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Salesforce Mule-Arch-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Designing architecture using integration paradigms | 10% | - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using API-led Connectivity - Create high-level integration architectures using event-driven APIs and message brokers - Create high-level integration architectures using web APIs and HTTP |
| Designing and building Mule applications | 32% | - Design Mule application flows and subflows for modularity and reuse - Define and use caches and object stores - Specify reliable messaging, error handling, and reconnection strategies - Design and use batch jobs for large data processing - Select and use the correct components for API implementations |
| Configuring and using connectors | 14% | - Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for File, FTP, and SFTP - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for JMS - Select and configure the correct connector for integration scenarios |
| Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics of Anypoint Monitoring in all deployment options - Create the high-level design of continuous integration (CI) and continuous delivery (CD) pipelines for Mule applications using MuleSoft-provided Maven plugins - Design the logging configurations and options of Mule applications in all deployment options - Identify the features and characteristics for automating interactions with Anypoint Platform |
| Initiating integration solutions on the Anypoint Platform | 8% | - 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 - Select deployment options of the Anypoint Platform control plane and runtime plane |
| Deploying and managing APIs and integrations | 22% | - Define and apply policies for API security, traffic management, and quality of service - Select the correct Anypoint Platform deployment options for a given scenario - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Manage API versions and contracts using API Manager and Anypoint Exchange |
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
1. An organization plans to leverage the MuleSoft open-source Serialization API to serialize or de-serialize objects into a byte array.
Which two considerations must be kept in mind while using the Serialization API? (Choose two.)
A) The API passes an OutputStream when serializing and streaming
B) The API allows an InputStream as an input source
C) The API is not thread-safe
D) The API does not support configuring a Custom Serializer
E) The API does not provide any flexibility to specify which classloader to use
2. When designing Mule applications to process large streams of messages, what is a key consideration?
A) Employing repeatable streams to avoid data loss.
B) Limiting connectivity to external systems.
C) Using synchronous processing to ensure data consistency.
D) Reducing the number of transformations to enhance clarity.
3. What is a critical practice for securing access to the Anypoint Platform control plane?
A) Using default login credentials for ease of access.
B) Implementing strong, role-based access control mechanisms.
C) Limiting access to within corporate network only.
D) Regularly changing the platform's URL for security.
4. Select the core router that would be used to process multiple routes concurrently in a Mule application.
A) Round Robin
B) First Successful
C) All
D) Scatter-Gather
5. Refer to the exhibits.
A company has several applications deployed to a CloudHub VPC in the Asia-Pacific (Sydney) region. The VPC is connected to the corporate network with a transit gateway. The development team plans to create a solution that provides a REST API using a custom domain, available on the public internet. The solution will use a custom connector that requires Microsoft Windows Server 2022. Which deployment model minimizes disruption to existing integrations while meeting the new requirements?
A) Build a Mule application with the custom connector Deploy the application to CloudHub using Microsoft Windows 2022 workers Deploy the public-facing API application to the CloudHub VPC, and configure a CloudHub Dedicated Load Balancer
B) Provision six Windows Server 2022 virtual machines, and install Runtime Fabric for VMs Build a Mule application with the custom connector, and deploy it to Runtime Fabric Deploy a public-facing API application to the CloudHub VPC, and configure a CloudHub Dedicated Load Balancer
C) Provision an Azure Kubernetes Service cluster, and install Runtime Fabric for Self-Managed Kubernetes Build a Mule application with the custom connector, and deploy it to Runtime Fabric Deploy a public-facing API application to the CloudHub VPC, and configure a CloudHub Dedicated Load Balancer
D) Provision Microsoft Windows 2022 servers, and install customer-hosted standalone Mule runtimes Build a Mule application with the custom connector, and deploy it to the customer-hosted runtimes Deploy the public-facing API application to the CloudHub VPC, and configure a CloudHub Dedicated Load Balancer
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |







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