What are "unstructured data" types that Watson can analyze?

The correct answer highlights the diverse types of unstructured data that IBM Watson can analyze, which includes text, audio, video, and images. Unstructured data refers to information that does not have a pre-defined data model or organization, making it more complex to analyze than structured data.

IBM Watson is specifically designed to process and derive insights from this variety of unstructured data. For example, it can analyze natural language text to understand context and sentiment, transcribe spoken words in audio files, recognize objects and scenes in images and videos, and much more. This capability enables organizations to extract valuable information from sources such as social media, multimedia content, and conversational data that traditional structured data analysis might miss.

The other options incorrectly limit the scope of unstructured data types Watson is capable of analyzing or refer solely to structured data formats that are more straightforward and have defined parameters. Thus, C truly represents the breadth of Watson's analytical capabilities with unstructured data.