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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 web APIs and HTTP - 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 |
| Topic 2: Deploying and managing APIs and integrations | 22% | - Manage API versions and contracts using API Manager and Anypoint Exchange - Define and apply policies for API security, traffic management, and quality of service - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Select the correct Anypoint Platform deployment options for a given scenario |
| Topic 3: Configuring and using connectors | 14% | - Configure and use Anypoint Connector for JMS - Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for HTTP - Select and configure the correct connector for integration scenarios - Configure and use Anypoint Connector for File, FTP, and SFTP |
| Topic 4: Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics for automating interactions with Anypoint Platform - 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 of Anypoint Monitoring in all deployment options |
| Topic 5: Designing and building Mule applications | 32% | - Design and use batch jobs for large data processing - Specify reliable messaging, error handling, and reconnection strategies - Select and use the correct components for API implementations - Define and use caches and object stores - Design Mule application flows and subflows for modularity and reuse |
| Topic 6: Initiating integration solutions on the Anypoint Platform | 8% | - Select deployment options of the Anypoint Platform control plane and runtime plane - Differentiate between functional and non-functional requirements for integration solutions - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) |
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
1. 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.
How can inventory pricing changes synchronize with the various customer experience systems in near real-time using an integration mechanism that is scalable, decoupled, reusable, and maintainable?
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.
B) 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.
C) Replace the external web UI application with a Mule application to accept HTTP requests from client web browsers.
D) 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.
2. What are two considerations when designing Mule APIs and integrations that leverage an enterprise-wide common data model (CDM)? (Choose two.)
A) The CDM models multiple definitions of a given data type based on separate domains
B) The CDM typically does not model process-level APIs
C) The CDM typically does not model experience-level APIs
D) Changes made to the data model do not impact the implementations of the APIs
E) All data types required by the APIs are not typically defined by the CDM
3. A Mule application is running on a customer-hosted Mule runtime in an organization's network. The Mule application acts as a producer of asynchronous Mule events. Each Mule event must be broadcast to all interested external consumers outside the Mule application. The Mule events should be published in a way that is guaranteed in normal situations and also minimizes duplicate delivery in less-frequent failure scenarios.
The organizational firewall is configured to only allow outbound traffic on ports 80 and 443. Some external event consumers are within the organizational network, while others are located outside the firewall.
Which Anypoint Platform service facilitates publishing these Mule events to all external consumers while addressing the desired reliability goals?
A) Anypoint MQ
B) Anypoint Exchange
C) CloudHub VM queues
D) CloudHub Shared Load Balancer
4. A manufacturing company has an HTTPS-enabled Mule application named Orders API that receives requests from another Mule application named Process Orders. The communication between these two Mule applications must be secured by TLS mutual authentication (two-way TLS).
At a minimum, what must be stored in each truststore and keystore of these two Mule applications to properly support two-way TLS between the two Mule applications while properly protecting each Mule application's keys?
A) Orders API truststore: The Process Orders private key
B) Orders API keystore: The Orders API private key
C) Orders API truststore: The Process Orders public key
D) Orders API truststore: The Process Orders public key
5. In an organization, there are multiple backend systems that contain customer-related dat a. There are multiple client systems that request the customer data from only one or more backend systems.
How can the integration between the source and target systems be designed to maximize efficiency?
A) Create a single Experience API with one endpoint for all consumers.
B) Create a single Experience API and expose multiple endpoints.
C) Create a single Experience API with one endpoint for all consumers.
D) Create multiple Experience APIs exposed to the different end users.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C,E | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
