Authentic Splunk SPLK-1002 Exam Dumps PDF - Mar-2025 Updated
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The SPLK-1002 exam is an essential certification for professionals who want to advance their careers in the field of data analytics. SPLK-1002 exam is a vendor-neutral certification, which means that it is recognized by companies across industries. Additionally, the certification demonstrates that the candidate has the knowledge and skills required to work with Splunk Enterprise in a high-pressure, enterprise-level environment. The SPLK-1002 exam is ideal for professionals who work with Splunk on a regular basis, including IT administrators, security analysts, data analysts, and system administrators. By earning the SPLK-1002 certification, candidates can improve their job prospects, increase their earning potential, and become experts in the field of data analytics.
NEW QUESTION # 40
Select this in the fields sidebar to automatically pipe you search results to the rare command
- A. rare values
- B. events with this field
- C. top values
- D. top values by time
Answer: A
NEW QUESTION # 41
Which of the following statements about data models and pivot are true? (select all that apply)
- A. Data models are created out of datasets called pivots.
- B. Pivot allows the creation of data visualizations that present different aspects of a data model.
- C. Pivot requires users to input SPL searches on data models.
- D. They are both knowledge objects.
Answer: B
Explanation:
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.
NEW QUESTION # 42
What is a limitation of searches generated by workflow actions?
- A. Searches generated by workflow actions must run in the same app as the workflow action.
- B. Searches generated by workflow actions must be less than 256 characters long.
- C. Searches generated by workflow actions run with the same permissions as the user running them.
- D. Searches generated by workflow actions cannot use macros.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 43
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)
- A. Automatic data model acceleration
- B. Fields and event category tags
- C. Custom visualizations
- D. Pre-configured data models
Answer: B,D
NEW QUESTION # 44
This tab shows you the event patterns in the results of a specific search.
- A. statistics
- B. visualization
- C. patterns
Answer: C
NEW QUESTION # 45
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)
- A. Automatic data model acceleration
- B. Fields and event category tags
- C. Custom visualizations
- D. Pre-configured data models
Answer: B,D
Explanation:
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3. The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, option B is correct. The CIM add-on also includes fields and event category tags that define the common attributes and labels for the data models3.
Therefore, option C is correct. The CIM add-on does not include custom visualizations or automatic data model acceleration. Therefore, options A and D are incorrect.
NEW QUESTION # 46
When using the Field Extractor (FX), which of the following delimiters will work? (Choose all that apply.)
- A. Pipes
- B. Spaces
- C. Colons
- D. Tabs
Answer: A,B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
NEW QUESTION # 47
How can an existing accelerated data model be edited?
- A. An accelerated data model can be edited once its .tsidx file has expired.
- B. An accelerated data model can be edited from the Pivot tool.
- C. The data model must be de-accelerated before edits can be made to its structure.
- D. It cannot be edited. A new data model would need to be created.
Answer: C
Explanation:
An existing accelerated data model can be edited, but the data model must be de-accelerated before any structural edits can be made (Option C). This is because the acceleration process involves pre-computing and storing data, and changes to the data model's structure could invalidate or conflict with the pre-computed data.
Once the data model is de-accelerated and edits are completed, it can be re-accelerated to optimize performance.
NEW QUESTION # 48
Which workflow action method can be used the action type is set to link?
- A. GET
- B. PUT
- C. UPDATE
- D. Search
Answer: A
Explanation:
Explanation
https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/SetupaGETworkflowaction Define a GET workflow action Steps Navigate to Settings > Fields Click New to open up a new workflow action form.
Define a Label for the action.
The Label field enables you to define the text that is displayed in either the field or event workflow menu.
Labels can be static or include the value of relevant fields.
Determine whether the workflow action applies to specific fields or event types in your data.
Use Apply only to the following fields to identify one or more fields. When you identify fields, the workflow action only appears for events that have those fields, either in their event menu or field menus. If you leave it blank or enter an asterisk the action appears in menus for all fields.
Use Apply only to the following event types to identify one or more event types. If you identify an event type, the workflow action only appears in the event menus for events that belong to the event type.
