Splunk SPLK-1002 Practice Verified Answers - Pass Your Exams For Sure! [2025]
Valid Way To Pass Splunk Core Certified Power User's SPLK-1002 Exam
Splunk SPLK-1002 exam is the certification exam for the Splunk Core Certified Power User. SPLK-1002 exam tests the candidate's ability to use Splunk to perform tasks such as creating advanced reports, dashboards, and alerts, configuring field aliases and calculated fields, and creating and managing lookups. SPLK-1002 exam also covers topics such as data models, pivot, and charting, and Splunk Enterprise Security.
NEW QUESTION # 94
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe
Auto-Extracted fields? (select all that apply)
- A. Auto-Extracted fields can have their data type changed.
- B. Auto-Extracted fields can be given a friendly name for use in Pivot.
- C. Auto-Extracted fields can be added if they already exist in the dataset with constraints.
- D. Auto-Extracted fields can be hidden in Pivot.
Answer: A,B,C,D
Explanation:
Data model fields are fields that describe the attributes of a dataset in a data model2. Data model fields can be
added using various methods such as Auto-Extracted, Evaluated or Lookup2. Auto-Extracted fields are fields
that are automatically extracted from your raw data using various techniques such as regular expressions,
delimiters or key-value pairs2. Auto-Extracted fields can be hidden in Pivot, which means that you can choose
whether to display them or not in the Pivot interface2. Therefore, option A is correct. Auto-Extracted fields
can have their data type changed, which means that you can specify whether they are strings, numbers,
booleans or timestamps2. Therefore, option B is correct. Auto-Extracted fields can be given a friendly name
for use in Pivot, which means that you can assign an alternative name to them that is more descriptive or
user-friendly than the original field name2. Therefore, option C is correct. Auto-Extracted fields can be added
if they already exist in the dataset with constraints, which means that you can include them in your data model
even if they are already extracted from your raw data by applying filters or constraints to limit the scope of
your dataset2. Therefore, option D is correct.
NEW QUESTION # 95
What information must be included when using the datamodelcommand?
- A. Data model field name.
- B. statusfield
- C. Multiple indexes
- D. Data model dataset name.
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.1.1/SearchReference/Datamodel
NEW QUESTION # 96
What is required for a macro to accept three arguments?
- A. The macro's argument count setting is 3 or more.
- B. Nothing, all macros can accept any number of arguments.
- C. The macro's name starts with (3).
- D. The macro's name ends with (3).
Answer: D
Explanation:
To create a macro that accepts arguments, you must include the number of arguments in parentheses at the end
of the macro name1. For example, my_macro(3) is a macro that accepts three arguments. The number of
arguments in the macro name must match the number of arguments in the definition1. Therefore, option A is
correct, while options B, C and D are incorrect.
NEW QUESTION # 97
Calculated fields can be based on which of the following?
- A. Fields generated from a search string
- B. Output fields for a lookup
- C. Tags
- D. Extracted fields
Answer: D
Explanation:
"Calculated fields can reference all types of field extractions and field aliasing, but they cannot reference
lookups, event types, or tags."
NEW QUESTION # 98
Running a scheduled saved report______.
- A. Returns a fresh results set
- B. Returns the results from the last time the report was saved
Answer: A
NEW QUESTION # 99
In most large Splunk environments, what is the most efficient command that can be used to group events by
fields/
- A. stats
- B. transaction
- C. streamstats
- D. join
Answer: A
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.0.2/Search/Abouttransactions
In other cases, it's usually better to use the stats command, which performs more efficiently, especially in a
distributed environment. Often there is a unique ID in the events and stats can be used.
NEW QUESTION # 100
When using | timchart by host, which filed is representted in the x-axis?
- A. date
- B. time
- C. host
- D. -time
Answer: A
NEW QUESTION # 101
__________ datasets can be added to root dataset to narrow down the search
- A. parent
- B. extracted
- C. event
- D. child
Answer: D
Explanation:
Child datasets can be added to root datasets to narrow down the search. Datasets are collections of events that represent your data in a structured and hierarchical way. Datasets can be created by using commands such as datamodel or pivot. Datasets can have different types, such as events, search, transaction, etc. Datasets can also have different levels, such as root or child. Root datasets are base datasets that contain all events from a data model or an index. Child datasets are derived datasets that contain a subset of events from a parent dataset based on some constraints, such as search terms, fields, time range, etc. Child datasets can be added to root datasets to narrow down the search and filter out irrelevant events.
NEW QUESTION # 102
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 # 103
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?
