Which are valid parts of an analysis view definition?

An analysis view in an analysis context typically consists of dimensions that help to structure the data for analysis. The correct answer indicating that a row dimension and a column dimension are valid parts of an analysis view definition highlights the fundamental components necessary to create a coherent framework for presenting data.

When analyzing data, defining how the data is organized—in rows and columns—is vital. The row dimension represents the category of data you want to evaluate, while the column dimension provides the metrics or measures that you're comparing against those categories. This two-dimensional layout is instrumental for users to visualize trends, relationships, and patterns in the data effectively.

In contrast, options including multiple column dimensions or additional components such as rule sets might imply a more complex structure than what is typically necessary for a fundamental analysis view. While multiple column dimensions may be used in some advanced settings for intricate analyses, the basic structure relies on a single row and a single column dimension to deliver straightforward and effective insights. Thus, the essence of defining an analysis view is captured best by the simplicity of having a single row dimension and a single column dimension.