Free Access MuleSoft.MCPA-Level-1.v2022-01-20.q78 Practice Test (Page 10)

Question 41

Refer to the exhibit.

what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?

A.The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes

B.Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure

C.API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane

D.Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications

Question 42

What do the API invocation metrics provided by Anypoint Platform provide?

A.ROI metrics from APIs that can be directly shared with business users

B.Measurements of the effectiveness of the application network based on the level of reuse

C.Data on past API invocations to help identify anomalies and usage patterns across various APIs

D.Proactive identification of likely future policy violations that exceed a given threat threshold

Question 43

An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

A.Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

B.Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

C.Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers

D.Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models

Question 44

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

Question 45

What condition requires using a CloudHub Dedicated Load Balancer?

A.When custom DNS names are required for API implementations deployed to customer-hosted Mule runtimes

B.When server-side load-balanced TLS mutual authentication is required between API implementations and API clients

C.When API invocations across multiple CloudHub workers must be load balanced

D.When cross-region load balancing is required between separate deployments of the same Mule application

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