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MCIA-Level-1 Practice Questions

Question # 1
An organization is successfully using API led connectivity, however, as the application network grows, all the manually performed tasks to publish share and discover, register, apply policies to, and deploy an API are becoming repetitive pictures driving the organization to automate this process using efficient CI/'CD pipeline. Considering Anypoint platforms capabilities how should the organization approach automating is API lifecycle?
A. Use runtime manager rest apis for API management and mavenforAPI deployment
B. Use Maven with a custom configuration required for the API lifecycle
C. Use Anypoint CLI or Anypoint Platform REST apis with scripting language such as groovy
D. Use Exchange rest api's for API management and MavenforAPI deployment


C. Use Anypoint CLI or Anypoint Platform REST apis with scripting language such as groovy

Explanation:

To automate the API lifecycle in a CI/CD pipeline efficiently, leveraging Anypoint Platform's capabilities is crucial. Anypoint CLI (Command Line Interface) and Anypoint Platform REST APIs provide robust tools for managing various aspects of the API lifecycle, such as publishing, sharing, discovering, registering, applying policies, and deploying APIs. By using these tools with a scripting language like Groovy, you can script and automate these tasks to reduce manual intervention, ensuring consistency and efficiency.

Anypoint CLI allows you to interact with the Anypoint Platform from the command line, enabling automated deployments, management of APIs, and configuration of policies. The Anypoint Platform REST APIs provide comprehensive programmatic access to the platform’s functionalities, allowing for seamless integration into CI/CD pipelines. By combining these with a scripting language, you can create scripts that automate repetitive tasks, streamline processes, and ensure that your API lifecycle management is both efficient and reliable.

References:

MuleSoft Documentation on Anypoint CLI
MuleSoft Documentation on Anypoint Platform REST APIs


Question # 2
An organization will deploy Mule applications to Cloudhub, Business requirements mandate that all application logs be stored ONLY in an external splunk consolidated logging service and NOT in Cloudhub.

In order to most easily store Mule application logs ONLY in Splunk, how must Mule application logging be configured in Runtime Manager, and where should the log4j2 splunk appender be defined?

A. Keep the default logging configuration in RuntimeManager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manager to support at Mule application deployments.
B. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file
C. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manger to support at Mule application deployments.
D. Keep the default logging configuration in Runtime Manager
Define the Splunk appender in EACH Mule application log4j2.xml file


B. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file

Explanation:

By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. In CloudHub, you can disable the CloudHub provided Mule application log4j2 file. This allows integrating Mule application logs with custom or third-party log management systems



Question # 3
A rale limiting policy has been applied to a soap VI.2 API published in Clondhub. The API implementation catches errors in a global error handler on error propagate in the main flow for HTTP: RETRY_EXHAUSTED with HTTP status set to 429 and any with the HTTP status set to 500. What is the expected H1TP status when the client exceeds the quota of the API calls?
A. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API B. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated
B. HTTP status 401 unauthorized for policy violation
C. HTTP status 400 from the rate-limiting policy violation since the call does not reach the back-end


A. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API B. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated

Explanation:

In the given scenario, a rate limiting policy has been applied to the SOAP API and a global error handler is configured to handle HTTP:RETRY_EXHAUSTED errors with a 429 status code. The rate limiting policy will trigger when the client exceeds the allowed quota of API calls. Since the HTTP:RETRY_EXHAUSTED error specifically catches quota exhaustion errors and the error handler is configured to return a 429 status code, the expected HTTP status returned to the client when the quota is exceeded will be 429. This error code indicates that the user has sent too many requests in a given amount of time ("rate limiting").

References:

MuleSoft Documentation on Error Handling
HTTP Status Codes


Question # 4
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. 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
D. 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. 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

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


Question # 5
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 the running 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 will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
B. 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
C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
D. 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 after the Mule application is redeployed.


C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.

Explanation:

CloudHub supports updating your applications at runtime so end users of your HTTP APIs experience zero downtime. While your application update is deploying, CloudHub keeps the old version of your application running. Your domain points to the old version of your application until the newly uploaded version is fully started. This allows you to keep servicing requests from your old application while the new version of your application is starting.


Question # 6
An organization is sizing an Anypoint VPC to extend their internal network to Cloudhub. For this sizing calculation, the organization assumes 150 Mule applications will be deployed among three(3) production environments and will use Cloudhub’s default zero-downtime feature. Each Mule application is expected to be configured with two(2) Cloudhub workers.This is expected to result in several Mule application deployments per hour.
A. 10.0.0.0/21(2048 IPs)
B. 10.0.0.0/22(1024IPs)
C. 10.0.0.0/23(512 IPs)
D. 10.0.0.0/24(256 IPs)


A. 10.0.0.0/21(2048 IPs)

Explanation

* When you create an Anypoint VPC, the range of IP addresses for the network must be specified in the form of a Classless Inter-Domain Routing (CIDR) block, using CIDR notation.

* This address space is reserved for Mule workers, so it cannot overlap with any address space used in your data center if you want to peer it with your VPC.
* To calculate the proper sizing for your Anypoint VPC, you first need to understand that the number of dedicated IP addresses is not the same as the number of workers you have deployed.
* For each worker deployed to CloudHub, the following IP assignation takes place: For better fault tolerance, the VPC subnet may be divided into up to four Availability Zones.
* A few IP addresses are reserved for infrastructure. At least two IP addresses per worker to perform at zero-downtime.
* Hence in this scenario 2048 IP's are required to support the requirement.


Question # 7
What aspects of a CI/CD pipeline for Mute applications can be automated using MuleSoft-provided Maven plugins?
A. Compile, package, unit test, deploy, create associated API instances in API Manager B Import from API designer, compile, package, unit test, deploy, publish to Am/point Exchange
B. Compile, package, unit test, validate unit test coverage, deploy
C. Compile, package, unit test, deploy, integration test


C. Compile, package, unit test, deploy, integration test



Question # 8
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 the running 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 will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
B. 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
C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
D. 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 after the Mule application is redeployed.


C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.

Explanation

CloudHub supports updating your applications at runtime so end users of your HTTP APIs experience zero downtime. While your application update is deploying, CloudHub keeps the old version of your application running. Your domain points to the old version of your application until the newly uploaded version is fully started. This allows you to keep servicing requests from your old application while the new version of your application is starting.


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Exam Name: MuleSoft Certified Integration Architect - Level 1
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