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Splunk SPLK-1002 Practice Test - Questions Answers, Page 16

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Question 151

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Data models are composed of one or more of which of the following datasets? (select all that apply)

Transaction datasets
Transaction datasets
Events datasets
Events datasets
Search datasets
Search datasets
Any child of event, transaction, and search datasets
Any child of event, transaction, and search datasets
Suggested answer: A, B, C

Explanation:

Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.

https://docs.splunk.com/Splexicon:Datamodeldataset

asked 23/09/2024
Barbara Bailey
42 questions

Question 152

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Which of the following searches will return events containing a tag named Privileged?

tag=Priv
tag=Priv
tag=Priv*
tag=Priv*
tag=priv*
tag=priv*
tag=privileged
tag=privileged
Suggested answer: B

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.

asked 23/09/2024
shaoyu huang
28 questions

Question 153

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What does the fillnull command replace null values with, if the value argument is not specified?

0
0
N/A
N/A
NaN
NaN
NULL
NULL
Suggested answer: A

Explanation:

The fillnull command replaces null values with 0 by default, if the value argument is not specified. You can use the value argument to specify a different value to replace null values with, such as N/A or NULL.

asked 23/09/2024
Roman Roman
35 questions

Question 154

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How is a Search Workflow Action configured to run at the same time range as the original search?

Set the earliest time to match the original search.
Set the earliest time to match the original search.
Select the same time range from the time-range picker.
Select the same time range from the time-range picker.
Select the 'Use the same time range as the search that created the field listing' checkbox.
Select the 'Use the same time range as the search that created the field listing' checkbox.
Select the 'Overwrite time range with the original search' checkbox.
Select the 'Overwrite time range with the original search' checkbox.
Suggested 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.

asked 23/09/2024
matthew kim
40 questions

Question 155

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What is the Splunk Common Information Model (CIM)?

The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.
The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.
The CIM provides a methodology to normalize data from different sources and source types.
The CIM provides a methodology to normalize data from different sources and source types.
The CIM defines an ecosystem of apps that can be fully supported by Splunk.
The CIM defines an ecosystem of apps that can be fully supported by Splunk.
The CIM is a data exchange initiative between software vendors.
The CIM is a data exchange initiative between software vendors.
Suggested answer: B

Explanation:

The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.

asked 23/09/2024
Sérgio Filipe Soares
43 questions

Question 156

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Which statement is true?

Pivot is used for creating datasets.
Pivot is used for creating datasets.
Data models are randomly structured datasets.
Data models are randomly structured datasets.
Pivot is used for creating reports and dashboards.
Pivot is used for creating reports and dashboards.
In most cases, each Splunk user will create their own data model.
In most cases, each Splunk user will create their own data model.
Suggested answer: C

Explanation:

The statement that pivot is used for creating reports and dashboards is true. Pivot is a graphical interface that allows you to create tables, charts, and visualizations from data models. Data models are structured datasets that define how data is organized and categorized. Pivot does not create datasets, but uses existing ones.

asked 23/09/2024
PEDRO ARIAS
35 questions

Question 157

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What is the correct format for naming a macro with multiple arguments?

monthly_sales(argument 1, argument 2, argument 3)
monthly_sales(argument 1, argument 2, argument 3)
monthly_sales(3)
monthly_sales(3)
monthly_sales[3]
monthly_sales[3]
monthly_sales[argument 1, argument 2, argument 3)
monthly_sales[argument 1, argument 2, argument 3)
Suggested answer: C

Explanation:

The correct format for naming a macro with multiple arguments is monthly_sales3. The square brackets indicate that the macro has arguments, and the number indicates how many arguments it has. The arguments are separated by commas when calling the macro, such as monthly_sales[region,salesperson,date].

asked 23/09/2024
FL Ferdous Attaie
36 questions

Question 158

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Which of the following searches show a valid use of a macro? (Choose all that apply.)

index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time newField
index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time newField
index=main source=mySource oldField=* | ''newField('makeMyField(oldField)')'' | table _time newField
index=main source=mySource oldField=* | ''newField('makeMyField(oldField)')'' | table _time newField
Suggested answer: A, C

Explanation:

The searches A and C show a valid use of a macro. A macro is a reusable piece of SPL code that can be called by using single quotes (''). A macro can take arguments, which are passed inside parentheses after the macro name. For example, 'makeMyField(oldField)' calls a macro named makeMyField with an argument oldField. The searches B and D are not valid because they use double quotes ('''') instead of single quotes ('').

asked 23/09/2024
Dang Xuan Bao
41 questions

Question 159

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Which of the following statements describes the use of the Field Extractor (FX)?

The Field Extractor automatically extracts all fields at search time.
The Field Extractor automatically extracts all fields at search time.
The Field Extractor uses PERL to extract fields from the raw events.
The Field Extractor uses PERL to extract fields from the raw events.
Fields extracted using the Field Extractor persist as knowledge objects.
Fields extracted using the Field Extractor persist as knowledge objects.
Fields extracted using the Field Extractor do not persist and must be defined for each search.
Fields extracted using the Field Extractor do not persist and must be defined for each search.
Suggested answer: C

Explanation:

The statement that fields extracted using the Field Extractor persist as knowledge objects is true. The Field Extractor (FX) is a graphical tool that allows you to extract fields from raw events using regular expressions or delimiters. The fields extracted by the FX are saved as knowledge objects that can be used in future searches or shared with other users.

asked 23/09/2024
Razan Althubaiti
42 questions

Question 160

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Which of the following eval command functions is valid?

int()
int()
count()
count()
print()
print()
tostring()
tostring()
Suggested answer: D

Explanation:

https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonEvalFunctions

The eval command function tostring() is valid. The tostring() function converts a numeric value to a string value. For example, tostring(3.14) returns ''3.14''. The other functions are not valid eval command functions.

asked 23/09/2024
Fadi Iraqi
37 questions
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