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MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q84-Q89):

NEW QUESTION # 84
Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

A. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
B. Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
C. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
D. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation

Answer: B

Explanation:
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.
* Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.
* Scaled down performance tests cant be relied upon as performance of API's is not linear against load.

NEW QUESTION # 85
A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What Is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?

A. Use Anypoint Design Center to implement the Mule applications and APIs and give the various stakeholders access to these Design Center projects, so they can collaborate and provide feedback
B. Capture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio's Export Documentation feature to provide an HTML version of this documentation to the stakeholders
C. Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth
D. Use Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they can be discovered

Answer: A

NEW QUESTION # 86
A customer wants to use the mapped diagnostic context (MDC) and logging variables to enrich its logging and improve tracking by providing more context in the logs.
The customer also wants to improve the throughput and lower the latency of message processing.
As an Mulesoft integration architect can you advise, what should the customer implement to meet these requirements?

A. Useasync logger at the level equal to DEBUG orTRACEand use pattern
layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables
B. Use synchronous logging at the INFO DEBUG or Trace level and use pattern layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables
C. Useasync logger at the level greater than INFO and use pattern layout with [%MDC] in the log4j2,xml configuration file and then configure the logging variables
D. Use synchronous logging and use pattern layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables

Answer: C

NEW QUESTION # 87
Refer to the exhibit.

A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?

A. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers
B. Each request is routed (scattered) to ALL three CloudHub workers at the same time
C. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)
D. Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ)

Answer: A

Explanation:
Correct behavior is Each request is routed to ONE ARBITRARY CloudHub worker out of ALL three CloudHub workers

NEW QUESTION # 88
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

A. Guaranteed consistency of execution environments across all deployments of a Mule application
B. Required change to the URL endpoints used by clients to send requests to the Mule applications
C. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition
D. Required redesign of Mule applications to follow microservice architecture principles

Answer: D

Explanation:
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice

NEW QUESTION # 89
......

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