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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Monitor applications and runtimes - Expose health check endpoints - Implement message correlation - Implement logging and log management |
| Topic 2: Secure Data at Rest and in Transit | 20% | - Manage keys and certificates - Implement security policies - Manage secure environment properties - Expose and invoke APIs over HTTPS |
| Topic 3: Implement Performant and Reliable Mule Applications | 27% | - Optimize performance and throughput - Implement reliable messaging patterns - Handle HTTP API invocations and errors - Use ObjectStore for persistence - Validate messages and payloads |
| Topic 4: Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement API autodiscovery - Implement HTTP callbacks/webhooks |
| Topic 5: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Create reusable libraries - Implement automated deployment - Execute tests with Maven - Build custom policies and processors - Modularize applications and builds |
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NEW QUESTION # 22
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?
Answer: D
Explanation:
To use Maven to successfully deploy the application, the developer needs to modify the pom.xml file inside the Mule project. The pom.xml file contains the configuration and dependencies of the Mule application, as well as the deployment information such as the CloudHub region, environment, and worker size. The developer needs to specify these properties in the pom.xml file before using Maven to deploy the application. Reference: https://docs.mulesoft.com/mule-runtime/4.3/mmp-concept#application-deployment-descriptor
NEW QUESTION # 23
A mule application exposes and API for creating payments. An Operations team wants to ensure that the Payment API is up and running at all times in production.
Which approach should be used to test that the payment API is working in production?
Answer: B
Explanation:
To test that the payment API is working in production, the developer should create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API. This way, the developer can isolate the health check endpoint from the API traffic and avoid affecting the performance or availability of the API. The health check endpoint should return a simple response that indicates the status of the API, such as OK or ERROR. Reference: https://docs.mulesoft.com/api-functional-monitoring/afm-create-monitor#create-a-monitor
NEW QUESTION # 24
A Mule application includes a subflow containing a Scatter-Gather scope. Within each leg of the Scatter- Gather, an HTTP connector calls a PUT endpoint to modify records in different upstream systems. The subflow is called from inside an Until Successful scope to retry if a transient exception is raised.
A technical spike is being performed to increase reliability of the Mule application.
Which steps should be performed within the Mule flow above to ensure idempotent behavior?
Answer: B
Explanation:
The relevant property is the HTTP semantics of PUT. PUT is designed to be idempotent: repeating the same request against the same resource should establish the same intended resource state rather than repeatedly creating additional side effects. This characteristic makes PUT appropriate when an Until Successful scope might retransmit an operation following a transient failure.
For example, the downstream system might process the initial PUT successfully but the Mule application might experience a network error before receiving the response. Until Successful could therefore invoke the same PUT again. Provided the upstream APIs correctly implement standard PUT semantics, repeating the same modification produces the intended final state rather than duplicating the operation.
Changing PUT to POST would generally make the design less suitable because POST is not inherently idempotent. Executing the operations sequentially changes concurrency but does not itself establish idempotency. Compensating transactions address distributed rollback and consistency when independent operations partially succeed; they are a different reliability concern from idempotent retry behavior.
MuleSoft documents Until Successful as retrying the contained processors until they succeed or retries are exhausted.
Therefore, under the REST/HTTP semantics assumed by the question, no additional Mule processing is required.
Reference topics: Until Successful; idempotent operations; HTTP PUT semantics; reliable retries; Scatter- Gather.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/until-successful-scope
NEW QUESTION # 25
A healthcare portal needs to validate the token that it sends to a Mule API. The developer plans to implement a custom policy using the HTTP Policy Transform Extension to match the token received in the header from the heathcare portal.
Which files does the developer need to create in order to package the custom policy?
Answer: B
Explanation:
To package a custom policy using the HTTP Policy Transform Extension, the developer needs to create an XML template file and a YAML configuration file. The XML template file defines the policy logic using Mule components and placeholders for user-defined properties. The YAML configuration file defines the metadata of the policy, such as its name, description, category, parameters, and dependencies. Reference: https://docs.mulesoft.com/api-manager/2.x/http-policy-transform#packaging-the-policy
NEW QUESTION # 26
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: D
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 # 27
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