Splunk SPLK-1002 Practice Test - Questions Answers, Page 5

A calculated field is a field that you create based on the value of another field or fields1.You can use calculated fields to enrich your data with additional information or to transform your data into a more useful format1.Calculated fields can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters, or key-value pairs1. Therefore, option B is correct, while options A, C and D are incorrect because tags, output fields for a lookup, and fields generated from a search string are not types of extracted fields.

The correct way to execute the macro in a search string is to use the formatmacro_name($arg1$, $arg2$, ...)where$arg1$,$arg2$, etc. are the arguments for the macro. In this case, the macro name isconvert_salesand it takes three arguments:currency,symbol, andrate. The arguments are enclosed in dollar signs and separated by commas. Therefore, the correct way to execute the macro isconvert_sales($euro$, $$, .79).

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.

The commandsourcetype=access_combined | transaction JSESSIONIDdoes three things:

It filters the events by the sourcetypeaccess_combined, which is a predefined sourcetype for Apache web server logs.

It groups the events by the fieldJSESSIONID, which is a unique identifier for each user session.

It creates a single event from each group of events that share the sameJSESSIONIDvalue. This single event will have some additional fields created by the transaction command, such asduration,eventcount, andstartime.

Therefore, the statements B, C, and D are true.

https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/ConversionFunctions#tostring.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.

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 syntaxtag::<tagname>, where<tagname>is the name of the tag you want to search for.

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.

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.

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.