CompTIA DA0-001 Exam With Confidence Using Practice Dumps

Explanation

The correct answer is B: Data blending.

Data blending is combining multiple data sources to create a single, new dataset, which can be presented visually in a dashboard or other visualization and can then be processed or analyzed. Enterprises get their data from a variety of sources, and users may want to temporarily bring together different datasets to compare data relationships or answer a specific question. Data append is incorrect. Data append is a process that involves adding new data elements to an existing database. An example of a common data append would be the enhancement of a company's customer files. A data append takes the information they have, matches it against a larger database of business data, allowing the desired missing data fields to be added. Normalize data is incorrect.

Data normalization is the process of structuring your relational customer database, following a series of normal forms. This improves the accuracy and integrity of your data while ensuring that your database is easier to navigate. Data merge is incorrect. Data merging is the process of combining two or more data sets into a single data set.

Concatenation is primarily used to combine columns of data. It is a function commonly used in data manipulation to merge strings or numerical values from two or more columns into a single column. This is especially useful in data cleaning and transformation tasks where information from multiple fields needs to be represented together in a single field, such as merging first names and last names into a full name.