What type of data is typically classified as unstructured?

Unstructured data is characterized by its lack of a predefined model or organization. It does not fit neatly into tables or relational databases, which makes it more complex to analyze. Text documents and multimedia formats, such as videos, images, and audio files, represent unstructured data because they do not conform to a specific structure or format. For instance, text documents may contain free-form text that varies in length and content, while multimedia files come in various formats that require different methods for storage and retrieval.

In contrast, spreadsheets and databases, as stated in one of the options, typically represent structured data due to their organized format, where information is stored in rows and columns. Inventory levels and sales figures also align with structured data, as they involve numerical values and are often captured in a defined format suitable for analysis. Log files and system records are generally semi-structured; they may have some organization, such as timestamps, but their content can still vary significantly.

Thus, the classification of text documents and multimedia as unstructured data is appropriate because they require different handling and analysis techniques to extract insights compared to structured data types.