An API implementation is being designed that must invoke an Order API, which is known to repeatedly experience downtime.
For this reason, a fallback API is to be called when the Order API is unavailable.
What approach to designing the invocation of the fallback API provides the best resilience?

• A.Search Anypoint Exchange for a suitable existing fallback API, and then implement invocations to this fallback API in addition to the Order API
• B.Create a separate entry for the Order API in API Manager, and then invoke this API as a fallback API if the primary Order API is unavailable
• C.Redirect client requests through an HTTP 307 Temporary Redirect status code to the fallback API whenever the Order API is unavailable
• D.Set an option in the HTTP Requester component that invokes the Order API to instead invoke a fallback API whenever an HTTP 4xx or 5xx response status code is returned from the Order API

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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?

• A.Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
• B.Use a spike control policy that limits the number of requests for each client application type
• C.Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
• D.Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

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

• 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.

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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

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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Which two statements are true about the technology architecture of an Anypoint Virtual Private Cloud (VPC)?
Choose 2 answers

• A.Ports 8081 and 8082 are used
• B.CIDR blacks are used
• C.Anypoint VPC is responsible for load balancing the applications
• D.Round-robin load balancing is used to distribute client requests across different applications
• E.By default, HTTP requests can be made from the public internet to workers at port 6091

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