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| Section | Weight | Objectives |
|---|---|---|
| Implement Performant and Reliable Mule Applications | 27% | - Use ObjectStore for persistence - Validate messages and payloads - Optimize performance and throughput - Handle HTTP API invocations and errors - Implement reliable messaging patterns |
| Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement API autodiscovery - Implement HTTP callbacks/webhooks |
| Implement Monitorable Mule Applications | 15% | - Implement logging and log management - Expose health check endpoints - Monitor applications and runtimes - Implement message correlation |
| Secure Data at Rest and in Transit | 20% | - Expose and invoke APIs over HTTPS - Manage secure environment properties - Manage keys and certificates - Implement security policies |
| Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Modularize applications and builds - Implement automated deployment - Execute tests with Maven - Build custom policies and processors - Create reusable libraries |
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NEW QUESTION # 24
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 # 25
Refer to the exhibit.
A Mute Object Store is configured with an entry TTL of one second and an expiration interval of 30 seconds.
What is the result of the flow if processing between os'store and os:retrieve takes 10 seconds?
Answer: D
Explanation:
The result of the flow is nullPayload if processing between os:store and os:retrieve takes 10 seconds. This is because the entry TTL of the object store is one second, which means that any stored value expires after one second and is removed from the object store. The expiration interval of 30 seconds only determines how often the object store checks for expired values, but it does not affect the TTL. Therefore, when os:retrieve tries to get the value after 10 seconds, it returns nullPayload because the value has already expired and been removed. Reference: https://docs.mulesoft.com/object-store/osv2-faq#how-does-the-time-to-live-work
NEW QUESTION # 26
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:
Object Store v2 is suitable for distributed key/value state that must be available across CloudHub executions and replicas, but it should not be used to hold the complete contents of files larger than its per-value limit.
MuleSoft documents that an Object Store v2 value is limited to 10 MB, while the overall store does not have a fixed aggregate size limit.
The appropriate architecture is therefore to persist the binary file itself in storage designed for large objects- for example, a durable external object/blob storage service-and store only lightweight metadata in Object Store v2. That metadata can include the object's storage key, URI/location, status, or other lookup information. Subsequent flow executions can query Object Store v2 to determine whether the object exists and then retrieve the actual file from the external storage system.
An in-memory Object Store is inappropriate because application replicas do not provide a durable shared in- memory persistence model for this requirement. Storing the entire file directly in Object Store violates the 10 MB value constraint. Local file-based storage is also unsuitable as a cross-replica CloudHub persistence mechanism.
Reference topics: Object Store v2 limits; CloudHub replicas; distributed persistence; external object storage; key/location metadata.
Official documentation: https://docs.mulesoft.com/object-store/osv2-faq
NEW QUESTION # 27
A company has been using CI/CD. Its developers use Maven to handle build and deployment activities.
What is the correct sequence of activities that takes place during the Maven build and deployment?
Answer: D
Explanation:
The correct sequence of activities that takes place during the Maven build and deployment is validate, initialize, compile, test package, verify, install, deploy. These are Maven lifecycle phases that define a sequence of goals to execute during a build process. Each phase represents a stage in the build lifecycle and can have zero or more goals bound to it. Reference: https://maven.apache.org/guides/introduction/introduction-to-the-lifecycle.html
NEW QUESTION # 28
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: D
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 # 29
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