SPLK-1002 Premium Files Updated Jun-2026 Practice Valid Exam Dumps Question
Practice with SPLK-1002 Dumps for Splunk Core Certified Power User Certified Exam Questions & Answer
The Splunk Core Certified Power User SPLK-1002 exam tests the candidate's fundamental comprehension of SPL searching as well as reporting commands. It also assesses one's skills in making tags along with event types, using macros, and creating workflow actions as well as data models. The test also checks if the candidate can utilize the Common Information Model to normalize data using either Splunk Enterprise or Splunk Cloud Platforms. The overall focus of the exam is on the evaluation of the applicants' understanding of the basic Splunk software and the ability to use it effectively. Finally, SPLK-1002 exam is a requirement for professionals intending to go for the Splunk Core Certified Power User certification.
The SPLK-1002 exam is designed to test the knowledge and skills of Splunk users in various aspects of the platform, including search, reporting, and alerting. SPLK-1002 exam consists of 65 multiple-choice questions and has a time limit of 90 minutes. It is available online and can be taken from anywhere in the world.
NEW QUESTION # 15
When defining a macro, what are the required elements?
- A. Definition and arguments.
- B. Name and definition.
- C. Name and a validation error message.
- D. Name and arguments.
Answer: B
Explanation:
When defining a search macro, the required elements are the name and the definition of the macro. The name
is a unique identifier for the macro that can be used to invoke it in other searches. The definition is the search
string that the macro expands to when referenced. The arguments, validation expression, and validation error
message are optional elements that can be used to customize the macro behavior and input validation2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Define search macros in
Settings.
NEW QUESTION # 16
Which of the following is included with the Common Information Model (CIM) add-on?
- A. Search macros
- B. tsidx files
- C. Event category tags
- D. Workflow actions
Answer: C
Explanation:
Explanation
The correct answer is B. Event category tags. This is because the CIM add-on contains a collection of preconfigured data models that you can apply to your data at search time. Each data model in the CIM consists of a set of field names and tags that define the least common denominator of a domain of interest. Event category tags are used to classify events into high-level categories, such as authentication, network traffic, or web activity. You can use these tags to filter and analyze events based on their category. You can learn more about event category tags from the Splunk documentation12. The other options are incorrect because they are not included with the CIM add-on. Search macros are reusable pieces of search syntax that you can invoke from other searches. They are not specific to the CIM add-on, although some Splunk apps may provide their own search macros. Workflow actions are custom links or scripts that you can run on specific fields or events.
They are also not specific to the CIM add-on, although some Splunk apps may provide their own workflow actions. tsidx files are index files that store the terms and pointers to the raw data in Splunk buckets. They are part of the Splunk indexing process and have nothing to do with the CIM add-on.
NEW QUESTION # 17
What is a limitation of searches generated by workflow actions?
- A. Searches generated by workflow action run with the same permissions as the user running them.
- B. Searches generated by workflow action cannot use macros.
- C. Searches generated by workflow action must run in the same app as the workflow action.
- D. Searches generated by workflow actions must be less than 256 characters long.
Answer: A
NEW QUESTION # 18
Which of the following statements describes the use of the Field Extractor (FX)?
- A. Fields extracted using the Field Extractor persist as knowledge objects.
- B. Fields extracted using the Field Extractor do not persist and must be defined for each search.
- C. The Field Extractor automatically extracts all fields at search time.
- D. The Field Extractor uses PERL to extract fields from the raw events.
Answer: A
NEW QUESTION # 19
Which type of visualization shows relationships between discrete values in three dimensions?
- A. Line chart
- B. Scatter chart
- C. Pie chart
- D. Bubble chart
Answer: D
Explanation:
Explanation
https://docs.splunk.com/Documentation/DashApp/0.9.0/DashApp/chartsBub
NEW QUESTION # 20
Which of the following statements describes this search?
sourcetype=access_combined I transaction JSESSIONID | timechart avg (duration)
- A. No results will be returned because the transaction command must include the startswith and endswith
options. - B. No results will be returned because the transaction command must be the last command used in the search pipeline.
- C. This is a valid search and will display a stats table showing the maximum pause among transactions.
- D. This is a valid search and will display a timechart of the average duration, of each transaction event.
