Get SPLK-1002 Actual Free Exam Q&As to Prepare for Your Splunk Certification [Q75-Q100]

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Get SPLK-1002 Actual Free Exam Q&As to Prepare for Your Splunk Certification

Splunk Actual Free Exam Questions And Answers

NEW QUESTION # 75
Which of the following statements describes Search workflow actions?

  • A. Search workflow actions cannot be configured with a search string that includes the transaction command
  • B. The user can define the time range of the search when created the workflow action.
  • C. By default. Search workflow actions will run as a real-time search.
  • D. Search workflow actions can be configured as scheduled searches,

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 # 76
It is mandatory for the lookup file to have this for an automatic lookup to work.

  • A. Source type
  • B. Input filed
  • C. Timestamp
  • D. At least five columns

Answer: B


NEW QUESTION # 77
Which syntax is used to represent an argument in a macro definition?

  • A. %argument%
  • B. "argument"
  • C. 'argument'
  • D. $argument$

Answer: D

Explanation:
The correct answer is D.
A search macro is a way to reuse a piece of SPL code in different searches. A search macro can take arguments, which are variables that can be replaced by different values when the macro is called. A search macro can also contain another search macro within it, which is called a nested macro1.
To represent an argument in a macro definition, you need to use the dollar sign ($) character to enclose the argument name. For example, if you want to create a search macro that takes one argument named "object", you can use the following syntax:
[my_macro(object)] search sourcetype= object
This will create a search macro named my_macro that takes one argument named object. When you call the macro in a search, you need to provide a value for the object argument, such as:
my_macro(web)
This will replace the object argument with the value web and run the following SPL code:
search sourcetype=web
The other options are not correct because they use quotation marks (' or ") or percentage signs (%) to represent arguments, which are not valid syntax for macro arguments. These characters will be interpreted as literal values instead of variables.
Reference:
Use search macros in searches


NEW QUESTION # 78
Which of the following are valid options with the chart command ?(select all that apply)

  • A. usenull=f
  • B. split=t
  • C. useother=f
  • D. transcation=t

Answer: A,C


NEW QUESTION # 79
Complete the search, .... | _____ failure>successes

  • A. Search
  • B. If
  • C. Where
  • D. Any of the above

Answer: C

Explanation:
The where command can be used to complete the search below.
... | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteria.
The where command can use any boolean expression or function to evaluate each event and determine whether to keep it or discard it. The where command can also compare fields or perform calculations on fields using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command that creates a table or a chart.
The search string below does the following:
* It uses ... to represent any search criteria or commands before the where command.
* It uses the where command to filter events based on a comparison between two fields: failure and successes.
* It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
* It only keeps events where failure is greater than successes.


NEW QUESTION # 80
Which of the following statements describe the Common Information Model (CIM)? (select all that apply)

  • A. The Knowledge Manager uses the CIM to create knowledge objects.
  • B. CIM is a methodology for normalizing data.
  • C. CIM can correlate data from different sources.
  • D. CIM is an app that can coexist with other apps on a single Splunk deployment.

Answer: A,B,C

Explanation:
Reference: https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview


NEW QUESTION # 81
What does the transaction command do?

  • A. Returns the number of credit card transactions found in the event logs.
  • B. Separates two events based on one or more values.
  • C. Groups a set of transactions based on time.
  • D. Creates a single event from a group of events.

Answer: D

Explanation:
The transaction command is a search command that creates a single event from a group of events that share some common characteristics. The transaction command can group events based on fields, time, or both. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command does not group a set of transactions based on time, but rather groups a set of events into a transaction based on time. The transaction command does not separate two events based on one or more values, but rather joins multiple events based on one or more values.
The transaction command does not return the number of credit card transactions found in the event logs, but rather creates transactions from the events that match the search criteria.


NEW QUESTION # 82
How are event types different from saved reports?

  • A. Event types include formatting of the search results.
  • B. Event types cannot be used to organize data into categories.
  • C. Event types do not include a time range.
  • D. Event types can be shared with Splunk users and added to dashboards.

