SPLK-1002 Practice Test

Explanation:
The following commands are used when creating visualizations: geom, geostats, and iplocation. Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are:
geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions.
geostats: This command is used to create cluster maps that show groups of events with different sizes and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters.
iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.

Explanation: The correct answer is C. Creates reports without using SPL. This is because the Pivot tool is a feature of Splunk that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL). You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations. You can learn more about the Pivot tool from the Splunk documentation1or watch a video tutorial2. The other options are incorrect because they do not describe the features of the Pivot tool. The Pivot tool requires data models and datasets to define the data that you want to work with. Data models and datasets are designed by the knowledge managers in your organization. You can learn more about data models and datasets from the Splunk documentation3. The Pivot tool does not create lookups, which are tables that match field values to other field values. You can create lookups using SPL or the Lookup Editor. You can learn more about lookups from the Splunk documentation.

Explanation:
The correct syntax to find events associated with a tag in Splunk istag=1. So, the correct answer isD. tag=.This syntax allows you to annotate specified fields in your search results with tags1.
In Splunk, tags are a type of knowledge object that you can use to add meaningful aliases to field values in your data1. For example, if you have a field calledstatus_codein your data, you might have different status codes like 200, 404, 500, etc. You can create tags for these status codes likesuccessfor 200,not_foundfor 404, andserver_errorfor 500.Then, you can use thetagcommand in your searches to find events associated with these tags1.
Here is an example of how you can use thetagcommand in a search:
index=main sourcetype=access_combined | tag status_code
In this search, thetagcommand annotates thestatus_codefield in the search results with the corresponding tags.If you have tagged the status code 200 withsuccess, the status code404 withnot_found, and the status code 500 withserver_error, the search results will include these tags1.
You can also use thetagcommand with a specific tag value to find events associated with that tag. For example, the following search finds all events where the status code is tagged withsuccess:
index=main sourcetype=access_combined | tag status_code | search tag::status_code=success
In this search, thetagcommand annotates thestatus_codefield with the corresponding tags, and thesearchcommand filters the results to include only events where thestatus_codefield is tagged withsuccess1.