What is a valid way to create a record type for only active products using the PRODUCT table?

What is a valid way to create a record type for only active products using the PRODUCT table?

• A. Create a record type without data sync and filter
• B. Create a record type with data sync enabled using PRODUCT table, and apply a source filter on IS_ACTIVE to filter out inactive products
• C. Create a record type with data sync enabled but no filters
• D. Create a separate data source for active products

Answer: (B)

Using a record type that has data sync enabled and applying a source filter on the PRODUCT table to include only rows where IS_ACTIVE indicates an active product is the right approach. Data sync connects the record type directly to the data source and keeps it up to date, while the source filter narrows the retrieved data so only active products are loaded and shown. This avoids loading inactive rows at all and makes the record type efficient and accurate for user interactions. Leaving data sync without any filter would pull in all products, including inactive ones, which isn’t desirable. Creating a separate data source for active products adds extra maintenance and doesn’t leverage filtering on the existing table, whereas the combination of data sync plus a source filter provides the clean, focused data set directly from the source.

Using a record type that has data sync enabled and applying a source filter on the PRODUCT table to include only rows where IS_ACTIVE indicates an active product is the right approach. Data sync connects the record type directly to the data source and keeps it up to date, while the source filter narrows the retrieved data so only active products are loaded and shown. This avoids loading inactive rows at all and makes the record type efficient and accurate for user interactions.

Leaving data sync without any filter would pull in all products, including inactive ones, which isn’t desirable. Creating a separate data source for active products adds extra maintenance and doesn’t leverage filtering on the existing table, whereas the combination of data sync plus a source filter provides the clean, focused data set directly from the source.