MuleSoft MCIA-Level-1-Maintenance Practice Exam Dumps 2025

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MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Questions and Answers

Question 1

A leading e-commerce giant will use Mulesoft API's on runtime fabric (RTF) to process customer orders. Some customer's sensitive information such as credit card information is also there as a part of a API payload.

What approach minimizes the risk of matching sensitive data to the original and can convert back to the original value whenever and wherever required?

Options:

Apply masking to hide the sensitive information and then use API

manager to detokenize the masking format to return the original value

create a tokenization format and apply a tokenization policy to the API Gateway

Used both masking and tokenization

Apply a field level encryption policy in the API Gateway

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Question 2

A company is planning to extend its Mule APIs to the Europe region. Currently all new applications are deployed to Cloudhub in the US region following this naming convention

{API name}-{environment}. for example, Orders-SAPI-dev, Orders-SAPI-prod etc.

Considering there is no network restriction to block communications between API's, what strategy should be implemented in order to apply the same new API's running in the EU region of CloudHub as well to minimize latency between API's and target users and systems in Europe?

Options:

Set region property to Europe (eu-de) in API manager for all the mule application

No need to change the naming convention

Set region property to Europe (eu-de) in API manager for all the mule application

Change the naming convention to {API name}-{environment}-{region} and communicate this change to the consuming applications and users

Set region property to Europe (eu-de) in runtime manager for all the mule application

No need to change the naming convention

Set region property to Europe (eu-de) in runtime manager for all the mule application

Change the naming convention to {API name}-{environment}-{region} and communicate this change to the consuming applications and users

Question 3

Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?

Options:

The cluster can be configured

Use third party product to implement load balancer

High availability can be achieved only in CloudHub

Use persistent object store

Answer:

Explanation:

Explanation

High availability is about up-time of your application

A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as well

B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.

Reference: [Reference: https://docs.mulesoft.com/mule-runtime/4.3/mule-object-stores, C) High availability can be achieved by below two models for on-premise MuleSoft implementations., 1) Mule Clustering – Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications. A cluster can run multiple applications. ( refer left half of the diagram), In given scenario, it's mentioned that 'data cannot be shared among of different instances'. So this is not a correct choice., Reference: https://docs.mulesoft.com/runtime-manager/cluster-about, 2) Load balanced standalone Mule instances – The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram), Graphical user interface, diagram, application Description automatically generated, ]

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MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Questions and Answers

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