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The MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 exam certification is an internationally recognized certification that helps to have validation for those professionals who are keen to make their career in MuleSoft design, build, test and debug, deploy, and manage basic APIs and integrations.

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MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q240-Q245):

NEW QUESTION # 240
An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to custom hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the Integra functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?

• A. Create a Mule domain project that maintains the credentials as Mule domain-shared resources Deploy the Mule applications to the Mule domain, so the credentials are available to the Mule applications
• B. Store the credentials in properties files in a shared folder within the organization's data center Have the Mule applications load properties files from this shared location at startup
• C. Configure or create a credentials service that returns the credentials for each backend system, and that is accessible from customer-hosted and MuleSoft-hosted Mule runtimes Have the Mule applications toad the properties at startup by invoking that credentials service
• D. Segregate the credentials for each backend system into environment-specific properties files Package these properties files in each Mule application, from where they are loaded at startup

Answer: D

Explanation:
* "Create a Mule domain project that maintains the credentials as Mule domain-shared resources" is wrong as domain project is not supported in Cloudhub * We should Avoid Creating duplicates in each Mule application but below two options cause duplication of credentials - Store the credentials in properties files in a shared folder within the organization's data center. Have the Mule applications load properties files from this shared location at startup - Segregate the credentials for each backend system into environment-specific properties files. Package these properties files in each Mule application, from where they are loaded at startup So these are also wrong choices * Credentials service is the best approach in this scenario. Mule domain projects are not supported on CloudHub. Also its is not recommended to have multiple copies of configuration values as this makes difficult to maintain Use the Mule Credentials Vault to encrypt data in a .properties file. (In the context of this document, we refer to the .properties file simply as the properties file.) The properties file in Mule stores data as key-value pairs which may contain information such as usernames, first and last names, and credit card numbers. A Mule application may access this data as it processes messages, for example, to acquire login credentials for an external Web service. However, though this sensitive, private data must be stored in a properties file for Mule to access, it must also be protected against unauthorized - and potentially malicious - use by anyone with access to the Mule application

NEW QUESTION # 241
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. 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
• B. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
• 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: A

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 # 242
A mule application is deployed to a Single Cloudhub worker and the public URL appears in Runtime Manager as the APP URL.
Requests are sent by external web clients over the public internet to the mule application App url. Each of these requests routed to the HTTPS Listener event source of therunning Mule application.
Later, the DevOps team edits some properties of this running Mule application in Runtime Manager.
Immediately after the new property values are applied in runtime manager, how is the current Mule application deployment affected and how will future web client requests to the Mule application be handled?

• A. Cloudhub will redeploy the mule application to the OLD Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker BOTH before and afterthe Mule application is redeployed.
• B. Cloudhub will redeploy the Mule application to the OLD Cloudhub worker New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
• C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New webclient requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
• D. CloudHub will redeploy the Mule application to a NEW Cloudhub worker New web client requests will RETURN AN ERROR until the NEW Cloudhub worker is available

Answer: C

NEW QUESTION # 243
An API has been updated in Anypoint Exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the API's public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

• A. The API client code ONLY needs to be changed if it needs to take advantage of new features.
• B. The API producer should be contacted to understand the change to existing functionality.
• C. The API producer should be requested to run the old version in parallel with the new one.
• D. The update should be identified as a project risk and full regression testing of the functionality that uses this API should be run.

Answer: A

Explanation:
* Semantic Versioning is a 3-component number in the format of X.Y.Z, where :
X stands for a major version.
Y stands for a minor version:
Z stands for a patch.
So, SemVer is of the form Major.Minor.Patch Coming to our question , minor version of the API has been changed which is backward compatible. Hence there is no change required on API client end. If they want to make use of new featured that have been added as a part of minor version change they may need to change code at their end. Hence correct answer is The API client code ONLY needs to be changed if it needs to take advantage of new features.

NEW QUESTION # 244
An insurance company is using a CIoudHub runtime plane. As a part of requirement, email alert should be sent to internal operations team every time of policy applied to an API instance is deleted As an integration architect suggest on how this requirement be met?

• A. Use audit logs in Anypoint platform to detect a policy deletion and configure the Audit logs alert feature to send an email to the operations team
• B. Create a custom connector to be triggered every time of policy is deleted in API manager
• C. Use Anypoint monitoring to configure an alert that sends an email to the operations team every time a policy is deleted in API manager
• D. Implement a new application that uses the Audit log REST API to

Answer: D

Explanation:
detect the policy deletion and send an email to operations team the SMTP connector

NEW QUESTION # 245
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