What are Configuration Attributes in cpq?

What are Configuration Attributes in cpq?

Configuration Attributes act like a vehicle or an interface that holds the values for the picklist fields created on the product options. Most often, Configuration Attributes are picklist fields. Bear in mind that they do not actually save these values in an actual record by default.

How do I create a configuration attribute in Salesforce CPQ?

Choose where your configuration attribute appears in the configurator.

1. If this configuration attribute doesn’t have a feature, it can appear above or below the bundle’s product options.
2. If this configuration attribute has a feature, it can appear above or below the product option within that feature.

What is the max number of columns you can have for configuration attributes?

conditions should be made on the deployment type and the number of users inputs. 14. What is the max number of columns you can have for Configuration Attributes? 15.

What is summary variable in Salesforce CPQ?

Summarize number field information about products into a single object called a summary variable. You can reference a summary variable in price conditions, price actions, product rule error conditions, quote term conditions, and other summary variables.

What is attribute in Salesforce?

Component attributes are like member variables on a class in Apex. They are typed fields that are set on a specific instance of a component, and can be referenced from within the component’s markup using an expression syntax. Attributes enable you to make components more dynamic.

What is summary variable?

A summary variable targets a field on an object and then performs a math function on that field. You can set a target object and leave the filter information fields blank to target all instances of that object across your quote. The Aggregate Function field sets the type of math function the summary variable performs.

How do I create a summary variable in Salesforce CPQ?

Summary Variables

1. Sum: Add all values in the aggregate field together.
2. Average: Calculate the average of all the aggregate field’s values.
3. Min: Find the lowest of all the aggregate field’s values.
4. Max: Find the highest of all the aggregate field’s values.
5. Count: Count the number of records that meet the filter criteria.