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Salesforce Mule-Arch-202 Exam Syllabus Topics:

Section	Weight	Objectives
Designing architecture using integration paradigms	10%	- Create high-level integration architectures using event-driven APIs and message brokers - Create high-level integration architectures using web APIs and HTTP - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using API-led Connectivity
Designing and building Mule applications	32%	- Define and use caches and object stores - Select and use the correct components for API implementations - Design and use batch jobs for large data processing - Specify reliable messaging, error handling, and reconnection strategies - Design Mule application flows and subflows for modularity and reuse
Configuring and using connectors	14%	- Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for JMS - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for File, FTP, and SFTP - Select and configure the correct connector for integration scenarios
Deploying and managing APIs and integrations	22%	- Define and apply policies for API security, traffic management, and quality of service - Manage API versions and contracts using API Manager and Anypoint Exchange - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Select the correct Anypoint Platform deployment options for a given scenario
Initiating integration solutions on the Anypoint Platform	8%	- Select deployment options of the Anypoint Platform control plane and runtime plane - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) - Differentiate between functional and non-functional requirements for integration solutions
Applying DevOps practices and operating integration solutions	14%	- Create the high-level design of continuous integration (CI) and continuous delivery (CD) pipelines for Mule applications using MuleSoft-provided Maven plugins - Identify the features and characteristics of Anypoint Monitoring in all deployment options - Identify the features and characteristics for automating interactions with Anypoint Platform - Design the logging configurations and options of Mule applications in all deployment options

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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions (Q69-Q74):

NEW QUESTION # 69
How do common messaging patterns enhance Mule application design?

A. By ensuring consistent data retrieval methods.
B. By simplifying data transformation logic.
C. By enabling more effective communication between components.
D. By requiring less frequent updates.

Answer: C

NEW QUESTION # 70
When are non-XA transactions preferred over traditional XA transactions in integration solutions?

A. When the integration involves multiple distributed transactions.
B. When maximum data integrity and reliability are required.
C. When fewer resources are involved and less overhead is desired.
D. When data consistency across multiple resources is critical.

Answer: C

NEW QUESTION # 71
In the context of Mule applications, why is it important to use a Canonical Data Model for designing automated tests?

A. It ensures that all developers use the same programming language.
B. It reduces the need for security testing.
C. It allows for consistent test cases across different systems and services.
D. It provides a fixed set of APIs for all integration points.

Answer: C

NEW QUESTION # 72
Refer to the exhibit.

A Mule application is deployed to a multi-node Mule runtime cluster. The Mule application uses the Competing Consumers pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow. Step 1: The JMS Correlation ID header is read from the received JMS message. Step 2: The Mule application invokes an idempotent SOAP web service over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request. Step 3: The response from the SOAP web service also returns the same JMS Correlation ID. Step 4: The JMS Correlation ID received from the SOAP web service is validated to be identical to the JMS Correlation ID received in Step 1. Step 5: The Mule application creates a response JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue. Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3 so that the validation in Step 4 can be performed and the overall Mule application can be highly available, fault-tolerant, performant, and maintainable?

A. Both Correlation ID values should be stored as Mule event variables or attributes
B. Both Correlation ID values should be stored in a persistent Object Store
C. The Correlation ID value in Step 1 should be stored in a persistent Object Store The Correlation ID value in Step 3 should be stored as Mule event variables or attributes
D. Both Correlation ID values should be stored in a nonpersistent Object Store

Answer: A

NEW QUESTION # 73
What is a key feature of MUnit that supports unit testing in Mule applications?

A. Mandatory external dependencies for tests.
B. Integration with non-Mule applications.
C. Simulation of message flows and mock components.
D. Ability to test individual data fields only.

Answer: C

NEW QUESTION # 74
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