Splunk Core Certified Power User SPLK-1002 Exam Practice Test

Answer : C, D

The regular expression mode of Field Extractor (FX) should be used for data with multiple, different characters separating fields or for unstructured dat

a. The regular expression mode allows you to select a sample event and highlight the fields that you want to extract, and the field extractor generates a regular expression that matches similar events and extracts the fields from them. Reference SeeBuild field extractions with the field extractor - Splunk DocumentationandField Extractor: Select Method step - Splunk Documentation.

Answer : B

The correct answer is B. Transforming.

The explanation is as follows:

The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.

A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.

Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.

Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.

Answer : B, D

The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are:

Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called ''alert'' for the field name ''status'' and the field value ''critical''. This means that only events that have status=critical will have the ''alert'' tag applied to them.

Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called ''web'' for the search string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the ''web'' tag applied to them.

The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called ''alert'' for the field name ''status'' and the field value ''critical'', it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called ''web'' for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.

Answer : C

An event type is a way to categorize events based on a search string that matches the events2.You can use event types to simplify your searches by replacing long or complex search strings with short and simple event type names2.An event type is more effective than a saved search when the search string needs to be used in future searches because it allows you to reuse the search string without having to remember or type it again2. Therefore, option C is correct, while options A, B and D are incorrect because they are not scenarios where an event type is more effective than a saved search.

Answer : A

Arguments are defined within the macro search string by using dollar signs on either side of the argument name, such as arg1 or fragment.

Reference

Search macro examples

Define search macros in Settings

Use search macros in searches

Answer : A

Answer : C

The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression2.The FX allows you to create field extractions that persist as knowledge objects, which are entities that you create to add knowledge to your data and make it easier to search and analyze2.Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2.When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time2.You can also manage and share your field extractions with other users in your organization2. Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.