Internet of Things (IoT) Practice Exam

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What type of data format is best suited for structured data?

Text files
Comma-separated values (CSV)
Graphical files
Media files

The correct answer is: Comma-separated values (CSV)

Comma-separated values (CSV) is particularly well-suited for structured data because it provides a simple and widely-accepted way of organizing data in a tabular format, where each line corresponds to a record and each field within that record is separated by a comma. This structure makes it easy to read, write, and parse the data, which is essential when dealing with structured datasets that have a consistent format, such as databases or spreadsheets. Structured data is characterized by its organization into predefined formats, such as rows and columns, making it efficient for processing and analysis. CSV files leverage this organization, allowing for straightforward data manipulation using various tools and programming languages that support data analysis. In contrast, text files do not inherently provide a structured format and rely on a consistent interpretation of the content, which can lead to ambiguities and errors. Graphical files are designed for visual representation rather than data organization, making them unsuitable for structured data purposes. Similarly, media files focus on audio, video, or other formats that are not intended for storing comprehensible rows or columns of data. Thus, CSV stands out as the optimal choice for handling structured data.