Authentic SPLK-1002 Dumps With 100% Passing Rate Practice Tests Dumps [Q117-Q137]

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]

The Splunk Common Information Model (CIM) is a collection of data models that apply a common structure and naming convention to data from any source. A data model is a type of knowledge object that defines the structure and relationships of fields in a dataset. A data model can have one or more datasets, which are subsets of the data model that represent different aspects of the data. For example, the Network Traffic data model has datasets such as All Traffic, DNS, HTTP, etc. The CIM contains 28 pre-configured data models that cover various domains such as authentication, network traffic, web, email, etc. The CIM is implemented as an add-on that contains the JSON files for the data models, documentation, and tools that support the consistent, normalized treatment of data for maximum efficiency at search time23
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, Overview of the Splunk Common Information Model 1. 3: Splunkbase, Splunk Common Information Model (CIM) 2.

Reference:https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview The Common Information Model (CIM) is a methodology for normalizing data from different sources and making it easier to analyze and report on it3. The CIM defines a common set of fields and tags for various domains such as Alerts, Email, Database, Network Traffic, Web and more3. One of the statements that describe the CIM is that it is a methodology for normalizing data, which means that it provides a standard way to name and structure data from different sources so that they can be compared and correlated3.
Therefore, option A is correct. Another statement that describes the CIM is that it can correlate data from different sources, which means that it enables you to run searches and reports across data from different sources that share common fields and tags3. Therefore, option B is correct. Another statement that describes the CIM is that the Knowledge Manager uses the CIM tocreate knowledge objects, which means that the person who is responsible for creating and managing knowledge objects such as data models, field aliases, tags and event types can use the CIM as a guide to make their knowledge objects consistent and compatible with other apps and add-ons3. Therefore, option C is correct. Option D is incorrect because it does not describe the CIM but rather one of its components.

Explanation
The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.

Explanation
The fields sidebar is a panel that shows the fields that are present in your search results2. The fields sidebar has two sections: selected fields and interesting fields2. Selected fields are fields that you choose to display in your search results by clicking on them in the fields sidebar or by using the fields command2. Interesting fields are fields that appear in at least 20 percent of events or have high variability among values2. For each field in the fields sidebar, you can select one of the following options: events with this field, rare values, top values by time or top values2. If you select rare values, Splunk will automatically pipe your search results to the rare command, which shows the least common values of a field2. Therefore, option B is correct, while options A, C and D are incorrect because they do not pipe your search results to the rare command.

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

Explanation/Reference:

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

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.

The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.

Explanation
The correct syntax to find events associated with a tag is A. tag:<field>=<value>.
A tag is a way to add descriptive keywords to events based on field values. Tags can be used to filter and group events by common characteristics, such as source type, host, severity, or category1.
To search for events that have a specific tag, you need to use the tag field with the name of the field and the value of the tag as the arguments. The syntax for this is:
tag:<field>=<value>
For example, if you want to search for events that have the tag “error” for the status field, you can use the following syntax:
tag:status=error
This will return only the events that have the status field value tagged as “error”.
The other options are not correct because they use different syntax or fields that are not related to tags. These options are:
B: tags=<value>: This option uses the tags field, which is a multivalue field that contains all the tags associated with an event. However, this field is not searchable by default and requires additional configuration to enable it1.
C: tags:<field>=<value>: This option uses the tags field with a colon instead of an equal sign, which is not valid syntax for searching with fields.
D: tag=<value>: This option uses the tag field without specifying the name of the field, which is not valid syntax for searching with tags.
References:
About tags
Search with tags

Reference: https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3. The CIM add-on includes several data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, options A, B and C are correct because they are names of some of the data models included in the CIM add-on. Option D is incorrect because User permissions is not a name of a data model in the CIM add-on.

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

Reference:
A workflow action is a link that appears when you click an event field value in your search results2. A workflow action can open a web page or run another search based on the field value2. There are two types of workflow actions: GET and POST2. A GET workflow action appends the field value to the end of a URI and opens it in a web browser2. A POST workflow action sends the field value as part of an HTTP request to a web server2. When creating a Search workflow action, which is a type of GET workflow action that runs another search based on the field value, the only required field is the search string2. The search string defines the search that will be run when the workflow action is clicked2. Therefore, option A is correct, while options B, C and D are incorrect because they are not required fields for creating a Search workflow action.

Explanation
GET workflow actions are custom actions that open a URL link when you click on a field value in your search results. GET workflow actions can be configured with various options, such as label name, base URL, URI parameters, app context, etc. One of the options is to choose whether to open the URL link in the current window or in a new window. GET workflow actions do not have to be configured with POST arguments, as they use GET method to send requests to web servers. Configuration of GET workflow actions does not include choosing a sourcetype, as they do not generate any data in Splunk. Label names for GET workflow actions must include a field name surrounded by dollar signs, as this indicates the field value that will be used to replace the variable in the URL link.

Reference:https://docs.splunk.com/Documentation/SplunkLight/7.3.5/GettingStarted/Designdatamodelobjects
A root event dataset is the base dataset for a data model that defines the source or sources of the data and the
constraints and fields that apply to the data1. A root event dataset has two parts: constraints and
fields1. Constraints are filters that limit the data to a specific index, source, sourcetype, host or search
string1. Fields are the attributes that describe the data and can be extracted, calculated or looked up1.
Therefore, option C is correct, while options A, B and D are incorrect.

Explanation
A chart is a graphical representation of your search results that shows the relationship between two or more fields2. You can display a chart in stack mode by changing the Stack Mode option in the Format menu2. Stack mode allows you to stack multiple series on top of each other in a chart to show the cumulative values of each series2. Therefore, option C is correct, while options A, B and D are incorrect because they are not ways to display a chart in stack mode.