Answer: D
Explanation:
This search uses the transaction command to group events that share a common value for JSESSIONID into
transactions1. The transaction command assigns a duration field to each transaction, which is the difference
between the latest and earliest timestamps of the events in the transaction1. The search then uses the timechart
command to create a time-series chart of the average duration of each transaction1. Therefore, option A is
correct because it describes the search accurately. Option B is incorrect because the search does not use the
stats command or the pause field. Option C is incorrect because the transaction command does not require the
startswith and endswith options, although they can be used to specify how to identify the beginning and end of
a transaction1. Option D is incorrect because the transaction command does not have to be the last command
in the search pipeline, although it is often used near the end of a search1.
NEW QUESTION # 21
Which of the following statements about tags is true? (select all that apply.)
- A. Tags are based on field/vale pairs.
- B. Tags are designed to make data more understandable.
- C. Tags are case-insensitive.
- D. Tags categorize events based on a search.
Answer: A,B
Explanation:
The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are:
Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them.
Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name "status" and the field value "critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.
NEW QUESTION # 22
Which of the following transforming commands can be used with transactions?
- A. chart, timechart, stats, eventstats
- B. chart, timeehart, datamodel, pivot
- C. chart, timechart, stats, diff
- D. 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 # 23
The macro weekly_sales (2) contains the search string:
index-games I eval Product Sales = $price$ $AmountS01d$
Which of the following will return results?
- A. 'weekly_sales (3.99, 10)
- B. 'weekly_sales(3)
- C. 'weekly_sales(3.99, 10) '
- D. 'weekly_sales($3.99$, $10$)
Answer: A
Explanation:
Explanation
The correct answer is C. 'weekly_sales (3.99, 10)'. This is because search macros accept arguments without quotation marks or dollar signs, and the number of arguments must match the number of parameters defined in the macro. The other options are incorrect because they either use quotation marks or dollar signs around the arguments, or they provide a different number of arguments than the macro expects. You can learn more about how to use search macros in searches from the Splunk documentation1.
NEW QUESTION # 24
Which of the following is one of the pre-configured data models included in the Splunk Common Information Model (CIM) add-on?
- A. Authentication
- B. Accounting
- C. Authorization
- D. Access
Answer: A
NEW QUESTION # 25
The time range specified for a historical search defines the ____________ .------questionable on ans
- A. Time range for the static results
- B. Amount of data fetched from index matching that time range
- C. Amount of data shown on the timeline as data streams in
Answer: B
Explanation:
Explanation
The time range specified for a historical search defines the amount of data fetched from the index matching that time range2. A historical search is a search that runs over a fixed period of time in the past2. When you run a historical search, Splunk searches the index for events that match your search string and fall within the specified time range2. Therefore, option B is correct, while options A and C are incorrect because they are not what the time range defines for a historical search.
NEW QUESTION # 26
Which of the following statements best describes a macro?
- A. A macro is a method of categorizing events based on a search.
- B. A macro is a portion of a search that can be reused in multiple place
- C. A macro is a knowledge object that enables you to schedule searches for specific events.
- D. A macro is a way to associate an additional (new) name with an existing field name.
Answer: B
Explanation:
The correct answer is C. A macro is a portion of a search that can be reused in multiple places.
A macro is a way to reuse a piece of SPL code in different searches. A macro can be any part of a search, such as an eval statement or a search term, and does not need to be a complete command. A macro can also take arguments, which are variables that can be replaced by different values when the macro is called. A macro can also contain another macro within it, which is called a nested macro1.
To create a macro, you need to define its name, definition, arguments, and description in the Settings > Advanced Search > Search Macros page in Splunk Web or in the macros.conf file. To use a macro in a search, you need to enclose the macro name in backtick characters (`) and provide values for the arguments if any1.
For example, if you have a macro named my_macro that takes one argument named object and has the following definition:
search sourcetype= object
You can use it in a search by writing:
my_macro(web)
This will expand the macro and run the following SPL code:
search sourcetype=web
The benefits of using macros are that they can simplify complex searches, reduce errors, improve readability, and promote consistency1.
The other options are not correct because they describe other types of knowledge objects in Splunk, not macros. These objects are:
* A. An event type is a method of categorizing events based on a search. An event type assigns a label to events that match a specific search criteria. Event types can be used to filter and group events, create alerts, or generate reports2.
* B. A field alias is a way to associate an additional (new) name with an existing field name. A field alias can be used to normalize fields from different sources that have different names but represent the same data. Field aliases can also be used to rename fields for clarity or convenience3.
* D. An alert is a knowledge object that enables you to schedule searches for specific events and trigger actions when certain conditions are met. An alert can be used to monitor your data for anomalies, errors, or other patterns of interest and notify you or others when they occur4.
