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Salesforce Mule-Arch-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing architecture using integration paradigms | 10% | - Create high-level integration architectures using event-driven APIs and message brokers - Create high-level integration architectures using API-led Connectivity - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using web APIs and HTTP |
| Topic 2: Initiating integration solutions on the Anypoint Platform | 8% | - Differentiate between functional and non-functional requirements for integration solutions - 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) |
| Topic 3: Designing and building Mule applications | 32% | - Specify reliable messaging, error handling, and reconnection strategies - Design and use batch jobs for large data processing - Design Mule application flows and subflows for modularity and reuse - Define and use caches and object stores - Select and use the correct components for API implementations |
| Topic 4: Configuring and using connectors | 14% | - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for JMS - Select and configure the correct connector for integration scenarios - Configure and use Anypoint Connector for File, FTP, and SFTP - Configure and use Anypoint Connector for Database |
| Topic 5: Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics of Anypoint Monitoring in all deployment options - Design the logging configurations and options of Mule applications 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 - Identify the features and characteristics for automating interactions with Anypoint Platform |
| Topic 6: 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 |
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
1. A Mule application is deployed to an existing Runtime Fabric (RTF) cluster and must access the data saved in the Object Store V2 by a CloudHub application.
Which steps should be followed to achieve the requirement and enable the shared Object Store access across these two applications?
A) Obtain the Access Token from the /oauth2/token endpoint
B) Obtain the Client ID and Client Secret from the CloudHub App Object Store
C) Obtain the Client ID and Client Secret from the Business Group
D) Obtain the Access Token from the CloudHub App Object Store
2. Which sources of metadata can be utilized in the Transform Message component in Mule applications?
A) Hard-coded values in the component
B) External XML schemas
C) Manual entries only
D) API specifications
3. An organization is automating the deployment of several Mule applications to a single customer-hosted Mule runtime. There is also a corporate regulatory requirement to have all payload data and usage data reside in the organization's network.
The automation will be invoked from one of the organization's internal systems and should not involve connecting to Runtime Manager in Anypoint Platform.
Which Anypoint Platform component(s) and REST API(s) are required to configure the automated deployment of the Mule applications?
A) The Runtime Manager REST API (without any agents) to deploy the Mule applications directly to the Mule runtime
B) A Runtime Manager agent installed in the Mule runtime
C) An Anypoint Monitoring agent installed in the Mule runtime
D) The Anypoint Monitoring REST API (without any agents) to deploy Mule applications to the Mule runtime using Anypoint Monitoring
4. Refer to the exhibit.
In this Mule application, the retrieveFile flow's event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecord flow's VM Listener receives messages from the same VM queue and then processes each message separately. This Mule application is deployed to multiple CloudHub workers with persistent queues enabled. How are messages routed to the CloudHub workers as messages are received by the VM Listener?
A) Each message is routed to the same CloudHub worker that retrieved the file, thereby binding all messages to only that one CloudHub worker
B) Each message is routed to one of the CloudHub workers in a deterministic round-robin fashion, thereby exactly balancing messages among the CloudHub workers
C) Each message is routed to one of the available CloudHub workers in a non-deterministic, non-round-robin fashion, thereby approximately balancing messages among the CloudHub workers
D) Each message is duplicated to all of the CloudHub workers, thereby sharing each message with all the CloudHub workers
5. Choose the appropriate deployment option for the Anypoint Platform control plane. (Choose Two)
A) Local server deployment
B) On-premises
C) Peripheral device installation
D) Cloud deployment
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B,D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B,D |
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