[Feb-2025] SPLK-1002 Exam Dumps, SPLK-1002 Practice Test Questions
Attested SPLK-1002 Dumps PDF Resource [2025]
NEW QUESTION # 117
Data models are composed of one or more of which of the following datasets? (Choose all that apply.)
- A. Search datasets
- B. Any child of event, transaction, and search datasets
- C. Events datasets
- D. Transaction datasets
Answer: A,C,D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Aboutdatamodels
NEW QUESTION # 118
Which group of users would most likely use pivots?
- A. Knowledge Managers
- B. Architects
- C. Administrators
- D. Users
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot
NEW QUESTION # 119
When is a GET workflow action needed?
- A. To define how events flow from forwarders to indexes.
- B. To retrieve information from an external resource.
- C. To use field values to perform a secondary search.
- D. To send field values to an external resource.
Answer: B
NEW QUESTION # 120
How could the following syntax for the chart command be rewritten to remove the OTHER category? (select all that apply)
- A. | chart count over CurrentStanding by Action useother=f
- B. | chart count over CurrentStanding by Action usenull-f useother-t
- C. | chart count over CurrentStanding by Action limit-10
- D. | chart count over CurrentStanding by Action limit=10 useother=f
Answer: A,D
Explanation:
In Splunk, when using thechartcommand, theuseotherparameter can be set tofalse(f) to remove the 'OTHER' category, which is a bucket that Splunk uses to aggregate low-cardinality groups into a single group to simplify visualization. Here's how the options break down:
A:| chart count over CurrentStanding by Action useother=fThis command correctly sets theuseother parameter tofalse, which would prevent the 'OTHER' category from being displayed in the resulting visualization.
B:| chart count over CurrentStanding by Action usenull=f useother=tThis command hasuseotherset to true(t), which means the 'OTHER' category would still be included, so this is not a correct option.
C:| chart count over CurrentStanding by Action limit=10 useother=fSimilar to option A, this command also setsuseothertofalse, additionally imposing a limit to the top 10 results, which is a way to control the granularity of the chart but also to remove the 'OTHER' category.
D:| chart count over CurrentStanding by Action limit-10This command has a syntax error (limit-10should belimit=10) and does not include theuseother=fclause. Therefore, it would not remove the 'OTHER' category, making it incorrect.
The correct answers to rewrite the syntax to remove the 'OTHER' category are options A and C, which explicitly setuseother=f.
NEW QUESTION # 121
In what order arc the following knowledge objects/configurations applied?
- A. Field Extractions, Lookups, Field Aliases
- B. Field Extractions, Field Aliases, Lookups
- C. Lookups, Field Aliases, Field Extractions
- D. Field Aliases, Field Extractions, Lookups
Answer: A
NEW QUESTION # 122
What are the expected results for a search that contains the command | where A=B?
- A. Events where field A contains the string value B.
- B. Events where values of field are equal to values of field B.
- C. Events that contain the string value A=B.
- D. Events that contain the string value where A=B.
Answer: B
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 # 123
In which of the following scenarios is an event type more effective than a saved search?
- A. When a search needs to be added to other users' dashboards.
- B. When formatting needs to be included with the search string.
- C. When a search should always include the same time range.
- D. When the search string needs to be used in future searches.
Answer: A
Explanation:
Reference:
https://answers.splunk.com/answers/4993/eventtype-vs-saved-search.html
NEW QUESTION # 124
What is the Splunk Common Information Model (CIM)?
- A. The CIM defines an ecosystem of apps that can be fully supported by Splunk.
- B. The CIM provides a methodology to normalize data from different sources and source types.
- C. The CIM is a data exchange initiative between software vendors.
- D. The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.
Answer: B
NEW QUESTION # 125
What does the following search do?
- A. Creates a table of the total count of users and split by corndogs.
- B. Creates a table with the count of all types of corndogs eaten split by user.
- C. Creates a table that groups the total number of users by vegetarian corndogs.
- D. Creates a table of the total count of mysterymeat corndogs split by user.
Answer: A
NEW QUESTION # 126
Which of the following statements describes the use of the Filed Extractor (FX)?
- A. Field extracted using the Extracted 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 uses PERL to extract field from the raw events.
- D. The Field Extractor automatically extracts all field at search time.
Answer: A
Explanation:
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or
by manually editing the regular expression2. The FX allows you to create field extractions that persist as
knowledge objects, which are entities that you create to add knowledge to your data and make it easier to
search and analyze2. Field extractions are methods that extract fields from your raw data using various
techniques such as regular expressions, delimiters or key-value pairs2. When you create a field extraction
using the FX, you can save it as a knowledge object that applies to your data at search time2. You can also
manage and share your field extractions with other users in your organization2. Therefore, option C is correct,
while options A, B and D are incorrect because they do not describe the use of the FX.
NEW QUESTION # 127
Which of the following statements about tags is true? (select all that apply.)
- A. Tags are designed to make data more understandable.
- B. Tags are based on field/vale pairs.
- 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 # 128
When would a user select delimited field extractions using the Field Extractor (FX)?
- A. When a log file has values that are separated by the same character, for example, commas.
- B. When a log file contains empty lines or comments.
- C. When the file has a header that might provide information about its structure or format.
- D. With structured files such as JSON or XML.
Answer: A
Explanation:
The correct answer is A. When a log file has values that are separated by the same character, for example,
commas.
