Microsoft Azure Data Engineer Certification (DP-203) Practice Test

Question: 1 / 400

What does the term 'data wrangling' refer to?

The process of visualizing data

The process of cleaning and transforming raw data into a usable format

The term 'data wrangling' refers to the process of cleaning and transforming raw data into a usable format. This involves taking unstructured or poorly structured data and preparing it for analysis by addressing issues such as missing values, inconsistencies, and formatting errors. Data wrangling is a critical step in the data analysis workflow, as high-quality, well-prepared data is essential for generating accurate insights and making informed decisions.

In the context of data engineering, data wrangling enables analysts and engineers to derive meaningful information from the data, ensuring that subsequent analyses, visualizations, or machine learning models have a solid foundation of reliable data. The focus here is specifically on the preprocessing steps that enhance data quality and compatibility with various analysis tools and techniques.

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The creation of data warehouses

The development of machine learning algorithms

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