When using CloudHub with the Shared Load Balancer, what is managed EXCLUSIVELY by the API implementation (the Mule application) and NOT by Anypoint Platform?

• A.The logging configuration that enables log entries to be visible in Runtime Manager
• B.The SSL certificates used by the API implementation to expose HTTPS endpoints
• C.The assignment of each HTTP request to a particular CloudHub worker
• D.The number of DNS entries allocated to the API implementation

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How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?

• A.By refining the resource definitions by adding a description of the rate limiting policy behavior
• B.By refining the request definitions by adding a remaining Requests query parameter with description, type, and example
• C.By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
• D.By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example

Correct Answer: D

Correct answer: By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
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References:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers

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What is a key performance indicator (KPI) that measures the success of a typical C4E that is immediately apparent in responses from the Anypoint Platform APIs?

• A.The number of production outage incidents reported in the last 24 hours
• B.The number of API implementations that have a publicly accessible HTTP endpoint and are being managed by Anypoint Platform
• C.The fraction of API implementations deployed manually relative to those deployed using a CI/CD tool
• D.The number of API specifications in RAML or OAS format published to Anypoint Exchange

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Refer to the exhibit.

What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level

B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs

C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)

D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

• A.Option A
• B.Option B
• C.Option C
• D.Option D

Correct Answer: B

Correct answer: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.
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>> All customizations for the end-user application should be handled in "Experience API" only. Not in Process API
>> We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.
>> Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.
So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.

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What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

• A.When it Is required to make ALL applications highly available across multiple data centers
• B.When it is required that ALL APIs are private and NOT exposed to the public cloud
• C.When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data
• D.When ALL backend systems in the application network are deployed in the organization's intranet

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