Question # 1
| Cloud Hub is an example of which cloud computing service model? | | A. Platform as a Service (PaaS) | | B. Software as a Service (SaaS) | | C. Monitoring as a Service (MaaS) | | D. Infrastructure as a Service (laaS) |
A. Platform as a Service (PaaS)
Explanation:
CloudHub, part of MuleSoft's Anypoint Platform, is an example of a Platform as a Service (PaaS) offering. PaaS provides a cloud-based platform that allows developers to build, deploy, and manage applications without dealing with the complexities of maintaining the underlying infrastructure. CloudHub provides the necessary tools and services to develop and deploy Mule applications and APIs in the cloud, offering features such as scalability, high availability, monitoring, and management. This allows developers to focus on writing code and developing applications rather than managing servers and infrastructure.
References
MuleSoft CloudHub Documentation
Overview of Cloud Computing Service Models
Question # 2
| An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deplpoyed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates.
What type of restrictions exist on the types of certificates that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet? | | A. Only MuleSoft-provided certificates are exposed. | | B. Only customer-provided wildcard certificates are exposed. | | C. Only customer-provided self-signed certificates are exposed. | | D. Only underlying Mule application certificates are exposed (pass-through) |
A. Only MuleSoft-provided certificates are exposed.
Explanation:
https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial
Question # 3
An Integration Mule application is being designed to synchronize customer data between two systems. One system is an IBM Mainframe and the other system is a Salesforce Marketing Cloud (CRM) instance. Both systems have been deployed in their typical configurations, and are to be invoked using the native protocols provided by Salesforce and IBM.
What interface technologies are the most straightforward and appropriate to use in this Mute application to interact with these systems, assuming that Anypoint Connectors exist that implement these interface technologies?
| | A. IBM: DB access CRM: gRPC | | B. IBM: REST CRM:REST | | C. IBM: Active MQ CRM: REST | | D. IBM: CICS CRM: SOAP |
D. IBM: CICS CRM: SOAP
Explanation: Explanation
Correct answer is IBM: CICS CRM: SOAP
* Within Anypoint Exchange, MuleSoft offers the IBM CICS connector. Anypoint Connector for IBM CICS Transaction Gateway (IBM CTG Connector) provides integration with back- end CICS apps using the CICS Transaction Gateway.
* Anypoint Connector for Salesforce Marketing Cloud (Marketing Cloud Connector) enables you to connect to the Marketing Cloud API web services (now known as the Marketing Cloud API), which is also known as the Salesforce Marketing Cloud. This connector exposes convenient operations via SOAP for exploiting the capabilities of Salesforce Marketing Cloud.
Question # 4
| An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications. The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations. What out-of-the-box Anypoint Platform policy can address exposure to this threat? | | A. Apply a Header injection and removal policy that detects the malicious data before it is used | | B. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors | | C. Shut out bad actors by using HTTPS mutual authentication for all API invocations | | D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors |
D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Explanation: Explanation
We need to note few things about the scenario which will help us in reaching the correct solution.
Point 1 : The APIs are all publicly available and are associated with several mobile applications and web applications. This means Apply an IP blacklist policy is not viable option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from mobile application
Point 2 : The organization does NOT want to use any authentication or compliance policies for these APIs. This means we can not apply HTTPS mutual authentication scheme.
Header injection or removal will not help the purpose.
By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object, the malicious code inflicts its damages. An inordinate increase in the size and depth of the JSON payload can indicate injection. Applying the JSON threat protection policy can limit the size of your JSON payload and thwart recursive additions to the JSON hierarchy.
Hence correct answer is Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Question # 5
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for
load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best
support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?
| | A. Check the Persistent VM queues checkbox in the application deployment configuration | | B. Check the Non-persistent VM queues checkbox in the application deployment configuration | | C. In the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes | | D. In the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector |
A. Check the Persistent VM queues checkbox in the application deployment configuration
Explanation:
Requirements:
Persistent VM Queues:
MuleSoft Best Practices:
Configuration in Runtime Manager:
References:
MuleSoft Documentation on VM Queues: VM Queues
MuleSoft Best Practices: MuleSoft Best Practices
CloudHub Deployment Guide: CloudHub Deployment
Question # 6
A company is using Mulesoft to develop API's and deploy them to Cloudhub and on premises targets. Recently it has decided to enable Runtime Fabric deployment option as well and infrastructure is set up for this option.
What can be used to deploy Runtime Fabric?
| | A. AnypointCLI | | B. Anypoint platform REST API's | | C. Directly uploading ajar file from the Runtime manager | | D. Mule maven plug-in |
A. AnypointCLI
Explanation:
When deploying to Runtime Fabric, there are several tools available within the Anypoint Platform ecosystem that facilitate the deployment process. These include:
AnypointCLI: This command-line interface tool provides comprehensive
capabilities for deploying applications to Runtime Fabric. Using AnypointCLI, you can script and automate deployments, which is useful for integrating into CI/CD pipelines.
Anypoint Platform REST APIs: These APIs allow for programmatic deployment and management of applications on Runtime Fabric. They provide flexibility for integrating deployment processes with other systems and tools.
Mule Maven Plugin: This plugin can be used within a Maven project to package and deploy Mule applications to Runtime Fabric as part of a build process.
However, directly uploading a JAR file from the Runtime Manager is not a supported method for deploying to Runtime Fabric.
Question # 7
| An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing
What is the most performant way of implementing this requirement? | A. Implement a scatter-gather scope to invoke the two vendor
applications on two different route
Use the Until-Successful scope to implement the retry mechanism
for timeout errors on each route
| B. Implement a Choice scope to invoke the two vendor applications on two different route
Use the try-catch scope to implement the retry mechanism for timeout errors on each route
| C. Implement a For-Each scope to invoke the two vendor applications
Use until successful scope to implement the retry mechanism for the timeout errors
| D. Implement Round-Robin scope to invoke the two vendor applications on two different routes
Use the Try-Catch scope to implement retry mechanism for timeout errors on each route
|
A. Implement a scatter-gather scope to invoke the two vendor
applications on two different route
Use the Until-Successful scope to implement the retry mechanism
for timeout errors on each route
Explanation:
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
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