When multiple event types with different color values are assigned to the same event, what
determines the color displayed for the events?
C
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.
Which of the following statements describes the command below (select all that apply)
Sourcetype=access_combined | transaction JSESSIONID
B, C, D
Explanation:
The command sourcetype=access_combined | transaction JSESSIONID does three things:
It filters the events by the sourcetype access_combined, which is a predefined sourcetype for Apache
web server logs.
It groups the events by the field JSESSIONID, which is a unique identifier for each user session.
It creates a single event from each group of events that share the same JSESSIONID value. This single
event will have some additional fields created by the transaction command, such
as duration, eventcount, and startime.
Therefore, the statements B, C, and D are true.
Which of the following can be used with the eval command tostring function (select all that apply)
A, B, D
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/ConversionFunctions#tostri
ng.28X.2CY.29
The tostring function in the eval command converts a numeric value to a string value. It can take an
optional second argument that specifies the format of the string value. Some of the possible formats
are:
hex: converts the numeric value to a hexadecimal string.
commas: adds commas to separate thousands in the numeric value.
duration: converts the numeric value to a human-readable duration string, such as “2h 3m 4s”.
Therefore, the formats A, B, and D can be used with the tostring function.
Which of the following statements about tags is true?
C
Explanation:
Tags are aliases or alternative names for field values in Splunk. They can make your data more
understandable by using common or descriptive terms instead of cryptic or technical terms. For
example, you can tag a field value such as “200” with “OK” or “success” to indicate that it is a HTTP
status code for a successful request. Tags are case sensitive, meaning that “OK” and “ok” are different
tags. Tags are created at search time, meaning that they are applied when you run a search on your
data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag
you want to search for.
Which of the following statements about data models and pivot are true? (select all that apply)
D
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.
When using the Field Extractor (FX), which of the following delimiters will work? (select all that
apply)
A, B, D
Explanation:
Reference:
https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751
The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or
regular expressions. Delimiters are characters or strings that separate fields in your data. Some of the
delimiters that will work with FX are:
Tabs: horizontal spaces that align text in columns.
Pipes: vertical bars that often indicate logical OR operations.
Spaces: blank characters that separate words or symbols.
Therefore, the delimiters A, B, and D will work with FX.
Which of the following describes the Splunk Common Information Model (CIM) add-on?
C
Explanation:
The Splunk Common Information Model (CIM) add-on is a Splunk app that contains data models to
help you normalize data from different sources and formats. The CIM add-on defines a common and
consistent way of naming and categorizing fields and events in Splunk. This makes it easier to
correlate and analyze data across different domains, such as network, security, web, etc. The CIM
add-on does not use machine learning to normalize data, but rather relies on predefined field names
and values. The CIM add-on does not contain dashboards that show how to map data, but rather
provides documentation and examples on how to use the data models. The CIM add-on is not
automatically installed in a Splunk environment, but rather needs to be downloaded and installed
from Splunkbase.
What does the transaction command do?
B
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.
Which of the following statements describe data model acceleration? (select all that apply)
B, C, D
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.
A user wants to convert numeric field values to strings and also to sort on those values.
Which command should be used first, the eval or the sort?
C
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.