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Salesforce Certified MuleSoft Platform Architect Sample Questions:

1. An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

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

2. A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

A) Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
B) Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C) Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
D) Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

3. What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?

A) They must use a Jurisdiction-local external messaging system such as Active MQ rather than Anypoint MQ
B) They must ensure ALL data is encrypted both in transit and at rest
C) They must te deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction
D) They must avoid using the Object Store as it depends on services deployed ONLY to the US East region

4. 4A developer for a transportation organization is implementing exactly one processing functionality in a Reservation Mule application to process and store passenger records. This Reservation application will be deployed to multiple CloudHub workers/replicas. It is possible that several external systems could send duplicate passenger records to the Reservation application.
An appropriate storage mechanism must be selected to help the Reservation application process each passenger record exactly once as much as possible. The selected storage mechanism must be shared by all the CloudHub workers/replicas in order to synchronize the state information to assist attempting exactly once processing of each passenger record by the deployed Reservation Mule application.
Which type of simple storage mechanism in Anypoint Platform allows the Reservation Mule application to update and share data between the CloudHub workers/replicas exactly once, with minimal development effort?

A) Persistent Object Store
B) Non-persistent Object Store
C) In-memory Mule Object Store
D) Runtime Fabric Object Store

5. An enterprise is embarking on the API-led digital transformation journey, and the central IT team has started to define System APIs. Currently there is no Enterprise Data Model being defined within the enterprise, and the definition of a clean Bounded Context Data Model requires too much effort.
According to MuleSoft's recommended guidelines, how should the System API data model be defined?

A) If there are misspellings of the data fields in the back-end system, Systerm APIs should not correct it, and expose it as-is to mirror the back-end systems
B) The System APIs should expose all back-end system fields
C) The data model should define its own naming convention, and not follow the same naming as the back-end systems
D) The data model of the System APIs should make use of data types that approximately mirror those from the back-end systems

Solutions: