As part of a growth strategy, a supplier signs a trading agreement with a large customer. The customer sends purchase orders to the supplier according to the ANSI X12 EDI standard, and the supplier creates the orders in its ERP system using the information in the EDI document.
The agreement also requires that the supplier provide a new RESTful API to process request from the customer for current product inventory level from the supplier' s ERP system.
Which two fundamental integration use cases does the supplier need to deliver to provide an end-to-end solution for this business scenario? (Choose two.)
A. Synchronized data transfer B. Sharing data with external partners C. User interface integration D. Streaming data ingestion E. Data mashups
A. Synchronized data transfer B. Sharing data with external partners
Question 162:
An organization wants to minimize operational overhead while deploying Mule applications that must remain within its private network. Which Anypoint Platform deployment model is most suitable?
A. CloudHub B. Runtime Fabric on customer-managed Kubernetes C. MuleSoft-hosted shared worker cloud D. Standalone Mule runtime without management
B. Runtime Fabric on customer-managed Kubernetes
Runtime Fabric allows organizations to run Mule applications on their own Kubernetes infrastructure while still using the MuleSoft-hosted control plane, reducing operational complexity while meeting network requirements.
Question 163:
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
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.
An organization is implementing a Quote of the Day API that caches today's quote. What scenario can use the CloudHub Object Store connector to persist the cache's state?
A. When there is one deployment of the API implementation to CloudHub and another one to customer hosted mule runtime that must share the cache state. B. When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state. C. When there is one CloudHub deployment of the API implementation to three workers that must share the cache state. D. When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state.
C. When there is one CloudHub deployment of the API implementation to three workers that must share the cache state.
Object Store Connector is a Mule component that allows for simple key-value storage. Although it can serve a wide variety of use cases, it is mainly design for: - Storing synchronization information, such as watermarks. - Storing temporal information such as access tokens. - Storing user information. Additionally, Mule Runtime uses Object Stores to support some of its own components, for example: - The Cache module uses an Object Store to maintain all of the cached data. - The OAuth module (and every OAuth enabled connector) uses Object Stores to store the access and refresh tokens. Object Store data is in the same region as the worker where the app is initially deployed. For example, if you deploy to the Singapore region, the object store persists in the Singapore region.
Data can be shared between different instances of the Mule application. This is not recommended for Inter Mule app communication. Coming to the question, object store cannot be used to share cached data if it is deployed as separate Mule applications or deployed under separate Business Groups. Hence correct answer is When there is one CloudHub deployment of the API implementation to three workers that must share the cache state.
Question 165:
A team would like to create a project skeleton that developers can use as a starting point when creating API Implementations with Anypoint Studio. This skeleton should help drive consistent use of best practices within the team.
What type of Anypoint Exchange artifact(s) should be added to Anypoint Exchange to publish the project skeleton?
A. A custom asset with the default API implementation B. A RAML archetype and reusable trait definitions to be reused across API implementations C. An example of an API implementation following best practices D. a Mule application template with the key components and minimal integration logic
D. a Mule application template with the key components and minimal integration logic
# Sharing Mule applications as templates is a great way to share your work with other people who are in your organization in Anypoint Platform. When they need to build a similar application they can create the mule application using the template project from Anypoint studio.
# Anypoint Templates are designed to make it easier and faster to go from a blank canvas to a production application. They're bit for bit Mule applications requiring only Anypoint Studio to build and design, and are deployable both on-premises and in the cloud.
# Anypoint Templates are based on five common data Integration patterns and can be customized and extended to fit your integration needs. So even if your use case involves different endpoints or connectors than those included in the template, they still offer a great starting point. Some of the best practices while creating the template project: - Define the common error handler as part of template project, either using pom dependency or mule config file - Define common logger/audit framework as part of the template project - Define the env specific properties and secure properties file as per the requirement - Define global.xml for global configuration - Define the config file for connector configuration like Http,Salesforce,File,FTP etc - Create separate folders to create DWL,Properties,SSL certificates etc - Add the dependency and configure the pom.xml as per the business need
-Configure the mule-artifact.json as per the business need
Question 166:
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible
What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?
A. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave B. From the mule application, transform via theXSLT model C. Transform by calling any suitable Java class from Dataweave D. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
C. Transform by calling any suitable Java class from Dataweave
Question 167:
A company is modernizing its legal systems lo accelerate access lo applications and data while supporting the adoption of new technologies. The key to achieving this business goal is unlocking the companies' key systems and dala including microservices miming under Docker and kubernetes containers using apis.
Considering the current aggressive backlog and project delivery requirements the company wants to take a strategic approach in the first phase of its transformation projects by quickly deploying API's in mule runtime that are able lo scale, connect to on premises systems and migrate as needed.
Which runtime deployment option supports company's goals?
A. Customer hosted self provisioned runtimes B. Cloudhub runtimes C. Runtime fabric on self managed Kubernetes D. Runtime fabric on Vmware metal
C. Runtime fabric on self managed Kubernetes
Question 168:
According to MuleSoft's API development best practices, which type of API development approach starts with writing and approving an API contract?
A. Implement-first B. Catalyst C. Agile D. Design-first
D. Design-first
Question 169:
An organization is not meeting its growth and innovation objectives because IT cannot deliver projects last enough to keep up with the pace of change required by the business.
According to MuleSoft's IT delivery and operating model, which step should the organization lake to solve this problem?
A. Modify IT governance and security controls so that line of business developers can have direct access to the organization's systems of record B. Switch from a design-first to a code-first approach for IT development C. Adopt a new approach that decouples core IT projects from the innovation that happens within each line of business D. Hire more |T developers, architects, and project managers to increase IT delivery
C. Adopt a new approach that decouples core IT projects from the innovation that happens within each line of business
Question 170:
An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?
A. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down B. Until Successful scope can be implemented while calling backend API's C. On Error Continue scope to be used to call in case of error again D. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's
B. Until Successful scope can be implemented while calling backend API's
Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry
Nowadays, the certification exams become more and more important and required by more and more
enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare
for the exam in a short time with less efforts? How to get a ideal result and how to find the
most reliable resources? Here on Vcedump.com, you will find all the answers.
Vcedump.com provide not only Mulesoft exam questions,
answers and explanations but also complete assistance on your exam preparation and certification
application. If you are confused on your MCIA-LEVEL1 exam preparations
and Mulesoft certification application, do not hesitate to visit our
Vcedump.com to find your solutions here.