Free MuleSoft MCIA-Level-1 Practice Exam with Questions & Answers | Set: 5

In a distributed application architecture, a service mesh typically manages communication between services within the application. A service mesh provides a dedicated infrastructure layer that handles service-to-service communication, including service discovery, load balancing, failure recovery, metrics, and monitoring. This allows developers to offload these operational concerns from individual services, ensuring consistent and reliable inter-service communication.

References:

• Understanding Service Mesh
• Service Mesh for Microservices

In a typical REST request, the order of interaction is:

• API Client: The client initiates the request to access data or functionality exposed by the API.
• API Interface: This represents the contract or the definition of the API, often specified in OpenAPI or RAML. It defines the endpoints, request/response formats, and other API details.
• API Implementation: This is the actual backend logic that processes the request and returns the response. It interacts with databases, other services, or performs business logic to fulfill the request.

References:

• Understanding REST APIs
• API Design and Implementation

Explanation

* Mule Domain Project is ONLY available for customer-hosted Mule runtimes, but not for Anypoint Runtime Fabric

* Mule domain project is available for Hybrid and Private Cloud (PCE). Rest all provide application isolation and can't support domain project.

What is Mule Domain Project?

* A Mule Domain Project is implemented to configure the resources that are shared among different projects. These resources can be used by all the projects associated with this domain. Mule applications can be associated with only one domain, but a domain can be associated with multiple projects. Shared resources allow multiple development teams to work in parallel using the same set of reusable connectors. Defining these connectors as shared resources at the domain level allows the team to: - Expose multiple services within the domain through the same port. - Share the connection to persistent storage. - Share services between apps through a well-defined interface. - Ensure consistency between apps upon any changes because the configuration is only set in one place.

* Use domains Project to share the same host and port among multiple projects. You can declare the http connector within a domain project and associate the domain project with other projects. Doing this also allows to control thread settings, keystore configurations, time outs for all the requests made within multiple applications. You may think that one can also achieve this by duplicating the http connector configuration across all the applications. But, doing this may pose a nightmare if you have to make a change and redeploy all the applications.

* If you use connector configuration in the domain and let all the applications use the new domain instead of a default domain, you will maintain only one copy of the http connector configuration. Any changes will require only the domain to the redeployed instead of all the applications.

You can start using domains in only three steps:

1) Create a Mule Domain project

2) Create the global connector configurations which needs to be shared across the applications inside the Mule Domain project

3) Modify the value of domain in mule-deploy.properties file of the applications

Graphical user interface Description automatically generated

Explanation

Correct Answer: XSD In this approach to developing a web service, you begin with an XML schema (XSD file) that defines XML data structures to be used as parameters and return types in the web service operations.

----------------------------------------------------------------------------------------------------------------- Reference: https://www.w3schools.com/xml/schema_intro.asp

Explanation

Correct answer is It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required. CloudHub has a specific log retention policy, as described in the documentation: the platform stores logs of up to 100 MB per app & per worker or for up to 30 days, whichever limit is hit first. Once this limit has been reached, the oldest log information is deleted in chunks and is irretrievably lost. The recommended approach is to persist your logs to a external logging system of your choice (such as Splunk, for instance) using a log appender. Please note that this solution results in the logs no longer being stored on our platform, so any support cases you lodge will require for you to provide the appropriate logs for review and case resolution

A design-first approach in API development focuses on creating a detailed API specification before any implementation begins. This specification acts as a contract that defines the API's endpoints, request/response formats, and error codes. By developing this specification early, potential consumers can provide feedback, and testing can be conducted against mock implementations to ensure the API meets their needs. This approach helps identify issues early in the development process, improving the likelihood of successful implementation and adoption.

References:

• API Design Best Practices
• Design-First API Development

REST (Representational State Transfer) is an architectural style for designing networked applications. It supports multiple content types, including XML and JSON, making it suitable for APIs that need to handle requests from clients in both formats. RESTful APIs use standard HTTP methods (GET, POST, PUT, DELETE) and are designed to be stateless and scalable. REST's flexibility and wide adoption make it an appropriate choice for the integration architect’s requirements.

References:

• REST API Design
• Understanding RESTful API Design

AnTo resolve performance issues with the Master Look Up API, the following methods can be applied:

• Implement the HTTP caching policy for all GET endpoints for the Master Look Up API: This caching policy helps reduce the number of database queries by storing frequently accessed data in cache, thus improving response times for subsequent requests.
• Upgrade the vCore size from 0.1 vCore to 0.2 vCore: Increasing the vCore size can provide more computational resources, which can improve the processing power and overall performance of the API, particularly under high load conditions.

References:

• HTTP Caching Policy
• Scaling and Performance

swer: A

The most performant way to handle intermittent network issues with vendor applications and ensure successful transaction reprocessing is to use a combination of the Scatter-Gather scope and the Until-Successful scope. Here’s how it works:

• Scatter-Gather Scope: This scope allows you to send requests to multiple endpoints (in this case, the two vendor applications) simultaneously. This ensures that both vendors are queried at the same time, reducing overall processing time.
• Until-Successful Scope: This scope is used to implement a retry mechanism. By wrapping each route to the vendor applications with an Until-Successful scope, the flow can automatically retry the request if a timeout error occurs. This scope retries the request until it succeeds or until a specified number of retries is reached.

Implementation Steps:

• Configure a Scatter-Gather scope in your Mule application.
• Inside each route of the Scatter-Gather scope, place an Until-Successful scope.
• Configure the Until-Successful scope with appropriate retry policies, such as retry count and delay between retries.
• Inside the Until-Successful scope, configure the HTTP request to the vendor application.

This approach ensures that:

• Both vendor applications are queried in parallel.
• Each request is retried upon timeout errors, ensuring eventual success without manual intervention.

References:

• MuleSoft Documentation: Scatter-Gather
• MuleSoft Documentation: Until-Successful Scope

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.