What file types can be imported using Celigo's data loader?

What file types can be imported using Celigo's data loader?

• A. CSV, JSON, XLSX, XML
• B. TXT, HTML, DOCX, CSV
• C. XML, PDF, JSON, XLSX
• D. CSV, HTML, DOC, TXT

Answer: (A)

The correct choice includes file types that are commonly used for data import tasks, making them compatible with Celigo's data loader. CSV (Comma-Separated Values) is widely recognized for its simplicity and is prevalent for structured data import. JSON (JavaScript Object Notation) is often used for data interchange and is increasingly popular due to its lightweight format. XLSX, the file format for Excel spreadsheets, supports complex data structures and is another format that can be efficiently imported. Lastly, XML (eXtensible Markup Language) is a flexible way to store and transport data, making it suitable for this purpose as well. The other options include file types that may not be as compatible with data import workflows in Celigo’s data loader. For instance, HTML is primarily designed for web pages, while DOCX and PDF formats focus more on documents rather than structured data. This makes them less suitable for efficient data import tasks. Therefore, the selection of CSV, JSON, XLSX, and XML represents the ideal combination of formats that are compatible with the requirements of data loading in the Celigo environment.

The correct choice includes file types that are commonly used for data import tasks, making them compatible with Celigo's data loader. CSV (Comma-Separated Values) is widely recognized for its simplicity and is prevalent for structured data import. JSON (JavaScript Object Notation) is often used for data interchange and is increasingly popular due to its lightweight format. XLSX, the file format for Excel spreadsheets, supports complex data structures and is another format that can be efficiently imported. Lastly, XML (eXtensible Markup Language) is a flexible way to store and transport data, making it suitable for this purpose as well.

The other options include file types that may not be as compatible with data import workflows in Celigo’s data loader. For instance, HTML is primarily designed for web pages, while DOCX and PDF formats focus more on documents rather than structured data. This makes them less suitable for efficient data import tasks. Therefore, the selection of CSV, JSON, XLSX, and XML represents the ideal combination of formats that are compatible with the requirements of data loading in the Celigo environment.