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Salesforce MuleSoft MuleSoft-Platform-Architect-I Salesforce Study Notes

Salesforce Certified MuleSoft Platform Architect 1 Exam (SU24) Questions and Answers

Question 21

An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?

Options:

A.

Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type

B.

Use a spike control policy that limits the number of requests for each client application type

C.

Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type

D.

Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

Question 22

An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

Options:

A.

The API producer should be requested to run the old version in parallel with the new one

B.

The API producer should be contacted to understand the change to existing functionality

C.

The API client code only needs to be changed if it needs to take advantage of the new features

D.

The API clients need to update the code on their side and need to do full regression

Question 23

What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?

Options:

A.

Redis distributed cache

B.

java.util.WeakHashMap

C.

Persistent Object Store

D.

File-based storage

Question 24

What is typically NOT a function of the APIs created within the framework called API-led connectivity?

Options:

A.

They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.

B.

They allow for innovation at the user Interface level by consuming the underlying assets without being aware of how data Is being extracted from backend systems.

C.

They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.

D.

They can compose data from various sources and combine them with orchestration logic to create higher level value.