For Show action in determine whether you want the action to appear in the Event menu, the Fields menus, or Both.
Set Action type to link.
In URI provide a URI for the location of the external resource that you want to send your field values to.
Similar to the Label setting, when you declare the value of a field, you use the name of the field enclosed by dollar signs.
Variables passed in GET actions via URIs are automatically URL encoded during transmission. This means you can include values that have spaces between words or punctuation characters.
Under Open link in, determine whether the workflow action displays in the current window or if it opens the link in a new window.
Set the Link method to get
Click Save to save your workflow action definition.
NEW QUESTION # 49
Which of the following transforming commands can be used with transactions?
- A. chart, timeehart, datamodel, pivot
- B. chart, timecha:t, stats, pivot
- C. chart, timechart, stats, diff
- D. chart, timechart, stats, eventstats
Answer: D
Explanation:
The correct answer is A. chart, timechart, stats, eventstats.
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.
References:
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 # 50
What is the correct syntax to search for a tag associated with a value on a specific field?
- A. tag=<field>
- B. tag::<field>=<tagname>
- C. tag=<field>::<tagname>
- D. tag=<field>(<tagname>)
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/ TagandaliasfieldvaluesinSplunkWeb
NEW QUESTION # 51
Which of the following statements about event types is true? (select all that apply)
- A. Event types categorize events based on a search.
- B. Event types can be tagged.
- C. Event types can be a useful method for capturing and sharing knowledge.
- D. Event types must include a time range,
Answer: A,B
NEW QUESTION # 52
There is NOT a SAVE AS option when editing a report.
- A. True
- B. False
Answer: A
NEW QUESTION # 53
Which of the following searches show a valid use of a macro? (Choose all that apply.)
- A. index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
- B. index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
- C. index=main source=mySource oldField=* | "'newField('makeMyField(oldField)')'" | table _time newField
- D. index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time newField
Answer: B,D
NEW QUESTION # 54
Why would the following search produce multiple transactions instead of one?
- A. The transaction and commands cannot be used together.
- B. The stats list () function is used.
- C. The maxspan option is not included.
- D. The transaction command has a limit of 1000 events per transaction.
Answer: C
Explanation:
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.
NEW QUESTION # 55
Which of the following statements would help a user choose between the transaction and stats commands?
- A. state can only group events using IP addresses.
- B. There is a 1000 event limitation with the transaction command.
- C. The transaction command is faster and more efficient.
- D. Use state when the events need to be viewed as a single event.
Answer: B
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 # 56
What does the following search do?
index=condlog type=mysterymeat action=eaten I scats count as cornlog_count by us:
- A. Creates a table of the total count of users and split by corndogs.
- B. Creates a table of the total count of mysterymeat corndogs split by user.
- C. Creates a table that groups the total number of users by vegetarian corndogs.
- D. Creates a table with the count of all types of corndogs eaten split by user.
Answer: A
NEW QUESTION # 57
What are the expected results for a search that contains the command | where A=B?
- A. Events that contain the string value A=B.
- B. Events that contain the string value where A=B.
- C. Events where values of field are equal to values of field B.
- D. Events where field A contains the string value B.
Answer: C
Explanation:
Explanation
The correct answer is C. Events where values of field A are equal to values of field B.
The where command is used to filter the search results based on an expression that evaluates to true or false.
The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the field A match the values for the field B, you can use the following syntax:
| where A=B
This will return only the events where the two fields have the same value.
The other options are not correct because they use different syntax or fields that are not related to the where command. These options are:
A: Events that contain the string value where A=B: This option uses the string value where A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text "where A=B" in them.
B: Events that contain the string value A=B: This option uses the string value A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text
"A=B" in them.
D: Events where field A contains the string value B: This option uses quotation marks around the value B, which is not valid syntax for comparing fields with the where command. Quotation marks are used to enclose phrases or exact matches in a search2. This option will return events where the field A contains the string value "B".
References:
where command usage
Search command cheatsheet
NEW QUESTION # 58
Why would the following search produce multiple transactions instead of one?
