What is data called that does not fit within the context of the use case? 1 point Irrelevant data  Relevant data Duplicate data  Missing data

The data that does not fit within the context of the use case is referred to as irrelevant data. This type of data does not contribute to the objectives of the analysis or application in question. It can lead to confusion, reduced accuracy in outputs, and can obscure valuable insights by overwhelming users or algorithms with non-essential information.

Understanding the difference between relevant and irrelevant data is crucial in data management and analysis. Relevant data supports decision-making and contributes meaningful insights to a specific context. In contrast, irrelevant data can dilute the focus and efficiency of processes, making it essential to filter out noise to enhance the quality of analysis.