[Q23-Q40] Updated Aug-2024 Exam Engine or PDF for the Splunk SPLK-1002 test to help you quickly prepare for the Splunk exam!

Explanation
During the validation step of the Field Extractor workflow, you can remove values that aren’t a match for the field you want to define2. The validation step allows you to review and edit the values that have been extracted by the FX and make sure they are correct and consistent2. You can remove values that aren’t a match by clicking on them and selecting Remove Value from the menu2. This will exclude them from your field extraction and update the regular expression accordingly2. Therefore, option A is correct, while options B and C are incorrect because they are not actions that you can perform during the validation step of the Field Extractor workflow.

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.

The correct answer isA. The maxspan option is not included1.
In Splunk, thetransactioncommand is used to group events that share common characteristics into a single
transaction1.By default, thetransactioncommand groups all matching events into a single transaction1.
However, you can use themaxspanoption to limit the time span of the transactions1.If the time span between
the first and last event in a transaction exceeds themaxspanvalue, thetransactioncommand will start a new
transaction1.
Therefore, if themaxspanoption is not included in the search, thetransactioncommand might produce multiple
transactions instead of one if the time span between the first and last event in a transaction exceeds the
defaultmaxspanvalue1.
Here is an example of how you can use themaxspanoption in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h
In this search, thetransactioncommand groups events that share the samesomeuniqefieldvalue into a single
transaction, but only if the time span between the first and last event in the transaction does not exceed 1
hour1.If the time span exceeds 1 hour, thetransactioncommand will start a new transaction1.

Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart

Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot

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

The correct command to show the total bytes for each unique combination of page and server is index=web | stats sum (bytes) BY page server. In Splunk, the stats command is used to calculate aggregate statistics over the dataset, such as count, sum, avg, etc. When using the BY clause, it groups the results by the specified fields. The correct syntax does not include commas or the word ‘AND’ between the field names. Instead, it simply lists the field names separated by spaces within the BY clause.
References:The usage of the stats command with the BY clause is confirmed by examples in the Splunk Community, where it’s explained that stats with a by foo bar will output one row for every unique combination of the by fields1.

Reference:
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 to create 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.

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.

The rex command allows you to extract fields from events using regular expressions. You can use the rex command to specify a named group that matches the port number in the event. For example:
rex “\+\+\+\+port (?<port>\d+)”
This will create a field called port with the value 54 for the event.
The delimiter method is not suitable for this event because there is no consistent delimiter between the fields.
The regular expression method is not a valid option for the Field Extractor tool. The Field Extractor tool can extract regular expressions, but it is not a method by itself.
Reference: 1 Splunk Core Certified Power User | Splunk

Reference:
https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand

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.

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.