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Splunk SPLK-1002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Core Certified Power User Exam
Exam Number:SPLK-1002
Exam Price:$130 USD
Exam Duration:60 minutes
Exam Format:Multiple Choice, Multiple Response
Certificate Validity Period:3 years
Passing Score:700 / 1000
Real Exam Qty:65
Related Certifications:Splunk Core Certified Power User
Available Languages:English
Sample Questions:Splunk SPLK-1002 Sample Questions
Exam Way:Proctored via Pearson VUE
Pre Condition:None. No prerequisite exams required.
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html

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SPLK-1002 Exam Simulator - Exam Sample SPLK-1002 Questions

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Splunk SPLK-1002 certification exam is intended for individuals who have experience in Splunk administration and can manage complex Splunk deployments. SPLK-1002 exam covers topics such as configuring indexes, creating and managing alerts, creating and managing reports, and searching and analyzing data using Splunk. Splunk Core Certified Power User Exam certification exam also assesses the candidate's ability to troubleshoot common issues that arise during Splunk deployments.

The SPLK-1002 Exam covers a range of topics, including searching and filtering data, creating reports and dashboards, using field aliases and calculations, working with lookups and macros, and configuring alerts and scheduled reports. To prepare for the exam, Splunk offers a range of training courses and resources, including online courses, instructor-led training, and study guides.

Splunk Core Certified Power User Exam Sample Questions (Q285-Q290):

NEW QUESTION # 285
Highlighted search terms indicate _________ search results in Splunk.

Answer: D

Explanation:
Highlighted search terms indicate matching search results in Splunk, which means that they show which parts of your events match your search string2. For example, if you search for error OR fail, Splunk will highlight error or fail in your events to show which events match your search string2. Therefore, option D is correct, while options A, B and C are incorrect because they are not indicated by highlighted search terms.


NEW QUESTION # 286
Which of the following searches would create a graph similar to the one below?

Answer: A


NEW QUESTION # 287
Which delimiters can the Field Extractor (FX) detect? (Choose all that apply.)

Answer: A,B,C

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep


NEW QUESTION # 288
Which of the following statements about tags is true?

Answer: A


NEW QUESTION # 289
Which of the following transforming commands can be used with transactions?
chart, timechart, stats, eventstats
chart, timechart, stats, diff
chart, timeehart, datamodel, pivot
chart, timecha:t, stats, pivot

Answer: A

Explanation:
Transforming commands are commands that change the format of the search results into a table or a chart. They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
chart: This command creates a table or a chart that shows the relationship between two or more fields. It can be used to aggregate values, count occurrences, or calculate statistics3.
timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
stats: This command calculates 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 fields5.
eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
| chart count by user : This command creates a table or a chart that shows how many transactions each user has.
| timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
| stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
| eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
Explanation:
The correct answer is
Reference:
About transforming commands
About transactions
chart command overview
timechart command overview
stats command overview
[eventstats command overview]
[diff command overview]
[datamodel command overview]
[pivot command overview]


NEW QUESTION # 290
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