Alteryx Foundation Micro-Credential Practice Exam

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What does text mining involve?

Sorting audio data
Extracting information from text data
Analyzing numerical datasets
Aggregating video content

The correct answer is: Extracting information from text data

Text mining specifically pertains to the process of extracting valuable information and insights from unstructured text data. This involves techniques such as natural language processing, data mining, and information retrieval to analyze the content and context of text documents, enabling users to identify patterns, trends, and relationships within the text. Given the increasing volume of data generated in text form—from social media posts to research articles—text mining is a crucial activity for organizations seeking to leverage this information for decision-making, sentiment analysis, and more. The other options are related to different types of data processing. Sorting audio data pertains to analyzing sound files, whereas analyzing numerical datasets involves working with structured data expressed in numbers. Aggregating video content focuses on processing and organizing audiovisual material. None of these activities involve the extraction or analysis of text data, which is the core function of text mining.