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MuleSoft MCIA-Level-1-Maintenance Exam Syllabus Topics:

Topic Details
Topic 1
  • Analyze and counteract potential security vulnerabilities of Mule applications
  • Designing integration solutions to meet security requirements

Topic 2
  • Design secure access to the Anypoint Platform control plane and APIs
  • Recognize the audit logging capabilities of Anypoint Platform

Topic 3
  • Designing integration solutions to meet reliability requirements
  • Design Mule applications and integration solutions to meet performance and capacity goals

Topic 4
  • Select and use the available sources of metadata in the Transform Message component
  • Select among available options for setting Mule application properties

Topic 5
  • Design Mule applications using core routers available to all Mule applications
  • Design Mule applications using common features of core connectors

Topic 6
  • Select deployment options of the Anypoint Platform control plane and runtime plane
  • Initiating integration solutions on Anypoint Platform

Topic 7
  • Describe the fundamental features of the Salesforce connector
  • Correctly apply methods for validating data in Mule applications

Topic 8
  • Designing architecture using integration paradigms
  • Create high-level integration architectures using web APIs and HTTP

Topic 9
  • Create high-level integration architectures using event-driven APIs and message brokers
  • Create high-level integration architectures using API-led Connectivity

Topic 10
  • Describe the characteristics and implications of the Mule 4 reactive event processing model
  • Designing for the runtime plane technology architecture

Topic 11
  • Designing integration solutions to meet performance requirements
  • Design Mule applications using available streaming features in Mule


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MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Sample Questions (Q77-Q82):

NEW QUESTION # 77
An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?

  • A. A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
  • B. The second replicas will take over processing the remaining
    99000 records
  • C. A new placement replica will be available and will take or processing the remaining 99,000 records
  • D. The remaining 99000 records will be lost and left and processed

Answer: B
NEW QUESTION # 78
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. From the mule application, transform via theXSLT model
  • B. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
  • C. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave
  • D. Transform by calling any suitable Java class from Dataweave

Answer: D
NEW QUESTION # 79
An external web UI application currently accepts occasional HTTP requests from client web browsers to change (insert, update, or delete) inventory pricing information in an inventory system's database. Each inventory pricing change must be transformed and then synchronized with multiple customer experience systems in near real-time (in under 10 seconds). New customer experience systems are expected to be added in the future.
The database is used heavily and limits the number of SELECT queries that can be made to the database to 10 requests per hour per user.
What is the most scalable, idiomatic (used for its intended purpose), decoupled. reusable, and maintainable integration mechanism available to synchronize each inventory pricing change with the various customer experience systems in near real-time?

  • A. Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the watermark attribute set to an appropriate database column In the same now, use a Scatter-Gather to call each customer experience system's REST API with transformed inventory-pricing records
  • B. Replace the external web UI application with a Mule application to accept HTTP requests from client web browsers In the same Mule application, use a Batch Job scope to test if the database request will succeed, aggregate pricing changes within a short time window, and then update both the inventory pricing database and each customer experience system using a Parallel For Each scope
  • C. Add a trigger to the inventory-pricing database table so that for each change to the inventory pricing database, a stored procedure is called that makes a REST call to a Mule application Write the Mule application to publish each Mule event as a message to an Anypoint MQ exchange Write other Mule applications to subscribe to the Anypoint MQ exchange, transform each received message, and then update the Mule application's corresponding customer experience system(s)
  • D. Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the ID attribute set to an appropriate database column In the same flow, use a Batch Job scope to publish transformed Inventory-pricing records to an Anypoint MQ queue Write other Mule applications to subscribe to the Anypoint MQ queue, transform each received message, and then update the Mule application's corresponding customer experience system(s)

Answer: C
NEW QUESTION # 80
As a part of project , existing java implementation is being migrated to Mulesoft. Business is very tight on the budget and wish to complete the project in most economical way possible.
Canonical object model using java is already a part of existing implementation. Same object model is required by mule application for a business use case. What is the best way to achieve this?

  • A. Create similar model for Mule applications
  • B. Make use of Java module
  • C. Create a custom application to read Java code and make it available for Mule application
  • D. Use Anypoint exchange

Answer: B Explanation:
Explanation
Mule 4 is built to:
Minimize the need for custom code.
Avoid the need for you to know or understand Java.
However, some advanced uses cases require integration with custom Java code, such as:
Reuse of a library, such as a tax calculation library.
Reuse of a canonical object model that is standard in the organization.
Execution of custom logic using Java.
Mule ref doc :https://docs.mulesoft.com/java-module/1.2/
NEW QUESTION # 81*
To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSORDATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSORDATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?

  • A. Set numberOfConsumers = 1
    Set primaryNodeOnly = true
  • B. Set numberOfConsumers to a value greater than one
    Set primaryNodeOnly = true
  • C. Set numberOfConsumers to a value greater than one
    Set primaryNodeOnly = false
  • D. Set numberOfConsumers = 1
    Set primaryNodeOnly = false

Answer: C
NEW QUESTION # 82
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