Alteryx Foundation Micro-Credential Practice Exam

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Which of the following describes a characteristic of semi-structured data?

It has no identifiable structure at all
It includes some organizational properties but not a strict format
It is stored in fixed schemas
It consists solely of numeric values

The correct answer is: It includes some organizational properties but not a strict format

Semi-structured data is characterized by having some organizational properties while lacking a strict format. This type of data can be more flexible than structured data, which adheres to predefined schemas, but it still contains tags or markers to separate different elements and enforce hierarchies. Common examples of semi-structured data include JSON, XML, and certain types of log files. This flexibility allows semi-structured data to offer a balance between the rigor of structured formats and the looser nature of unstructured data. The presence of organizational properties, such as key-value pairs or tags, helps maintain some order, which makes it easier to analyze compared to unstructured data, which does not have a discernible structure. In contrast, other descriptions of data types do not align with the characteristics of semi-structured data. For example, options suggesting no identifiable structure, fixed schemas, or exclusively numeric values do not accurately convey the flexibility inherent to semi-structured formats.