- A. The transaction command has a limit of 1000 events per transaction.
- B. The maxspan option is not included.
- C. The transaction and commands cannot be used together.
- D. The stats list () function is used.
Answer: A
Explanation:
Explanation
The correct answer is B. The transaction command has a limit of 1000 events per transaction.
The transaction 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 contiguous1.
However, the transaction command has some limitations, one of which is that it can only group up to 1000 events per transaction. This means that if there are more than 1000 events that match the criteria for a transaction, they will be split into multiple transactions. This can result in incomplete or inaccurate transactions2.
To avoid this limitation, you can use the stats command instead of the transaction command. The stats command can also group events by common values, but it does not have a limit on the number of events per group. The stats command also performs faster and consumes less memory than the transaction command1.
In your search, you are using the stats list() function to group events by src_ip and dest_ip. This function returns a multivalue field that contains all the values of a given field for each group. However, this function does not create a single correlated event like the transaction command does. Instead, it creates a table of results with one row per group and one column per field3.
Therefore, your search will produce multiple transactions instead of one because you are using the transaction command with a limit of 1000 events per transaction, and you are using the stats list() function that does not create a single correlated event.
References:
stats command overview
transaction command overview
Splunk Transaction Command: What It Is and How to Use It
Splunk Core Certified Power User SPLK-1002 Practice Exam Part 1
NEW QUESTION # 59
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?
- A. Convert_sales (euro, €, 79)"
- B. Convert_sales (euro, €, .79)
- C. Convert_sales ($euro, $€$,S,79$)
- D. Convert_sales ($euro,$€$,s79$
Answer: B
Explanation:
Reference:
The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$, ...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$, .79).
NEW QUESTION # 60
How are arguments defined within the macro search string?
- A. "arg"
- B. %arg%
- C. $arg$
- D. 'arg'
Answer: C
Explanation:
Arguments are defined within the macro search string by using dollar signs on either side of the argument name, such as arg1 or fragment.
Reference
Search macro examples
Define search macros in Settings
Use search macros in searches
NEW QUESTION # 61
Which of the following statements describes Search workflow actions?
- A. By default. Search workflow actions will run as a real-time search.
- B. The user can define the time range of the search when created the workflow action.
- C. Search workflow actions can be configured as scheduled searches,
- D. Search workflow actions cannot be configured with a search string that includes the transaction command
Answer: B
Explanation:
Search workflow actions are custom actions that run a search when you click on a field value in your search
results. Search workflow actions can be configured with various options, such as label name, search string,
time range, app context, etc. One of the options is to define the time range of the search when creating the
workflow action. You can choose from predefined time ranges, such as Last 24 hours, Last 7 days, etc., or
specify a custom time range using relative or absolute time modifiers. Search workflow actions do not run as
real-time searches by default, but rather use the same time range as the original search unless specified
otherwise. Search workflow actions cannot be configured as scheduled searches, as they are only triggered by
user interaction. Search workflow actions can be configured with any valid search string that includes any
search command, such as transaction.
NEW QUESTION # 62
Highlighted search terms indicate _________ search results in Splunk.
- A. Matching
- B. Sorted
- C. Charted based on time
- D. Display as selected fields.
Answer: A
NEW QUESTION # 63
Which of the following statements describes Search workflow actions?
- A. By default. Search workflow actions will run as a real-time search.
- B. The user can define the time range of the search when created the workflow action.
- C. Search workflow actions can be configured as scheduled searches,
- D. Search workflow actions cannot be configured with a search string that includes the transaction command
Answer: B
NEW QUESTION # 64
......
The SPLK-1002 exam covers topics such as the search process, creating and using lookups, creating visualizations and reports, and configuring alerts. Individuals who successfully pass SPLK-1002 exam will have a deep understanding of how to effectively use Splunk to analyze and visualize data, as well as how to configure alerts and reports to enhance the operational efficiency of their organization. The SPLK-1002 certification is a valuable credential for IT professionals looking to advance their careers in the field of big data and analytics.
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