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Salesforce Mule-Dev-301 Exam Syllabus Topics:

SectionWeightObjectives
Secure Data at Rest and in Transit20%- Implement security best practices
  • 1. Expose APIs over HTTPS
  • 2. Implement secure property management
  • 3. Secure sensitive data in Mule applications
  • 4. Create and distribute certificates and keys
  • 5. Implement TLS mutual authentication
Implement Monitorable Mule Applications15%- Implement monitoring and logging
  • 1. Change log levels dynamically
  • 2. Expose health check endpoints
  • 3. Implement monitoring dashboards and alerts
  • 4. Configure and evaluate application logs
Implement Maintainable and Modular Mule Applications and Their Maven Builds25%- Implement modular Mule application structures
  • 1. Execute MUnit tests with Maven
  • 2. Optimize Maven build configurations
  • 3. Implement Maven-based automated deployments
  • 4. Implement unit testing with MUnit framework
  • 5. Create custom API rules
Implement Performant and Reliable Mule Applications27%- Optimize reliability and performance
  • 1. Implement asynchronous processing
  • 2. Build fault-tolerant message processing
  • 3. Validate assertions using validation modules
  • 4. Implement ObjectStore persistence
  • 5. Implement performant API invocations
Expose Production-Ready Anypoint Platform Managed APIs13%- Manage APIs with Anypoint Platform
  • 1. Configure API policies
  • 2. Implement server-side API caching
  • 3. Implement API versioning
  • 4. Implement HTTP callbacks
  • 5. Request and manage API access

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Salesforce Certified MuleSoft Developer II Sample Questions (Q31-Q36):

NEW QUESTION # 31
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?

Answer: C

Explanation:
To invoke multiple HTTP APIs in parallel and roll back failed requests in sequence, the developer should use a Scatter-Gather router as a central Saga orchestrator for all API requests with compensating actions for failing routes. A Scatter-Gather router executes multiple routes concurrently and aggregates the results. A Saga orchestrator coordinates a series of actions across different services and handles failures by executing compensating actions. Therefore, using a Scatter-Gather router as a Saga orchestrator allows invoking multiple HTTP APIs in parallel and rolling back any failed requests in sequence. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/saga


NEW QUESTION # 32
A scatter-gather router is configured with four routes:Route A, B, C and D.
Route C false.

Answer: B

Explanation:
The result of accessing route C failure is Error,errorMessage,payload.failures['2']. This is because a scatter-gather router returns an aggregated message that contains an array of results from each route and an array of failures from each route. The failures array contains error objects with information about each failed route execution. To access route C failure, which is the third route (index 2), the developer needs to use Error.errorMessage.payload.failures['2'] expression. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-reference#scatter-gather-output


NEW QUESTION # 33
A Mule application deployed to a standardalone Mule runtime uses VM queues to publish messages to be consumed asynchronously by another flow.
In the case of a system failure, what will happen to in-flight messages in the VM queues that have been consumed?

Answer: B

Explanation:
In case of a system failure, in-flight messages in persistent VM queues that have been consumed will be processed after the system comes online. This is because persistent VM queues store messages on disk and guarantee delivery even if there is a system crash or restart. Therefore, any in-flight messages that have been consumed but not processed will be recovered from disk and processed when the system is back online. Reference: https://docs.mulesoft.com/mule-runtime/4.3/vm-connector#persistent-queues


NEW QUESTION # 34
What is the MuleSoft recommended method to encrypt sensitive property data?

Answer: B

Explanation:
Secure property management should isolate development, test, staging, and production environments rather than allowing secrets from one environment to provide access to another. MuleSoft's Secure Configuration Properties model supports this by using environment-specific property files-for example dev.secure.yaml, sandbox.secure.yaml, and prod.secure.yaml-and resolving the appropriate file through an environment property.
Sensitive values such as passwords, API credentials, and private service configuration should therefore be environment-specific. Production credentials should not normally be reused in development or testing. The encryption key used to protect those values should likewise be independently managed rather than shared broadly across security boundaries. This limits the impact if a non-production key or properties file is exposed.
The Secure Properties Tool encrypts the sensitive values using a supplied key, while the Mule runtime receives the corresponding decryption key separately at deployment/runtime. MuleSoft also emphasizes protecting that key rather than embedding it directly in application configuration.
Accordingly, the Developer II security model represented by this question expects both different sensitive property values and different encryption keys across environments.
Reference topics: Secure Configuration Properties; environment-specific secure files; encryption keys; secret isolation; deployment security.
Official documentation: https://docs.mulesoft.com/anypoint-code-builder/int-create-secure-configs


NEW QUESTION # 35
Refer to the exhibits.
Based on the code snippet, schema.json file, and payload below, what is the outcome of the given code snippet when a request is sent with the payload?
Exhibits:

Answer: B

Explanation:
The flow passes the incoming HTTP request payload directly to the JSON Module's Validate schema operation. The referenced schema.json defines the age property as an integer with "minimum": 0. However, the request shown in the exhibit contains:
"age": -1
This violates the schema because -1 is below the permitted minimum. MuleSoft specifies that the JSON Module's Validate schema operation compares the input content with the supplied JSON Schema and, when the document does not conform, raises JSON:SCHEMA_NOT_HONOURED.
Consequently, normal flow execution stops at the validation operation unless an error handler explicitly consumes the exception. The Logger positioned after the validation operation is not executed in this flow because validation fails first.
The schema's description text-"Age in years which must be equal to or greater than zero."-is metadata describing the property; it does not automatically become a successful HTTP response. Similarly, the request payload is not returned through a successful normal path after the schema violation.
Therefore, because the supplied age value violates minimum: 0, Mule raises JSON:
SCHEMA_NOT_HONOURED.
Reference topics: JSON Module; Validate Schema operation; JSON Schema constraints; minimum; JSON:
SCHEMA_NOT_HONOURED.
Official documentation: https://docs.mulesoft.com/json-module/latest/json-schema-validation


NEW QUESTION # 36
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