Which Appian feature helps you access enterprise data quickly, define easily leveraged relationships, and establish custom fields based on available information?

Which Appian feature helps you access enterprise data quickly, define easily leveraged relationships, and establish custom fields based on available information?

• A. Interfaces
• B. Data stores
• C. Record types with data synced enabled
• D. Custom Data Types

Answer: (C)

Access enterprise data quickly, define useful relationships, and create custom fields by using record types with data synced enabled. Data Sync brings a cached, readily queryable copy of external data into Appian, speeding up access and reducing load on the source systems. With a record type, you model how different data objects relate to each other, so you can navigate between related data and expose those relationships directly in your applications. You can also add custom fields to the record type—derived or computed attributes based on the synced data—without changing the source systems, giving you a flexible, tailored view of the information. Interfaces are about building the UI, not the underlying data relationships. Data stores define the physical data connections and schemas but don’t automatically provide the fast, cache-backed access, nor the integrated, modeled relationships across enterprise data in the same way. Custom Data Types define data shapes but don’t inherently deliver fast access or relationship modeling across enterprise sources.

Access enterprise data quickly, define useful relationships, and create custom fields by using record types with data synced enabled. Data Sync brings a cached, readily queryable copy of external data into Appian, speeding up access and reducing load on the source systems. With a record type, you model how different data objects relate to each other, so you can navigate between related data and expose those relationships directly in your applications. You can also add custom fields to the record type—derived or computed attributes based on the synced data—without changing the source systems, giving you a flexible, tailored view of the information.

Interfaces are about building the UI, not the underlying data relationships. Data stores define the physical data connections and schemas but don’t automatically provide the fast, cache-backed access, nor the integrated, modeled relationships across enterprise data in the same way. Custom Data Types define data shapes but don’t inherently deliver fast access or relationship modeling across enterprise sources.