Answer: C

Explanation:
Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.
The correct answer isD. Event types do not include a time range.
The explanation is as follows:
Event types are a categorization system that help you make sense of your data by matching events with
the same search string1.Event types are applied to events at search time and can be used as search terms
or filters12.
Saved reports are results savedfrom a search action that can show statistics and visualizations of
events3.Saved reports can be run anytime, and they fetch fresh results each time they are run34.Saved
reports can be shared with other users and added to dashboards4.
The main difference between event types and saved reports is that event types do not include a time
range, while saved reports do14.This means that event types can match events from any time period,
while saved reports are limited by the time range specified when they are created or run14.


NEW QUESTION # 83
What does the transaction command do?

  • A. Returns the number of credit card transactions found in the event logs.
  • B. Separates two events based on one or more values.
  • C. Groups a set of transactions based on time.
  • D. Creates a single event from a group of events.

Answer: D

Explanation:
Explanation
The transaction command is a search command that creates a single event from a group of events that share some common characteristics. The transaction command can group events based on fields, time, or both. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command does not group a set of transactions based on time, but rather groups a set of events into a transaction based on time. The transaction command does not separate two events based on one or more values, but rather joins multiple events based on one or more values.
The transaction command does not return the number of credit card transactions found in the event logs, but rather creates transactions from the events that match the search criteria.


NEW QUESTION # 84
If there are fields in the data with values that are " " or empty but not null, which of the following would add a
value?

  • A. | eval notNULL = "" fillnull value=0 notNULL
  • B. | eval notNULL = "" | nullfill value=0 notNULL
  • C. | eval notNULL = if(isnull (notNULL), "0"
  • D. | eval notNULL = if(isnull (notNULL), "0" notNULL)

Answer: A

Explanation:
The correct answer is D. | eval notNULL = "" fillnull value=0 notNULL
Option A is incorrect because it is missing a comma between the "0" and the notNULL in the if
function. The correct syntax for the if function is if (condition, true_value, false_value).
Option B is incorrect because it is missing the false_value argument in the if function. The correct
syntax for the if function is if (condition, true_value, false_value).
Option C is incorrect because it uses the nullfill command, which only replaces null values, not empty
strings. The nullfill command is equivalent to fillnull value=null.
Option D is correct because it uses the eval command to assign an empty string to the notNULL field,
and then uses the fillnull command to replace the empty string with a zero. The fillnull command can
replace any value with a specified replacement, not just null values.


NEW QUESTION # 85
A field alias has been created based on an original field. A search without any transforming commands is then
executed in Smart Mode. Which field name appears in the results?

  • A. The original field only appears in All Fields list and the alias only appears in the Interesting Fields list.
  • B. Both will appear in the All Fields list, but only if the alias is specified in the search.
  • C. The alias only appears in the All Fields list and the original field only appears in the Interesting Fields list.
  • D. Both will appear in the Interesting Fields list, but only if they appear in at least 20 percent of events.

Answer: D

Explanation:
A field alias is a way to assign an alternative name to an existing field without changing the original field
name or value2. You can use field aliases to make your field names more consistent or descriptive across
different sources or sourcetypes2. When you run a search without any transforming commands in Smart Mode,
Splunk automatically identifies and displays interesting fields in your results2. Interesting fields are fields that
appear in at least 20 percent of events or have high variability among values2. If you have created a field alias
based on an original field, both the original field name and the alias name will appear in the Interesting Fields
list if they meet these criteria2. However, only one of them will appear in each event depending on which one
you have specified in your search string2. Therefore, option B is correct, while options A, C and D are
incorrect.


NEW QUESTION # 86
When using | timechart by host, which field is represented in the x-axis?

  • A. _time
  • B. time
  • C. host
  • D. date

Answer: B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart


NEW QUESTION # 87
There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?

  • A. Fields sidebar > Extract New Field
  • B. Event Actions > Extract Fields
  • C. Settings > Field Extractions > Open Field Extraction
  • D. Settings > Field Extractions > New Field Extraction

Answer: A

Explanation:
There are several ways to access the field extractor. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you extract fields from your data using delimiters or regular expressions. The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor can be accessed by using various methods, such as:
Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields sidebar is a panel that shows all available fields for your data and their values. When you click on Extract New Field in the fields sidebar, Splunk will automatically identify the data type, source type, and sample event for your data based on your current search criteria. You can then use the field extractor to select sample values and generate a regex for your new field.
Event Actions > Extract Fields: This is another way to access the field extractor. Event actions are actions that you can perform on individual events in your search results, such as viewing event details, adding to report, adding to dashboard, etc. When you click on Extract Fields in the event actions menu, Splunk will use the current event as the sample event for your data and ask you to select the source type and data type for your data. You can then use the field extractor to select sample values and generate a regex for your new field.
Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field extractor. Settings is a menu that allows you to configure various aspects of Splunk, such as indexes, inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu, Splunk will ask you to enter all the details for your new field extraction manually, such as app context, name, source type, data type, sample event, regex, etc. You can then use the field extractor to verify or modify your regex for your new field.


NEW QUESTION # 88
What do events in a transaction have In common?

  • A. All events in a transaction must be related by one or more fields.
  • B. All events in a transaction must have the exact same set of fields.
  • C. All events in a transaction must have the same sourcetype.
  • D. All events In a transaction must have the same timestamp.

Answer: A

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Abouttransactions A transaction is a group of events that share some common characteristics, such as fields, time, or both. A transaction can be created by using the transaction command or by defining an event type with transactiontype=true in props.conf. Events in a transaction have one or more fields in common that relate them to each other. For example, you can create a transaction based on JSESSIONID, which is a unique identifier for each user session in web logs. Events in a transaction do not have to have the same timestamp, sourcetype, or exact same set of fields. They only have to share one or more fields that define the transaction.


NEW QUESTION # 89
Which syntax will find events where the values for the 1 field match the values for the Renewal-MonthYear field?
| where 10yearAnnerversary=Renewal-MonthYear
| where '10yearAnnerversary=Renewal-MonthYear
| where 10yearAnnerversary='Renewal-MonthYear'
| where '10yearAnnerversary'='Renewal-MonthYear'

  • A. | where 10yearAnnerversary=Renewal-MonthYear.

Answer: A

Explanation:
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 10yearAnnerversary field match the values for the Renewal-MonthYear field, you can use the following syntax:
| where 10yearAnnerversary=Renewal-MonthYear
This will return only the events where the two fields have the same value.
The other options are not correct because they use quotation marks around the field names, which will cause the where command to interpret them as string values instead of field names. For example, if you use:
| where '10yearAnnerversary'='Renewal-MonthYear'
This will return no events because there are no events where the string value '10yearAnnerversary' is equal to the string value 'Renewal-MonthYear'.
Explanation:
The correct answer is
Reference:
where command usage


NEW QUESTION # 90
Which of the following can be saved as an event type?

  • A. index-server_472 sourcetype-BETA_494 code-488 I stats count by code
  • B. index=server_472 sourcetype=BETA_494 code=488 I stats where code > 200
  • C. index=server_472 sourcetype=BETA_494 code=488 [I inputlookup append=t servercode.csv]
  • D. index=server_472 sourcetype=BETA_494 code-488

Answer: D

Explanation:
Event types in Splunk are saved searches that categorize data, making it easier to search for specific patterns or criteria within your data. When saving an event type, the search must essentially filter events based on criteria without performing operations that transform or aggregate the data. Here's a breakdown of the options:
A: The search index-server_472 sourcetype-BETA_494 code-488 | stats count by code performs an aggregation operation (stats count by code), which makes it unsuitable for saving as an event type. Event types are meant to categorize data without aggregating or transforming it.
B: The search index=server_472 sourcetype=BETA_494 code=488 [ | inputlookup append=t servercode.csv] includes a subsearch and input lookup, which is typically used to enrich or filter events based on external data. This complexity goes beyond simple event categorization.
C: The search index=server_472 sourcetype=BETA_494 code=488 | stats where code > 200 includes a filtering condition within a transforming command (stats), which again, is not suitable for defining an event type due to the transformation of data.
D: The search index=server_472 sourcetype=BETA_494 code-488 is the correct answer as it purely filters events based on index, sourcetype, and a code field condition without transforming or aggregating the data.
This is what makes it suitable for saving as an event type, as it categorizes data based on specific criteria without altering the event structure or content.


NEW QUESTION # 91
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 be added if they already exist in the dataset with constraints.
  • B. Auto-Extracted fields can be given a friendly name for use in Pivot.
  • C. Auto-Extracted fields can have their data type changed.
  • D. Auto-Extracted fields can be hidden in Pivot.

Answer: A,B,C,D


NEW QUESTION # 92
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?

