Question # 1 A Mule API receives a JSON payload and updates the target system with the payload. The
developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?
A. Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script,
add:
%dw 2.0
Import.json-moduls B. Using the DataWeave if Else condition test the values of the payload against the
examples included in the schema C. Apply the JSON Schema policy in API Manager and reference the correct schema in the
policy configuration D. Add the JSON module dependency and add the validate-schema operation in the flow,
configured to reference the schema
Click for Answer
D. Add the JSON module dependency and add the validate-schema operation in the flow,
configured to reference the schema
Answer Description Explanation: To validate the data before posting to the target system, the developer
should add the JSON module dependency and add the validate-schema operation in the
flow, configured to reference the schema. The JSON module provides a validate-schema
operation that validates a JSON payload against a JSON schema and throws an error if the
payload is invalid. References: https://docs.mulesoft.com/json-module/1.1/json-validateschema
Question # 2 XMLUnit A. XMLUnitB. JunitC. MUnit Extensions Maven pluginD. MUnit Maven plugin
Click for Answer
C. MUnit Extensions Maven plugin
Answer Description Explanation:
To unit test modules created with XML SDK, the developer needs to use the MUnit Extensions Maven plugin. This plugin allows testing XML SDK modules using MUnit by adding a dependency to the module under test and using a custom processor tag to invoke it. References: https://docs.mulesoft.com/mule-sdk/1.1/xml-sdk#testing
Question # 3 Which type of cache invalidation does the Cache scope support without having to write any
additional code?
A. Write-through invalidation B. White-behind invalidation C. Time to live D. Notification-based invalidation
Click for Answer
C. Time to live
Answer Description Explanation: The Cache scope supports time to live (TTL) as a cache invalidation strategy
without having to write any additional code. TTL specifies how long the cached response is
valid before it expires and needs to be refreshed. The Cache scope also supports custom
invalidation strategies using MEL or DataWeave expressions. References:
https://docs.mulesoft.com/mule-runtime/4.3/cache-scope#cache_invalidation
Question # 4 Which statement is true when working with correlation IDS? A. The HTTP Listener regenerates correlation IDs regardless of the HTTP request B. The Anypoint MQ Connector automatically propagates correlation IDS C. The HTTP Listener generates correlation IDS unless a correlation ID is received in the
HTTP request D. The VM Connector does not automatically propagate correction IDs
Click for Answer
C. The HTTP Listener generates correlation IDS unless a correlation ID is received in the
HTTP request
Answer Description Explanation: When working with correlation IDs, the HTTP Listener generates correlation
IDs unless a correlation ID is received in the HTTP request. In that case, it propagates the
received correlation ID throughout the flow execution. Correlation IDs are used to track
events across different flows or applications. References: https://docs.mulesoft.com/muleruntime/4.3/about-mule-message#message-attributes
Question # 5 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? A. Store the contents of the file on separate storage, and store the key and location of the
file Object using Object Store v2B. Use an in-memory Object Store C. Store the key and full contents of the file in an Object Store D. Store the key and full contents of the file, caching the filename and location between
requests
Click for Answer
A. Store the contents of the file on separate storage, and store the key and location of the
file Object using Object Store v2
Answer Description 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. References: https://docs.mulesoft.com/object-store/osv2-faq#can-i-store-files-inobject-store-v2
Question # 6 An order processing system is composed of multiple Mule application responsible for warehouse, sales and shipping. Each application communication using Anypoint MQ. Each message must be correlated against the original order ID for observability and tracing.
How should a developer propagate the order ID as the correlation ID across each message? A. Use the underlying HTTP request of Anypoint MQ to set the ‘X-CORRELATION_ID’ header to the order IDB. Set a custom Anypoint MQ user property to propagate the order ID and set the correlation ID in the receiving applications.C. Use the default correlation ID, Anypoint MQ will sutomatically propagate it.D. Wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID
Click for Answer
Answer Description Explanation:
To propagate the order ID as the correlation ID across each message using Anypoint MQ, the developer should wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID. The With CorrelationID scope allows setting a custom correlation ID for any event that occurs within it. The Tracing module also enables distributed tracing across different Mule applications and services using Anypoint Monitoring. References: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#with-correlation-id-scope https://docs.mulesoft.com/tracing-module/1.0/tracing-module-concepts
Question # 7 Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed
requests in sequence? A. A database as a transactional outbox and an Until Successful router to retry any
requests B. A Parallel for Each scope with each HTTP request wrapped in a Try scope C. Scatter-Gather as central Saga orchestrator for all API request with compensating
actions for failing routesD. VM queues as a reliability pattern with error handlers to roll back any requests
Click for Answer
C. Scatter-Gather as central Saga orchestrator for all API request with compensating
actions for failing routes
Answer Description Explanation: To invoke multiple HTTP APIs in parallel and roll back failed requests in
sequence, the developer should use a Scatter-Gather router as a central Saga orchestrator
for all API requests with compensating actions for failing routes. A Scatter-Gather router
executes multiple routes concurrently and aggregates the results. A Saga orchestrator
coordinates a series of actions across different services and handles failures by executing
compensating actions. Therefore, using a Scatter-Gather router as a Saga orchestrator
allows invoking multiple HTTP APIs in parallel and rolling back any failed requests in
sequence. References: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept
https://docs.mulesoft.com/mule-runtime/4.3/saga
Question # 8 A company deploys 10 public APIs to CloudHub. Each API has its 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? A. From one public location with each API in its own scheduleB. From one private location with all 10 APIs in a single scheduleC. From one public location with all 10 APIs in a single scheduleD. From 10 public locations with each API in its own schedule
Click for Answer
C. From one public location with all 10 APIs in a single schedule
Answer Description Explanation: To configure API Functional Monitoring to monitor the health of 10 public
APIs periodically while minimizing operational overhead and cost, the developer should use
one public location with all 10 APIs in a single schedule. A public location is a worker that
runs in a CloudHub shared environment, which is cheaper and easier to maintain than a
private location. A single schedule allows running all 10 APIs tests at the same time and
frequency, which reduces complexity and resource consumption. References:
https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor
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