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Salesforce Mule-Dev-301 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement API autodiscovery - Implement HTTP callbacks/webhooks |
| Secure Data at Rest and in Transit | 20% | - Manage secure environment properties - Implement security policies - Manage keys and certificates - Expose and invoke APIs over HTTPS |
| Implement Monitorable Mule Applications | 15% | - Implement logging and log management - Monitor applications and runtimes - Implement message correlation - Expose health check endpoints |
| Implement Performant and Reliable Mule Applications | 27% | - Handle HTTP API invocations and errors - Validate messages and payloads - Use ObjectStore for persistence - Implement reliable messaging patterns - Optimize performance and throughput |
| Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Build custom policies and processors - Execute tests with Maven - Modularize applications and builds - Implement automated deployment - Create reusable libraries |
Salesforce Certified MuleSoft Developer II Sample Questions:
Which type of cache invalidation does the Cache scope support without having to write any additional code?
- A. Notification-based invalidation
- B. White-behind invalidation
- C. Time to live
- D. Write-through invalidation
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A Mule implementation uses a HTTP Request within an Unit Successful scope to connect to an API.
How should a permanent error response like HTTP:UNAUTHORIZED be handle inside Until Successful to reduce latency?
- A. Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Propagate to catch permanent errors like HTTP UNAUTHORIZED. - B. In Until Successful configuration, set the retry count to 1 for error type HTTP: UNAUTHORIZED.
- C. Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Continue to catch permanent errors like HTTP UNAUTHORIZED. - D. Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API responds back with a successful response.
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A Mule application deployed to multiple Cloudhub 2.0 replicas needs to temporarily persist large files over 10MB between flow executions, and routinely needs to query whether the file data exists on separate executions.
How can this be achieved?
- A. Store the key and full contents of the file, caching the filename and location between requests
- B. Use an in-memory Object Store
- C. Store the key and full contents of the file in an Object Store
- D. Store the contents of the file on separate storage, and store the key and location of the file Object using Object Store v2
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A Mule API receives a JSON payload and updates the target system with the payload. The developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?
- A. Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema
- B. Apply the JSON Schema policy in API Manager and reference the correct schema in the policy configuration
- C. Using the DataWeave if Else condition test the values of the payload against the examples included in the schema
- D. Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script, add:
%dw 2.0
Import.json-moduls
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A mule application exposes and API for creating payments. An Operations team wants to ensure that the Payment API is up and running at all times in production.
Which approach should be used to test that the payment API is working in production?
- A. Create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API
- B. Create a health check endpoint that reuses the same port number and HTTP Listener configuration as the API itself
- C. Configure the application to send health data to an external system
- D. Monitor the Payment API directly sending real customer payment data
