Mule-Dev-301 Testking Exam Questions | Exam Mule-Dev-301 Certification Cost

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Salesforce Mule-Dev-301 Exam Syllabus Topics:

Section	Weight	Objectives
Implement Maintainable and Modular Mule Applications and Their Maven Builds	25%	- Implement modular Mule application structures 1. Create custom API rules 2. Implement unit testing with MUnit framework 3. Implement Maven-based automated deployments 4. Execute MUnit tests with Maven 5. Optimize Maven build configurations
Implement Performant and Reliable Mule Applications	27%	- Optimize reliability and performance 1. Validate assertions using validation modules 2. Implement ObjectStore persistence 3. Implement asynchronous processing 4. Build fault-tolerant message processing 5. Implement performant API invocations
Expose Production-Ready Anypoint Platform Managed APIs	13%	- Manage APIs with Anypoint Platform 1. Implement server-side API caching 2. Request and manage API access 3. Implement HTTP callbacks 4. Configure API policies 5. Implement API versioning
Implement Monitorable Mule Applications	15%	- Implement monitoring and logging 1. Configure and evaluate application logs 2. Expose health check endpoints 3. Implement monitoring dashboards and alerts 4. Change log levels dynamically
Secure Data at Rest and in Transit	20%	- Implement security best practices 1. Expose APIs over HTTPS 2. Implement secure property management 3. Create and distribute certificates and keys 4. Secure sensitive data in Mule applications 5. Implement TLS mutual authentication

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Salesforce Certified MuleSoft Developer II Sample Questions (Q50-Q55):

NEW QUESTION # 50
A developer is working on a project that requires encrypting all data before sending it to a backend application. To accomplish this, the developer will use PGP encryption in the Mule 4 Cryptography module.
What is required to encrypt the data before sending it to the backend application?

A. The application needs to both the private and public keys to encrypt the data
B. The application needs the private key from the backend service to encrypt the data
C. The application needs the public key from the backend service to encrypt the data
D. The application needs to configure HTTPS TLS context information to encrypt the data

Answer: C

Explanation:
To encrypt the data before sending it to the backend application using PGP encryption, the application needs the public key from the backend service. PGP encryption uses a public-key cryptography system, which means that each party has a pair of keys: a public key and a private key. The public key is used to encrypt data, and the private key is used to decrypt data. Therefore, to encrypt data for a specific recipient (the backend service), the application needs to use the recipient's public key. The recipient can then use its own private key to decrypt the data. Reference: https://docs.mulesoft.com/mule-runtime/4.3/cryptography-pgp

NEW QUESTION # 51
An API has been built to enable scheduling email provider. The front-end system does very little data entry validation, and problems have started to appear in the email that go to patients. A validate-customer'' flow is added validate the data.
What is he expected behavior of the 'validate-customer'' flow?

A. If the email address is invalid, processing continues to see if the appointment data and customer name are also invalid
B. If all of the values are invalid the last validation error is raised:SCHEDULE:INVALID_CUSTOMER_NAME
C. If the appointment date and customer name are invalid, a SCHEDULE:INVALID_APPOINTMENT_DATE error is raised
D. If only the email address Is invalid a VALIDATION.INVALID_EMAIL error is raised

Answer: D

Explanation:
The validate-customer flow uses an until-successful scope to validate each field of the customer data. The until-successful scope executes its processors until they succeed or exhausts the maximum number of retries. If any processor fails, it raises an error and stops executing the remaining processors. Therefore, if only the email address is invalid, a VALIDATION.INVALID_EMAIL error is raised and the validation of appointment date and customer name is skipped. Reference: https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope

NEW QUESTION # 52
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back any failed requests in sequence?

A. A Parallel For Each scope with each HTTP request wrapped in a Try scope
B. Scatter-Gather as central Saga orchestrator for all API requests with compensating actions for failing routes
C. A database as a transactional outbox and an Until Successful router to retry any requests
D. VM queues as a reliability pattern with error handlers to roll back any requests

Answer: B

Explanation:
The requirement combines two architectural concerns: the downstream HTTP calls must execute concurrently, and completed remote operations must be reversible when another operation fails. Scatter- Gather is the appropriate Mule router for the concurrency requirement because it dispatches the event to multiple routes and executes those routes in parallel.
However, independent HTTP APIs cannot generally participate in a single ACID/XA transaction with Mule.
Once a remote API successfully commits an operation, Mule cannot simply perform a conventional transaction rollback across that service boundary. The appropriate distributed-transaction pattern is therefore a Saga, where successful steps have defined compensating operations that semantically undo their effects when a subsequent step fails.
Scatter-Gather also provides a composite error model. If one or more routes fail, Mule collects successful route results and route failures into a MULE:COMPOSITE_ROUTING error. A centralized orchestration
/error-handling flow can inspect those results and execute compensation logic in the required sequence.
Parallel For Each is designed for elements of a collection, not orchestration of several distinct API operations.
VM queues and transactional-outbox patterns address different reliability concerns and do not directly implement distributed compensation.
Reference topics: Scatter-Gather Router; Composite Routing Errors; Distributed Transactions; Compensating
/Saga Pattern.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept

NEW QUESTION # 53
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?

A. A Parallel for Each scope with each HTTP request wrapped in a Try scope
B. A database as a transactional outbox and an Until Successful router to retry any requests
C. VM queues as a reliability pattern with error handlers to roll back any requests
D. Scatter-Gather as central Saga orchestrator for all API request with compensating actions for failing routes

Answer: D

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 # 54
Refer to the exhibit.
What required changes can be made to give a partial successful response in case the United Airlines API returns with a timeout?

A. Add Flow Reference components inside a Try scope.
Set the payload to a default value'' insider the error handler using the ON Error Continue scope
B. Add a Scatter-gather component inside a Try scope.
Set the payload to a default value 'Error' inside the error handler using the On Error Propagate scope.
C. Add a Scatter-Gather component inside a Try scope.
Set the payload to a default value 'Error'' inside the error handler using the On Error Continue scope.
D. Add Flow Reference components inside a Try scope
Set the payload to a default value '' inside the error handler using the On Error Propagate scope

Answer: C

Explanation:
To give a partial successful response in case the United Airlines API returns with a timeout, the developer should add a Scatter-Gather component inside a Try scope, and set the payload to a default value 'Error' inside the error handler using the On Error Continue scope. A Scatter-Gather component allows sending multiple requests concurrently and aggregating the responses into an array. A Try scope allows handling errors that occur within it using an error handler. An On Error Continue scope allows continuing the flow execution after handling an error. Therefore, by using these components, the developer can send requests to both APIs in parallel, handle any timeout errors from United Airlines API, and return a partial response with a default value for that API. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/try-scope-concept https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept

NEW QUESTION # 55
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