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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Performant and Reliable Mule Applications | 27% | - Validate messages and payloads - Use ObjectStore for persistence - Implement reliable messaging patterns - Handle HTTP API invocations and errors - Optimize performance and throughput |
| Topic 2: Secure Data at Rest and in Transit | 20% | - Implement security policies - Manage secure environment properties - Expose and invoke APIs over HTTPS - Manage keys and certificates |
| Topic 3: Design and Implement API-led Connectivity | 13% | - Implement HTTP callbacks/webhooks - Implement API autodiscovery - Implement server-side caching |
| Topic 4: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Modularize applications and builds - Create reusable libraries - Execute tests with Maven - Implement automated deployment - Build custom policies and processors |
| Topic 5: Implement Monitorable Mule Applications | 15% | - Monitor applications and runtimes - Implement message correlation - Implement logging and log management - Expose health check endpoints |
>> Mule-Dev-301 Reliable Practice Questions <<
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NEW QUESTION # 30
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: D
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 # 31
A company deploys 10 public APIs to CloudHub. Each API has its own 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: A
Explanation:
API Functional Monitoring permits a monitor to contain tests against one or more endpoints, including endpoints belonging to multiple public APIs. A schedule determines where and how frequently the monitor executes. Consequently, there is no technical requirement to create ten independent schedules simply because ten APIs have individual health endpoints.
Because all ten APIs are public and accessible from the internet, a public location is sufficient. A private location is primarily useful when the monitored endpoints are accessible only through a private network or when specific private-network connectivity requirements exist. Creating a private location would introduce unnecessary deployment and operational overhead in this scenario.
The most efficient design is therefore to place the ten health checks in a single monitor/test suite and associate that monitor with one schedule running from one public location. MuleSoft documentation explicitly shows that a single monitor can test endpoints belonging to multiple public APIs, while a single schedule is associated with a location and execution interval. This reduces schedule consumption and management complexity.
Reference topics: API Functional Monitoring; Public Locations; Monitor Tests and Schedules; Monitoring Public APIs.
Official documentation: https://docs.mulesoft.com/api-functional-monitoring/afm-monitoring-public-apis
NEW QUESTION # 32
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: D
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 # 33
Which type of cache invalidation does the Cache scope support without having to write any additional code?
Answer: B
Explanation:
Mule's Cache scope is backed by a caching strategy, commonly using an Object Store. The caching strategy can directly configure expiration characteristics, including entry time to live (TTL). Once the TTL expires and the corresponding expiration processing occurs, cached entries are removed according to the configured Object Store policy without requiring application-specific invalidation logic.
MuleSoft's cache strategy documentation shows that the Object Store used by a caching strategy can define values such as entryTtl, expirationInterval, and maximum entries. A Cache component can then reference that strategy and automatically use those expiration settings.
Write-through and write-behind describe cache/database synchronization strategies in which cache updates are coordinated with writes to an underlying persistent data source. Mule's standard Cache scope does not automatically implement those patterns as an invalidation mode. Notification-based invalidation would similarly require external notification logic or explicit Mule processing to identify and invalidate affected keys.
TTL requires no such custom invalidation workflow. The developer establishes the lifetime when configuring the caching Object Store, after which Mule manages expiration automatically.
Therefore, Time to live is the cache invalidation mechanism directly available through standard Cache scope configuration.
Reference topics: Cache Scope; Object Store Caching Strategy; entryTtl; expirationInterval; automatic cache expiration.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/cache-scope-strategy
NEW QUESTION # 34
Refer to the exhibit.
What is the result if ''Insecure'' selected as part of the HTTP Listener configuration?
Answer: D
Explanation:
Based on the exhibit below, if 'Insecure' is selected as part of the HTTP Listener configuration, the HTTP listener will only accept HTTP requests. This means that no TLS context will be configured for this listener and no encryption or authentication will be applied to incoming requests. The protocol attribute of this listener will be set to HTTP instead of HTTPS. Reference: https://docs.mulesoft.com/http-connector/1.6/http-listener-ref#insecure
NEW QUESTION # 35
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