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Salesforce Certified MuleSoft Platform Architect Sample Questions:

1. A company deployed an API to a single worker/replica in the shared cloud in the U.S. West Region.
What happens when the Availability Zone experiences an outage?

A) CloudHub will auto-redeploy the API in another Availability Zone in the U.S. West Region
B) CloudHub will auto-redeploy the APL in the U.S. East Region
C) The APT will be unavailable until the availability comes back online, at which time the worker/replica will be auto-restarted
D) The Anypoint Platform admin is alerted when the AP] is experiencing an outage and needs the trigger the CI/CD pipeline to redeploy to the US. East Region

2. Mule applications that implement a number of REST APIs are deployed to their own subnet that is inaccessible from outside the organization.
External business-partners need to access these APIs, which are only allowed to be invoked from a separate subnet dedicated to partners - called Partner-subnet. This subnet is accessible from the public internet, which allows these external partners to reach it.
Anypoint Platform and Mule runtimes are already deployed in Partner-subnet. These Mule runtimes can already access the APIs.
What is the most resource-efficient solution to comply with these requirements, while having the least impact on other applications that are currently using the APIs?

A) Redeploy the API implementations to the same servers running the Mule runtimes
B) Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes
C) Add an additional endpoint to each API for partner-enablement consumption
D) Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes

3. Which three tools automate the deployment of Mule applications?
Choose 3 answers

A) Platform APIs
B) Runtime Manager
C) API Community Manager
D) Mule Mayen plugin
E) Anypoint Platform CLI
F) Anypoint Studio

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

5. An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?

A) Start an organization-wide data modeling initiative that will result in an Enterprise Data Model that will then be used in both the Product API and the Order API
B) Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data model
C) Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order API
D) Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product API

Solutions: