related to calculated fields. These options are:
* A. transaction: This command is used to group events that share some common values into a single record, called a transaction. A transaction can span multiple events and multiple sources, and can be useful for correlating events that are related but not contiguous3.
* B. lookup: This command is used to enrich events with additional fields from an external source, such as a CSV file or a database. A lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field.
* C. stats: This command is used to calculate summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields.
References:
* About calculated fields
* eval command overview
* transaction command overview
* [lookup command overview]
* [stats command overview]
NEW QUESTION # 207
Which of the following statements describes the use of the Field Extractor (FX)?
Answer: A
Explanation:
The statement that fields extracted using the Field Extractor persist as knowledge objects is true. The Field
Extractor (FX) is a graphical tool that allows you to extract fields from raw events using regularexpressions or
delimiters. The fields extracted by the FX are saved as knowledge objects that can be used in future searches
or shared with other users.
NEW QUESTION # 208
Complete the search, .... | _____ failure>successes
Answer: B
Explanation:
Any of the above
Explanation:
The where command can be used to complete the search below.
... | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteri a. The where command can use any boolean expression or function to evaluate each event and determine whether to keep it or discard it. The where command can also compare fields or perform calculations on fields using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command that creates a table or a chart.
The search string below does the following:
It uses ... to represent any search criteria or commands before the where command.
It uses the where command to filter events based on a comparison between two fields: failure and successes.
It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
It only keeps events where failure is greater than successes.
NEW QUESTION # 209
Which of the following statements about tags is true?
Answer: B
Explanation:
Tags are a knowledge object that allow you to assign an alias to one or more field values . Tags are applied to events at search time and can be used as search terms or filters .
Tags can help you make your data more understandable by replacing cryptic or complex field values with meaningful names . For example, you can tag the value 200 in the status field as success, or tag the value 404 as not_found .
NEW QUESTION # 210
......
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