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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Implement message correlation - Monitor applications and runtimes - Implement logging and log management - Expose health check endpoints |
| Topic 2: Implement Performant and Reliable Mule Applications | 27% | - Use ObjectStore for persistence - Validate messages and payloads - Handle HTTP API invocations and errors - Implement reliable messaging patterns - Optimize performance and throughput |
| Topic 3: Secure Data at Rest and in Transit | 20% | - Expose and invoke APIs over HTTPS - Manage secure environment properties - Implement security policies - Manage keys and certificates |
| Topic 4: 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 |
| Topic 5: Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement API autodiscovery - Implement HTTP callbacks/webhooks |
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NEW QUESTION # 40
A healthcare customer wants to use hospital system data, which includes code that was developed using legacy tools and methods. The customer has created reusable Java libraries in order to read the data from the system.
What is the most effective way to develop an API to retrieve the data from the hospital system?
Answer: A
Explanation:
Reusable Java libraries should be managed as Maven dependencies, not manually embedded or referenced through arbitrary filesystem locations. Installing the legacy library artifacts into an accessible Maven repository and declaring their Maven coordinates in the application's pom.xml gives the Mule project a deterministic and maintainable dependency model.
Mule applications use Maven as their build/dependency-management mechanism. MuleSoft's external-library guidance supports adding dependencies through Maven coordinates or local library artifacts, with those dependencies represented in the project's POM. This enables consistent resolution during development and CI
/CD builds and avoids environment-specific hard-coded JAR paths.
Directly referring to JAR files from application code creates brittle coupling to local filesystem structure.
Supplying libraries manually only at deployment time also weakens reproducibility because the application build no longer fully declares its dependencies. Re-creating existing Java integration logic within every Mule application defeats reuse and adds unnecessary maintenance.
Once the Java library is available as a Maven dependency, the Mule Java Module or an appropriate custom module can invoke its functionality while Maven manages versioning and packaging.
Reference topics: Maven dependency management; reusable Java libraries; external libraries; pom.xml; Java Module integration.
Official documentation: https://docs.mulesoft.com/anypoint-code-builder/acb-external-libraries
NEW QUESTION # 41
When a client and server are exchanging messages during the mTLS handshake, what is being agreed on during the cipher suite exchange?
Answer: B
Explanation:
A TLS cipher suite defines the cryptographic algorithms that the communicating parties use to protect the connection. During TLS negotiation, the client advertises cipher suites that it supports and the server selects a mutually supported suite according to the protocol version and its security configuration.
In TLS 1.2 and earlier, a cipher-suite name can identify several cryptographic components, including key- exchange/authentication mechanisms, the symmetric encryption algorithm, and integrity protection. TLS 1.3 expresses cipher suites differently, but the negotiated suite still determines the authenticated-encryption algorithm used to protect application traffic. MuleSoft's TLS documentation exposes cipher-suite configuration directly, including suites based on AES-GCM and ChaCha20-Poly1305.
The TLS protocol version is negotiated as part of the broader handshake but is conceptually distinct from choosing a cipher suite. Likewise, a public-key format is not what the cipher-suite exchange fundamentally selects, and "a protocol" is too general.
Among the provided choices, an encryption algorithm is therefore the technically correct description of what the cipher-suite negotiation establishes for protecting the session.
Reference topics: TLS handshake; cipher suites; symmetric encryption; AES-GCM; mTLS cryptographic negotiation.
Official documentation: https://docs.mulesoft.com/anypoint-security/cipher-suites
NEW QUESTION # 42
Two APIs are deployed to a two-node on-prem cluster. Due to a requirements change, the two APIs must communicate to exchange data asynchronously.
How can this be solved?
Answer: B
Explanation:
VM Connector supports both intra-application and inter-application asynchronous communication. MuleSoft specifically documents that two different Mule applications can publish to and consume from the same VM queue when both applications are part of the same Mule domain and reference the shared VM configuration.
The fact that the applications are deployed to a two-node Mule cluster does not prevent use of VM Connector.
In cluster mode, VM queues are cluster-wide resources. Mule's cluster synchronizes access, and messages placed on a VM queue can be processed by another node in the cluster. MuleSoft identifies this as a supported mechanism for distributing asynchronous work across clustered runtime instances.
Therefore, option B is incorrect: each node does not operate an entirely isolated VM queue namespace for a shared clustered configuration. Option D also contradicts VM Connector's documented inter-application use case.
The required architectural condition is that both applications use the same domain/shared VM configuration so they can reference the same queue. The publisher can then send asynchronously while the second API consumes from the shared VM queue.
Reference topics: VM Connector; Mule domains; inter-application communication; persistent/transient queues; Mule HA clustering.
Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-publish-across-apps Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-reference
NEW QUESTION # 43
Refer to the exhibits.
A Mule application's pom.xml configures the Maven Resources plugin to exclude parsing binary files in the project's src/main/resources/certs directory.
Which configuration of this plugin achieves a successful build?
Exhibits - Options A and B:
Exhibits - Options C and D:
Answer: A
Explanation:
Resource filtering is designed primarily for textual resources in which Maven substitutes property expressions. Binary files such as PKCS#12 keystores and certificate files must not be passed through text filtering because filtering can corrupt their binary representation.
The Maven Resources Plugin provides the dedicated configuration element nonFilteredFileExtensions. Each additional extension is declared using a nested nonFilteredFileExtension. The plugin documentation specifically defines this parameter as the list of additional file extensions to which filtering must not be applied.
Option C correctly uses the documented structure:
< nonFilteredFileExtensions >
< nonFilteredFileExtension > p12 < /nonFilteredFileExtension >
< nonFilteredFileExtension > crt < /nonFilteredFileExtension >
< nonFilteredFileExtension > pem < /nonFilteredFileExtension >
< /nonFilteredFileExtensions >
This is important because the application's normal resource configuration can still use < filtering > true <
/filtering > for textual files while Maven leaves the listed certificate/keystore formats untouched.
The alternative constructs visible in the other exhibits, such as excludeFileExtensions or excludeBinaryFiles, are not the Maven Resources Plugin parameter used for this purpose.
Reference topics: Maven Resources Plugin; resource filtering; binary resources; nonFilteredFileExtensions; Mule Maven builds.
Official documentation: https://maven.apache.org/plugins/maven-resources-plugin/resources-mojo.html
NEW QUESTION # 44
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?
Answer: C
Explanation:
To temporarily persist large files over 10MB between flow executions, and routinely query whether the file data exists on separate executions, the developer should store the contents of the file on separate storage, and store the key and location of the file object using Object Store v2. This way, the developer can avoid storing large files in memory or exceeding the size limit of Object Store v2 (10MB per object). The developer can also use Object Store v2 operations to query, retrieve, or delete the file object by its key. Reference: https://docs.mulesoft.com/object-store/osv2-faq#can-i-store-files-in-object-store-v2
NEW QUESTION # 45
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