What type of data can be processed using DataRaptors in Vlocity Integration Procedures?

Study for the Vlocity Platform Developer Test. Use flashcards and multiple-choice questions with hints and explanations for preparation. Get ready to succeed in your exam!

Multiple Choice

What type of data can be processed using DataRaptors in Vlocity Integration Procedures?

Explanation:
DataRaptors in Vlocity Integration Procedures are specifically designed to handle data in various structured formats, primarily focusing on JSON. This format is widely used for data interchange on the web, offering a lightweight method for storing and exchanging information. When you utilize DataRaptors, you are often working with data retrieved from various sources, including Salesforce objects, APIs, or external systems, and JSON serves as an efficient means to represent this data. The other options — text files, binary data, and graphical data — do not align with the primary function of DataRaptors. While you can certainly store text in the form of JSON, text files as a standalone format typically require different processing methods not directly associated with DataRaptors. Binary data, which includes files like images or executable files, is not something that the DataRaptor is configured to process effectively, as it is designed more for structured data representation. Graphical data, which pertains to visual elements or graphics, also falls outside the scope of what DataRaptors are intended to handle. Thus, JSON stands out as the relevant format when discussing the capabilities of DataRaptors within Vlocity Integration Procedures.

DataRaptors in Vlocity Integration Procedures are specifically designed to handle data in various structured formats, primarily focusing on JSON. This format is widely used for data interchange on the web, offering a lightweight method for storing and exchanging information. When you utilize DataRaptors, you are often working with data retrieved from various sources, including Salesforce objects, APIs, or external systems, and JSON serves as an efficient means to represent this data.

The other options — text files, binary data, and graphical data — do not align with the primary function of DataRaptors. While you can certainly store text in the form of JSON, text files as a standalone format typically require different processing methods not directly associated with DataRaptors. Binary data, which includes files like images or executable files, is not something that the DataRaptor is configured to process effectively, as it is designed more for structured data representation. Graphical data, which pertains to visual elements or graphics, also falls outside the scope of what DataRaptors are intended to handle. Thus, JSON stands out as the relevant format when discussing the capabilities of DataRaptors within Vlocity Integration Procedures.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy