What process is used to automatically transfer data from a database to a spreadsheet?

Prepare for the SACA Certified Industry 4.0 Associate IV - IIoT, Networking and Data Analytics (C-104) Exam. Use flashcards and multiple-choice questions with detailed explanations to boost your understanding. Get ready to succeed!

The process of automatically transferring data from a database to a spreadsheet is accurately described by export and import functionalities. This method involves extracting data from the database in a structured format, such as CSV or Excel, and then importing it into the spreadsheet. This automated process enables users to keep their spreadsheet updated with the latest data without the need for manual entry or repeated copying and pasting.

Utilizing export and import ensures that large volumes of data can be handled efficiently, reducing errors that might occur with manual processes. It also enhances productivity by allowing users to schedule regular updates, making it a favored choice in many data management scenarios.

Other options, while related to data handling, do not specifically address the automatic transfer from a database to a spreadsheet. Data mining refers to the process of discovering patterns and extracting valuable information from large datasets but does not involve the import of data into a spreadsheet format. API integration involves connecting different software applications to allow them to communicate and share data, but it typically requires more complex setup and programming, rather than a straightforward transfer process. Manual entry, on the other hand, is a labor-intensive method often leads to errors and inefficiencies, making it less suitable for transferring data automatically.

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