Salesforce MuleSoft-Platform-Architect-I Based on Real Exam Environment

Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers

Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models

The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment

The client ID and secret for the Anypoint Platform account's STAGING environment

The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment

A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret

When the API Implementation must invoke publicly exposed services that are deployed outside of CloudHub in a customer- managed AWS instance

When the API implementation must be accessible within a subnet of a restricted customer-hosted network that does not allow public access

When the API implementation must be deployed to a production AWS VPC using the Mule Maven plugin

When the API Implementation must write to a persistent Object Store

Approve the client application request for the chosen SLA tier

Request access to the appropriate API Instances deployed to multiple environments using the client application's credentials

Modify the client application to call the API using the client application's credentials

Create a new application in Anypoint Exchange for requesting access to the API