The Field Extractor (FX) is a utility in Splunk Web that allows you to create new fields from your events by
using either regular expressions or delimiters.The FX provides a graphical interface that guides you through
the steps of defining and testing your field extractions1.
The FX supports two field extraction methods: regular expression and delimited. The regular expression
method works best with unstructured event data, such as logs or messages, that do not have a consistent format
or structure.You select a sample event and highlight one or more fields to extract from that event, and the FX
generates a regular expression that matches similar events in your data set and extracts the fields from them1.
The delimited method is designed for structured event data: data from files with headers, where all of the fields
in the events are separated by a common delimiter, such as a comma, a tab, or a space.You select a sample
event, identify the delimiter, and then rename the fields that the FX finds1.
Therefore, you would select the delimited field extraction method when you have a log file that has values that
are separated by the same character, for example, commas. This method will allow you to easily extract the
fields based on the delimiter without writing complex regular expressions.
The other options are not correct because they are not suitable for the delimited field extraction method. These
options are:
B: When a log file contains empty lines or comments: This option does not indicate that the log file has
a structured format or a common delimiter. The delimited method might not work well with this type of
data, as it might miss some fields or include some unwanted values.
C:With structured files such as JSON or XML: This option does not require the delimited method, as
Splunk can automatically extract fields from JSON or XML files by using indexed extractions or
search-time extractions2. The delimited method might not work well with this type of data, as it might
not recognize the nested structure or the special characters.
D: When the file has a header that might provide information about its structure or format: This option
does not indicate that the file has a common delimiter between the fields. The delimited method might
not work well with this type of data, as it might not be able to identify the fields based on the header
information.
References:
Build field extractions with the field extractor
Configure indexed field extraction
NEW QUESTION # 129
Which of the following can be used with the eval command tostring function (select all that apply)
- A. ''duration''
- B. ''Decimal''
- C. ''commas''
- D. ''hex''
Answer: A,C,D
NEW QUESTION # 130
How is a Search Workflow Action configured to run at the same time range as the original search?
- A. Set the earliest time to match the original search.
- B. Select the "Overwrite time range with the original search" checkbox.
- C. Select the "Use the same time range as the search that created the field listing" checkbox.
- D. Select the same time range from the time-range picker.
Answer: C
Explanation:
To configure a Search Workflow Action to run at the same time range as the original search, you need to select the "Use the same time range as the search that created the field listing" checkbox. This will ensure that the workflow action search uses the same earliest and latest time parameters as the original search.
NEW QUESTION # 131
What is the correct way to name a macro with two arguments?
- A. us_sales2
- B. us_sales(2)
- C. us_sales(1,2)
- D. us_sale,2
Answer: B
NEW QUESTION # 132
What functionality does the Splunk Common Information Model (CIM) rely on to normalize fields with different names?
- A. Field aliases.
- B. The rename command.
- C. Macros.
- D. CIM does not work with different names for the same field.
Answer: A
NEW QUESTION # 133
The timechart command buckets data in time intervals depending on:
- A. the number of events returned
- B. the type of visualization selected
- C. the selected time range
Answer: C
Explanation:
The timechart command buckets data in time intervals depending on the selected time range2. The timechart
command is similar to the chart command but it automatically groups events into time buckets based on the
_time field2. The size of the time buckets depends on the time range that you select for your search. For
example, if you select Last 24 hours as your time range, Splunk will use 30-minute buckets for your
timechart. If you select Last 7 days as your time range, Splunk will use 4-hour buckets for your timechart2.
Therefore, option B is correct, while options A and C are incorrect because they are not factors that affect the
size of the time buckets.
NEW QUESTION # 134
Which search retrieves events with the event type web_errors?
- A. eventtype=web_errors
- B. tag=web_errors
- C. eventtype "web errors"
- D. eventtype (web_errors)
Answer: A
Explanation:
Explanation
The correct answer is B. eventtype=web_errors.
An event type is a way to categorize 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 reports1.
To search for events that have a specific event type, you need to use the eventtype field with the name of the event type as the value. The syntax for this is:
eventtype=<event_type_name>
For example, if you want to search for events that have the event type web_errors, you can use the following syntax:
eventtype=web_errors
This will return only the events that match the search criteria defined by the web_errors event type.
The other options are not correct because they use different syntax or fields that are not related to event types.
These options are:
A: tag=web_errors: This option uses the tag field, which is a way to add descriptive keywords to events based on field values. Tags are different from event types, although they can be used together. Tags can be used to filter and group events by common characteristics2.
C: eventtype "web errors": This option uses quotation marks around the event type name, which is not valid syntax for the eventtype field. Quotation marks are used to enclose phrases or exact matches in a search3.
D: eventtype (web_errors): This option uses parentheses around the event type name, which is also not valid syntax for the eventtype field. Parentheses are used to group expressions or terms in a search3.
References:
About event types
About tags
Search command cheatsheet
NEW QUESTION # 135
When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied. (Select all that apply).
- A. ( )
- B. AND
- C. NOT
- D. OR
Answer: A,C,D
NEW QUESTION # 136
Which search mode returns all fields?
- A. Verbose mode
- B. Fast mode
- C. Smart mode
Answer: A
NEW QUESTION # 137
Which of the following statements is true, especially in large environments?
- A. Use the scats command when you next to group events by two or more fields.
- B. Use the transaction command when you want to see the results of a calculation.
- C. The transaction command is faster and more efficient than the stats command.
- D. The stats command is faster and more efficient than the transaction command
Answer: D
Explanation:
Reference:
The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.
NEW QUESTION # 138
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