- A. lookup
- B. transaction
- C. stats
- D. eval
Answer: D
Explanation:
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 # 104
Which of the following searches will return events containing a tag named Privileged?
- A. tag=Priv*
- B. tag=privileged
- C. tag=Priv
- D. tag=priv*
Answer: A
Explanation:
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts
with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches
will not match the exact tag name.
NEW QUESTION # 105
Which field will be used to populate the field if the productName and product:d fields have values for a given
event?
| eval productINFO=coalesco(productName,productid)
- A. Neither field value will be used and the field will be assigned a NULL value for the given event.
- B. The value for the productName field because it appears first.
- C. The value for the field because it appears second.
- D. Both field values will be used and the product INFO field will become a multivalue field for the given
event.
Answer: B
Explanation:
The correct answer is B. The value for the productName field because it appears first.
The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first
value that is not null.A null value means that the field has no value at all, while an empty value means that the
field has a value, but it is "" or zero-length1.
The coalesce function can be used to combine fields that have different names but represent the same data,
such as IP address or user name.The coalesce function can also be used to rename fields for clarity or
convenience2.
The syntax for the coalesce function is:
coalesce(<field1>,<field2>,...)
The coalesce function will return the value of the first field that is not null in the argument list. If all fields are
null, the coalesce function will return null.
For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you
can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress,
depending on which is not null:
| eval ip=coalesce(clientip,ipaddress)
In your example, you have a set of events where the product name is extracted to either productName or
productid, and you use the coalesce function to define a new field called productINFO, that takes the value of
either productName or productid, depending on which is not null:
| eval productINFO=coalesce(productName,productid)
If both productName and productid fields have values for a given event, the coalesce function will return the
value of the productName field because it appears first in the argument list. The productid field will be ignored
by the coalesce function.
Therefore, the value for the productName field will be used to populate the productINFO field if both fields
have values for a given event.
References:
Search Command> Coalesce
USAGE OF SPLUNK EVAL FUNCTION : COALESCE
NEW QUESTION # 106
When multiple event types with different color values are assigned to the same event, what determines the
color displayed for the events?
- A. Precedence
- B. Priority
- C. Weight
- D. Rank
Answer: B
Explanation:
Reference:https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Knowledge/Defineeventtypes
When multiple event types with different color values are assigned to the same event, the color displayed for
the events is determined by the priority of the event types. The priority is a numerical value that indicates how
important an event type is. The higher the priority, the more important the event type. The event type with the
highest priority will determine the color of the event.
NEW QUESTION # 107
Which of the following statements describe the search below? (select all that apply) Index=main I transaction clientip host maxspan=30s maxpause=5s
- A. The first and last events are no more than 30 seconds apart.
- B. Events in the transaction occurred within 5 seconds.
- C. It groups events that share the same clientip and host.
- D. The first and last events are no more than 5 seconds apart.
Answer: A,B,C
Explanation:
Explanation
The search below groups events by two or more fields (clientip and host), creates transactions with start and end constraints (maxspan=30s and maxpause=5s), and calculates the duration of each transaction.
index=main | transaction clientip host maxspan=30s maxpause=5s
The search does the following:
It filters the events by the index main, which is a default index in Splunk that contains all data that is not sent to other indexes.
It uses the transaction command to group events into transactions based on two fields: clientip and host.
The transaction command creates new events from groups of events that share the same clientip and host values.
It specifies the start and end constraints for the transactions using the maxspan and maxpause arguments. The maxspan argument sets the maximum time span between the first and last events in a transaction. The maxpause argument sets the maximum time span between any two consecutive events in a transaction. In this case, the maxspan is 30 seconds and the maxpause is 5 seconds, meaning that any transaction that has a longer time span or pause will be split into multiple transactions.
It creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The duration field shows the time span between the first and last events in a transaction.
NEW QUESTION # 108
What is the relationship between data models and pivots?
- A. Pivots and data models have no relationship.
- B. Pivots and data models are the same thing.
- C. Pivots provide the datasets for data models.
- D. Data models provide the datasets for pivots.
Answer: D
NEW QUESTION # 109
......
To prepare for the SPLK-1002 exam, candidates can take advantage of a variety of resources provided by Splunk, including training courses, study guides, and practice exams. These resources can help candidates gain a deeper understanding of the concepts and techniques covered in the exam and build the skills needed to pass the certification. Additionally, candidates can benefit from hands-on experience using Splunk to solve real-world problems, which can help them prepare for the practical aspects of the exam.
Splunk SPLK-1002 Pre-Exam Practice Tests | PracticeTorrent: https://actual4test.practicetorrent.com/SPLK-1002-practice-exam-torrent.html