References:
* About event types
* About field aliases
* About alerts
* Define search macros in Settings
* Use search macros in searches
NEW QUESTION # 27
Which knowledge Object does the Splunk Common Information Model (CIM) use to normalize data. in
addition to field aliases, event types, and tags?
- A. Lookups
- B. Field extractions
- C. Workflow actions
- D. Macros
Answer: A
Explanation:
Normalize your data for each of these fields using a combination of field aliases, field extractions, and
lookups.
https://docs.splunk.com/Documentation/CIM/4.15.0/User/UsetheCIMtonormalizedataatsearchtime
NEW QUESTION # 28
Why are tags useful in Splunk?
- A. Tags add fields to the raw event data.
- B. Tags look for less specific data.
- C. Tags visualize data with graphs and charts.
- D. Tags group related data together.
Answer: D
Explanation:
Tags are a type of knowledge object that enable you to assign descriptive keywords to events based on the values of their fields. Tags can help you to search more efficiently for groups of event data that share common characteristics, such as functionality, location, priority, etc. For example, you can tag all the IP addresses of your routers as router, and then search for tag=router to find all the events related to your routers. Tags can also help you to normalize data from different sources by using the same tag name for equivalent field values. For example, you can tag the field values error, fail, and critical as severity=high, and then search for severity=high to find all the events with high severity level2
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and aliases.
NEW QUESTION # 29
A space is an implied _____ in a search string.
- A. AND
- B. NOT
- C. ()
- D. OR
Answer: A
Explanation:
A space is an implied AND in a search string, which means that it acts as a logical operator that returns events
that match both terms on either side of the space2. For example, status=200 method=GET will return events
that have both status=200 and method=GET2. Therefore, option B is correct, while options A, C and D are
incorrect because they are not implied by a space in a search string.
NEW QUESTION # 30
When using the Field Extractor (FX), which of the following delimiters will work? (Choose all that apply.)
- A. Pipes
- B. Colons
- C. Spaces
- D. Tabs
Answer: A,C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
NEW QUESTION # 31
Which of the following statements would help a user choose between the transaction and stats commands?
- A. Use state when the events need to be viewed as a single event.
- B. state can only group events using IP addresses.
- C. There is a 1000 event limitation with the transaction command.
- D. The transaction command is faster and more efficient.
Answer: C
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/SearchReference/Transaction One of the statements that would help a user choose between the transaction and stats commands is that there is a 1000 event limitation with the transaction command3.
The transaction command is used to group events that share a common value for one or more fields into transactions3. The transaction command has a default limit of 1000 events per transaction, which means that it will not group more than 1000 events into a single transaction3. This limit can be changed by using the maxevents parameter, but it can affect the performance and memory usage of Splunk3. Therefore, option C is correct, while options A, B and D are incorrect because they are not statements that would help a user choose between the transaction and stats commands.
NEW QUESTION # 32
Which one of the following statements about the searchcommand is true?
- A. It does not allow the use of wildcards.
- B. It can only be used at the beginning of the search pipeline.
- C. It behaves exactly like search strings before the first pipe.
- D. It treats field values in a case-sensitive manner.
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand
NEW QUESTION # 33
Which of the following statements about tags is true?
- A. Tags are searched by using the syntax tag: : <fieldneme>
- B. Tags are created at index time.
- C. Tags can make your data more understandable.
- D. Tags are case insensitive.
Answer: C
Explanation:
Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as "200" with "OK" or "success" to indicate that it is a HTTP status code for a successful request. Tags are case sensitive, meaning that "OK" and "ok" are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag you want to search for.
NEW QUESTION # 34
Which of the following knowledge objects represents the output of an evalexpression?
- A. Eval fields
- B. Calculated lookups
- C. Field extractions
- D. Calculated fields
Answer: D
Explanation:
Explanation/Reference: https://docs.splunk.com/Splexicon:Calculatedfield
NEW QUESTION # 35
Which of the following knowledge objects represents the output of an eval expression?
- A. Eval fields
- B. Calculated lookups
- C. Field extractions
- D. Calculated fields
Answer: D
NEW QUESTION # 36
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Splunk SPLK-1002 certification exam is a valuable credential for anyone looking to demonstrate their expertise in using Splunk software for data analysis and troubleshooting. It is a rigorous exam that tests candidates’ abilities to perform complex tasks and optimize deployments, making it a valuable asset for professionals in the IT industry.
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