The where command can be used to complete the search below.
... | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteri a. The where command can use any boolean expression or function to evaluate each event and determine whether to keep it or discard it. The where command can also compare fields or perform calculations on fields using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command that creates a table or a chart.
The search string below does the following:
It uses ... to represent any search criteria or commands before the where command.
It uses the where command to filter events based on a comparison between two fields: failure and successes.
It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
It only keeps events where failure is greater than successes.

To search for a tag on a specific field, Splunk requires the syntax tag::<field>=<tagname>.
Extract: "To search for a tag associated with a field, use tag::<field>=<tagname>." Thus, tag::host=prod is correct.

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

The fillnull command in Splunk is used to handle missing data within search results. It plays a crucial role in data normalization and preparation, especially before performing statistical analyses or visualizations.
A: Replace empty values with a specified value: This is the correct answer. The fillnull command is specifically designed to replace null values (empty values) with a specified default value. This is particularly useful in ensuring consistency within your data, especially when performing operations that require numerical values or when you want to distinguish between genuinely missing data and zeroes, for instance.
* Example Usage: ... | fillnull value=0 This command would replace all null values in the search results with 0.

The correct answer is A. Field alias123.
In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3. This can be particularly useful when you want to normalize your data to comply with the Splunk Common Information Model (CIM)12.
The CIM provides a methodology for normalizing values to a common field name1. It acts as a search-time schema to define relationships in the event data while leaving the raw machine data intact2. By using field aliases, you can map vendor fields to common fields that are the same for each data source in a given domain4. This allows you to correlate events from different source types by normalizing these different occurrences to a common structure and naming convention1.