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Salesforce Certified MuleSoft Platform Architect Sample Questions:
1. The Line of Business (LoB) of an eCommerce company is requesting a process that sends automated notifications via email every time a new order is processed through the customer's mobile application or through the internal company's web application. In the future, multiple notification channels may be added: for example, text messages and push notifications.
What is the most effective API-led connectivity approach for the scenario described above?
A) Create Experience APIs for both the web application and mobile application.
Create a Process API ta orchestrate, retrieve the email template from e database, and send the email using the Anypoint Connector for Email.
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B) Create Experience APIs for both the web application and mobile application.
(Create 3 Process API to orchestrate and retrieve the email template from 2 databese.
Create a System API that sends the email using the Anypoint Connector for Email.
C) Create one Experience API for the web application and one for the mobile application, Create a Process API to orchestrate, retrieve the email template from a database, and send the email using the Anypoint Connector for Email.
D) Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email.
Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email.
2. What is a best practice when building System APIs?
A) Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
B) Document the API using an easily consumable asset like a RAML definition
C) Expose to API clients all technical details of the API implementation's interaction wifch the backend system
D) Model all API resources and methods to closely mimic the operations of the backend system
3. A company wants to move its Mule API implementations into production as quickly as possible. To protect access to all Mule application data and metadata, the company requires that all Mule applications be deployed to the company's customer-hosted infrastructure within the corporate firewall. What combination of runtime plane and control plane options meets these project lifecycle goals?
A) Manually provisioned customer-hosted runtime plane and customer-hosted control plane
B) iPaaS provisioned customer-hosted runtime plane and MuleSoft-hosted control plane
C) MuleSoft-hosted runtime plane and customer-hosted control plane
D) Manually provisioned customer-hosted runtime plane and MuleSoft-hosted control plane
4. The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?
A) Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged
B) Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
C) Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation
D) Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition
5. 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 number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
B) Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C) Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
D) Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |








