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Salesforce Salesforce-MuleSoft-Developer-II Exam Sample Questions 2025

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Salesforce Spring 25 Release18-Sep-2025
60 Questions
4.9/5.0

Refer to the exhibit.

What is the result of the Mule Maven Plugin configuration of the value of propertyits,keystorePassoword in CloudHub 2.0?

A. CloudHub encrypts the value

B. The Mule server encrypts the value

C. Anypoint Studio secures the value

D. Runtime Manager masks the value

D.   Runtime Manager masks the value

Explanation:

In the given XML snippet, the value is defined inside :

This means the property tls.keyStore.password is marked as secure. When this app is deployed to CloudHub 2.0, Mule runtime and Anypoint Runtime Manager handle these secure properties carefully.

In CloudHub 2.0, secure properties:

➜ Are not visible in plaintext in Runtime Manager
➜ Are automatically masked in logs, monitoring tools, and configuration screens
➜ Must be injected as environment variables or stored as secure properties

So, the Mule Maven Plugin will deploy the app, but Anypoint Runtime Manager is the one that masks the value in the UI and logs.

❌ Why others are wrong:

A. CloudHub encrypts the value
🔸 Incorrect: CloudHub doesn't handle encryption at this level. Encryption might occur in storage but masking is what happens in the UI.

B. The Mule server encrypts the value
🔸 Incorrect: Mule runtime may use secure property placeholders, but it doesn't encrypt them — it simply prevents exposure in logs.

C. Anypoint Studio secures the value
🔸 Incorrect: Studio helps during local development, but this question concerns deployment via Mule Maven Plugin to CloudHub 2.0.

Reference:
MuleSoft Docs – Secure Configuration Properties
CloudHub 2.0 - Secure Property Masking

A new Mule project has been created in Anypoint Studio with the default settings. Which file inside the Mule project must be modified before using Maven to successfully deploy the application?

A. Settings.xml

B. Config.yaml

C. Pom.xml

D. Mule.artificact.json

C.   Pom.xml

Explanation:

When you create a Mule project in Anypoint Studio, it includes a default pom.xml (Maven Project Object Model file). Before using Maven to deploy the app (e.g., to CloudHub, on-prem, or Runtime Fabric), you must:

➤ Define groupId, artifactId, version
➤ Add or configure Mule Maven Plugin
➤ Add repositories and dependencies if needed
➤ Include deployment configuration (for CloudHub, RTF, etc.)

Without a valid pom.xml, Maven commands like mvn deploy or mvn package will fail.

❌ Why others are wrong:

A. settings.xml
🔸 Incorrect: This is a user-level Maven config file, typically in ~/.m2/, not inside the Mule project. It's not required to edit this for basic deployment.

B. config.yaml
🔸 Incorrect: Not a default file in Mule projects. Might be used for custom configurations, but not related to Maven deployment.

D. mule-artifact.json
🔸 Incorrect: Contains app metadata (name, minMuleVersion, secure properties), but not related to Maven or deployment process directly.

🔗 Reference:
MuleSoft - Mule Maven Plugin Guide
pom.xml Structure in Mule

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 queuesthat have been consumed?

A. For nay type of queue, the message will be processed after the system comes online

B. For persistent queues, the message will be processed after the system comes online

C. For transient queues, the message will be processed after the system comes online

D. For any type of queue, the message will be lost

B.   For persistent queues, the message will be processed after the system comes online

Explanation:

In Mule applications, the VM connector is used for inter-flow communication. It supports queues to pass messages asynchronously between flows in the same Mule runtime. There are two types of VM queues: transient and persistent.

➡️ A persistent VM queue writes messages to disk. This means if the Mule runtime shuts down or crashes, the queued messages are not lost. Once the system is back online, Mule will continue processing the messages from where it left off.
➡️ In contrast, a transient VM queue stores messages only in memory. These messages are lost immediately if the system fails or is restarted.

So, to ensure message reliability across restarts or system failures, developers must explicitly configure the VM queue to be persistent. By default, VM queues are transient unless configured otherwise.

❌ Incorrect Options:

A. For any type of queue, the message will be processed after the system comes online
This is incorrect because transient queues lose messages during failure. Only persistent queues guarantee message survival.

C. For transient queues, the message will be processed after the system comes online
Wrong — transient queues are in-memory only and are not durable. Messages in them will not survive a crash or restart.

D. For any type of queue, the message will be lost
Also incorrect — persistent queues store messages on disk, so they will be processed once the system recovers.

🔗 Reference:
MuleSoft Docs → VM Connector
MuleSoft → Persistent vs Transient Queues

When a client and server are exchanging messages during the mTLS handshake, what is being agreed on during the cipher suite exchange?

A. A protocol

B. The TLS version

C. An encryption algorithm

D. The Public key format

C.   An encryption algorithm

Explanation:

During the mTLS (mutual TLS) handshake, the cipher suite exchange is the process where the client and server negotiate a set of cryptographic algorithms to secure the communication. A cipher suite specifies the encryption algorithm (e.g., AES), key exchange method (e.g., RSA, ECDHE), authentication mechanism (e.g., ECDSA), and message authentication code (e.g., SHA256). The client sends a list of supported cipher suites in the ClientHello message, and the server selects one from the list that it supports, as part of the ServerHello message. This agreement primarily determines the encryption algorithm and related cryptographic mechanisms for the session. RFC 5246 (TLS 1.2) and RFC 8446 (TLS 1.3) define the cipher suite negotiation process, emphasizing its role in selecting encryption and related algorithms.

❌ Incorrect Answers:

❌ A. A protocol
Explanation: The cipher suite exchange does not determine the protocol (e.g., HTTP, FTP) used for communication. The protocol is determined by the application layer, independent of the TLS handshake. The cipher suite focuses on cryptographic algorithms, not the higher-level protocol. RFC 8446 (TLS 1.3) clarifies that cipher suites are about cryptographic parameters, not application protocols.

❌ B. The TLS version
Explanation: The TLS version (e.g., TLS 1.2, TLS 1.3) is negotiated separately during the handshake, typically in the ClientHello and ServerHello messages, where the client proposes supported TLS versions, and the server selects one. While the cipher suite must be compatible with the chosen TLS version, the cipher suite exchange itself does not determine the TLS version. RFC 8446 (TLS 1.3) specifies that version negotiation occurs before cipher suite selection.

❌ D. The Public key format
The public key format (e.g., RSA, ECDSA) is not directly agreed upon during the cipher suite exchange. The cipher suite includes the key exchange and authentication algorithms, which may imply the use of certain key types, but the specific format of the public key (e.g., how it is encoded in certificates) is handled during certificate exchange, not cipher suite negotiation. RFC 5246 (TLS 1.2) notes that cipher suites define algorithms, while certificate formats are governed by standards like X.509.

🧩 Summary:
Option C is correct because the cipher suite exchange in an mTLS handshake determines the encryption algorithm (along with key exchange, authentication, and message authentication mechanisms) for securing the session. Options A (protocol), B (TLS version), and D (public key format) are incorrect because they are determined outside the cipher suite negotiation, during other parts of the handshake or application layer.

🧩 References:
RFC 5246: The Transport Layer Security (TLS) Protocol Version 1.2 – Defines cipher suite negotiation as selecting encryption and related cryptographic algorithms.
RFC 8446: The Transport Layer Security (TLS) Protocol Version 1.3 – Clarifies that cipher suites specify encryption algorithms, while TLS version and certificates are handled separately.
OWASP: TLS Cipher Suite – Explains that cipher suites determine encryption, key exchange, and authentication algorithms during the TLS handshake.

Which pattern can a web API use to notify its client of state changes as soon as they occur?

A. HTTP Webhock

B. Shared database trigger

C. Schedule Event Publisher

D. ETL data load

A.   HTTP Webhock

Explanation:

✅ Correct Answer: A. HTTP Webhook
A web API can use HTTP Webhooks to notify clients of state changes immediately as they happen. Webhooks work by allowing the client to register a callback URL with the API. When a relevant event or state change occurs (e.g., a new record is created or updated), the API sends an HTTP POST request to the registered URL, delivering real-time notifications. This push-based mechanism is ideal for asynchronous, event-driven communication and is widely used in modern APIs for instant updates. For example, the Webhooks section in REST API design best practices (as described in resources like the REST API Design Rulebook) emphasizes webhooks as a standard pattern for real-time event notifications.

Incorrect Answers:

❌ B. Shared database trigger
A shared database trigger involves a client monitoring a database for changes using triggers (e.g., SQL triggers that execute on data changes). While this can detect state changes, it requires the client to have direct access to the API’s database, which violates API encapsulation principles and is not a standard web API notification pattern. It’s also less immediate and more resource-intensive than webhooks. API design guidelines, such as those in MuleSoft’s API-led connectivity documentation, favor webhooks over database-level access for notifications.

❌ C. Schedule Event Publisher
A Schedule Event Publisher relies on periodic polling or scheduled tasks to check for state changes and publish events. This approach is not immediate, as it depends on the polling interval, making it unsuitable for notifying clients “as soon as” changes occur. Event-driven architecture principles, as outlined in resources like Martin Fowler’s writings on event-driven systems, highlight that scheduled publishing lacks the real-time responsiveness of webhooks.

❌ D. ETL data load
ETL (Extract, Transform, Load) data load processes are designed for batch data processing, not real-time notifications. They extract data, transform it, and load it into a target system on a schedule or in bulk, which does not support immediate state change notifications. ETL is typically used for data integration, not event-driven communication, as noted in data integration patterns documented in MuleSoft’s Anypoint Platform resources.

Summary:
Option A is correct because HTTP Webhooks enable a web API to notify clients instantly of state changes by sending HTTP requests to registered callback URLs. Options B (shared database trigger), C (schedule event publisher), and D (ETL data load) are incorrect because they either don’t support real-time notifications, violate API design principles, or are meant for batch processing rather than immediate event-driven communication.

ℹ️ References:
REST API Design Rulebook (O’Reilly) – Describes webhooks as a standard mechanism for real-time event notifications in APIs.
MuleSoft Documentation: Event-Driven APIs – Highlights webhooks as a preferred pattern for notifying clients of state changes.
Martin Fowler: Event-Driven Architecture – Contrasts polling-based systems (like scheduled publishers) with push-based systems like webhooks for real-time notifications.

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