Valid Mule-Dev-301 Exam Syllabus | Mule-Dev-301 Valid Test Tips

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Salesforce Mule-Dev-301 Exam Syllabus Topics:

SectionWeightObjectives
Implement Maintainable and Modular Mule Applications and Maven Builds25%- Implement automated deployment
- Execute tests with Maven
- Build custom policies and processors
- Create reusable libraries
- Modularize applications and builds
Design and Implement API-led Connectivity13%- Implement server-side caching
- Implement API autodiscovery
- Implement HTTP callbacks/webhooks
Secure Data at Rest and in Transit20%- Implement security policies
- Manage secure environment properties
- Manage keys and certificates
- Expose and invoke APIs over HTTPS
Implement Performant and Reliable Mule Applications27%- Optimize performance and throughput
- Handle HTTP API invocations and errors
- Use ObjectStore for persistence
- Implement reliable messaging patterns
- Validate messages and payloads
Implement Monitorable Mule Applications15%- Monitor applications and runtimes
- Implement logging and log management
- Implement message correlation
- Expose health check endpoints

>> Valid Mule-Dev-301 Exam Syllabus <<

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Salesforce Certified MuleSoft Developer II Sample Questions (Q56-Q61):

NEW QUESTION # 56
A company deploys 10 public APIs to CloudHub. Each API has its individual health endpoint defined. The platform operation team wants to configure API Functional Monitoring to monitor the health of the APIs periodically while minimizing operational overhead and cost.
How should API Functional Monitoring be configured?

Answer: D

Explanation:
To configure API Functional Monitoring to monitor the health of 10 public APIs periodically while minimizing operational overhead and cost, the developer should use one public location with all 10 APIs in a single schedule. A public location is a worker that runs in a CloudHub shared environment, which is cheaper and easier to maintain than a private location. A single schedule allows running all 10 APIs tests at the same time and frequency, which reduces complexity and resource consumption. Reference: https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor


NEW QUESTION # 57
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?

Answer: C

Explanation:
PGP uses asymmetric cryptography for establishing confidentiality between a sender and a recipient. When the Mule application sends encrypted information to the backend service, it encrypts the content using the recipient's public key. Only the corresponding private key, retained by the backend recipient, can subsequently be used to decrypt that content.
MuleSoft's Cryptography Module documentation explicitly identifies the two principal PGP scenarios:
outgoing encryption uses another party's public key, while incoming decryption uses the receiver's own private key. In a Mule application, the backend's public key is normally imported into a PGP public keyring, and the Cryptography Module's PGP Encrypt operation references the appropriate key or fingerprint.
The sender does not need the backend's private key. In fact, distributing the recipient's private key would defeat the fundamental security model of public-key cryptography. Both keys would be relevant for certain combined operations such as encryption plus signing, but ordinary encryption for confidentiality requires the recipient's public key. HTTPS/TLS may additionally protect transport, but it is separate from PGP payload encryption.
Reference topics: Cryptography Module; PGP Encryption; Public and Private Keyrings; PGP Encrypt Operation.
Official documentation: https://docs.mulesoft.com/cryptography-module/latest/cryptography-module-pgp


NEW QUESTION # 58
Refer to the exhibits.
The flow name is "implementation" with code for the MUnit test case.
When the MUnit test case is executed, what is the expected result?
Exhibit:

Answer: B

Explanation:
The significant attribute in the MUnit definition is expectedErrorType="APP:CUSTOM_ERROR". The referenced implementation flow deliberately invokes raise-error with exactly the same error type: APP:
CUSTOM_ERROR.
MUnit supports expected-error testing specifically for negative scenarios. When expectedErrorType is configured, the test is considered successful when execution produces that expected Mule error. The raised error is therefore not treated as an unexpected test failure; it satisfies the test's declared expectation.
The apparently failing assertion-testing true against equalTo(false)-does not change the result in this scenario because normal execution does not reach the validation chain after the referenced flow raises the expected error. The expected error terminates the execution path being tested and satisfies the MUnit expectation.
If the implementation generated a different error type, option B would apply. If it generated no error when an error was expected, the test would also fail. Here, however, the flow explicitly raises the exact application- defined error specified by the test.
Reference topics: MUnit Test Structure; expectedErrorType; Error Testing; Raise Error Component.
Official documentation: https://docs.mulesoft.com/munit/3.6/munit-test-concept


NEW QUESTION # 59
A Mule application for processing orders must log the order ID for every log message output.
What is a best practice to enrich every log message with the order ID?

Answer: B

Explanation:
To enrich every log message with the order ID, the developer should use the Tracing module to set logging variables with a Mapped Diagnostic Context (MDC). The Tracing module allows adding custom key-value pairs to log messages using MDC variables. The developer can use Set Logging Variables operation to set the order ID as an MDC variable and then use it in any logger processor within the same thread or event. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#set-logging-variables


NEW QUESTION # 60
Refer to the exhibit.
When creating a new project, which API implementation allows for selecting the correct API version and scaffolding flows from the API specification?
Exhibit:

Answer: A

Explanation:
When an API specification has already been published as an asset, Import a published API is the appropriate project-creation path because Anypoint Studio can resolve the published asset and its version and then use that specification to generate the Mule implementation skeleton.
APIkit scaffolding creates the implementation backbone from the selected specification, including the HTTP Listener entry flow, APIkit Router, console-related configuration, and operation-specific implementation flows. MuleSoft currently documents that Studio can scaffold APIs by importing a published API from Exchange/Maven, importing a local specification, or obtaining one from Design Center. However, the distinguishing requirement in this question is selecting the correct published API version. A published Exchange asset has explicit artifact/version coordinates, allowing the intended version to be selected rather than merely working from an unmanaged local RAML file.
Importing a local RAML can generate flows, but it does not inherently provide Exchange-based artifact
/version selection. Likewise, "Generate a local RAML" is not the mechanism shown in the new-project API implementation interface.
Reference topics: APIkit for REST; API Scaffolding; Anypoint Exchange API assets; API version selection; Studio project creation.
Official documentation: https://docs.mulesoft.com/apikit/latest/apikit-4-scaffolding-reference


NEW QUESTION # 61
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