The Field Extractor Utility (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 has a button that displays events that do not contain extracted fields, which is the Non-Matches button2. The Non-Matches button shows you the events that do not match the regular expression that you have defined for your field extraction2. This way, you can check if your field extraction is accurate and complete2. Therefore, option B is correct, while options A, C and D are incorrect because they are not buttons that display events that do not contain extracted fields.

To use a search macro in a search string, you need to place a back tick character (`) before and after the macro name1. You also need to use the same number of arguments as defined in the macro2. The macro weekly sales (2) has two arguments: Price and AmountSold. Therefore, you need to provide two values for these arguments when you call the macro.
The option A is incorrect because it uses parentheses instead of back ticks around the macro name. The option B is incorrect because it uses underscores instead of spaces in the macro name. The option D is incorrect because it uses spaces instead of commas to separate the argument values.

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.