  • A. Convert_sales ($euro, $E$,S,79$)
  • B. Convert_sales (euro, E, .79)
  • C. Convert_sales ($euro,$E$,s79$
  • D. Convert_sales (euro, E, 79)"

Answer: B

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


NEW QUESTION # 93
Which of the following statements about tags is true?

  • A. Tags are case insensitive.
  • B. Tags can make your data more understandable.
  • C. Tags are created at index time.
  • D. Tags are searched by using the syntax tag :: <fieldname>.

Answer: B

Explanation:
Tags are a knowledge object that allow you to assign an alias to one or more field values . Tags are
applied to events at search time and can be used as search terms or filters .
Tags can help you make your data more understandable by replacing cryptic or complex field values
with meaningful names . For example, you can tag the value 200 in the status field as success, or tag the
value 404 as not_found .


NEW QUESTION # 94
Which of the following statements is true, especially in largo environments?

  • A. The scats command is faster and more efficient than the transaction command
  • 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. Use the scats command when you next to group events by two or more fields.

Answer: C


NEW QUESTION # 95
Which of the following statements describe data model acceleration? (select all that apply)

  • A. You must have administrative permissions or the accelerate_dacamodel capability to accelerate a data model.
  • B. Private data models cannot be accelerated.
  • C. Root events cannot be accelerated.
  • D. Accelerated data models cannot be edited.

Answer: A,B,D

Explanation:
Explanation
Data model acceleration is a feature that speeds up searches on data models by creating and storing summaries of the data model datasets1. To enable data model acceleration, you must have administrative permissions or the accelerate_datamodel capability1. Therefore, option D is correct. Accelerated data models cannot be edited unless you disable the acceleration first1. Therefore, option B is correct. Private data models cannot be accelerated because they are not visible to other users1. Therefore, option C is correct. Root events can be accelerated as long as they are not based on a search string1. Therefore, option A is incorrect.


NEW QUESTION # 96
Which of the following is the correct way to use the data model command to search field in the data model
within the web dataset?

  • A. | datamodel web search | filed web *
  • B. | datamodel web web field | search web*
  • C. Datamodel=web | search web | filed web*
  • D. | Search datamodel web web | filed web*

Answer: A

Explanation:
The data model command allows you to run searches on data models that have been accelerated1. The syntax
for using the data model command is | datamodel <model_name> <dataset_name> [search <search_string>]1.
Therefore, option A is the correct way to use the data model command to search fields in the data model
within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model
command. Option D is incorrect because it does not use the data model command at all.


NEW QUESTION # 97
Which search would limit an "alert" tag to the "host" field?

  • A. tag==alert
  • B. host::tag::alert
  • C. tag=alert
  • D. tag::host=alert

Answer: D

Explanation:
The search below would limit an "alert" tag to the "host" field.
tag::host=alert
The search does the following:
It uses tag syntax to filter events by tags. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data.
It specifies tag::host=alert as the tag filter. This means that it will only return events that have an "alert" tag applied to their host field or host field value.
It uses an equal sign (=) to indicate an exact match between the tag and the field or field value.


NEW QUESTION # 98
Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables

The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?

  • A. Five
  • B. Eight
  • C. Zero
  • D. Three

Answer: B

Explanation:
When performing an outer join in Splunk using the | join employeeNumber type=outer command, it combines the rows from both tables based on the employeeNumber field. An outer join returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
In the provided tables, there are five rows in the first table and three in the second. Since it's an outer join, all rows from both tables will be returned. This means the new table will have a total of eight rows, combining the matched rows and the unmatched rows from both tables.
References:
* Splunk Documentation on the join command.
* Splunk Community discussions on the usage of join and types of joins.


NEW QUESTION # 99
A user wants to convert numeric field values to strings and also to sort on those values.
Which command should be used first, theevalor thesort?

  • A. You cannot use the sort command and the eval command on the same field.
  • B. Use sort first, then convert the numeric to a string with eval.
  • C. It doesn't matter whether eval or sort is used first.
  • D. Convert the numeric to a string with eval first, then sort.

Answer: B

Explanation:
The eval command is used to create new fields or modify existing fields based on an expression2. The sort
command is used to sort the results by one or more fields in ascending or descending order2. If you want to
convert numeric field values to strings and also sort on those values, you should use the sort command first,
then use the eval command to convert the values to strings2. This way, the sort command will use the original
numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore,
option C is correct, while options A, B and D are incorrect.


NEW QUESTION # 100
......

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