Question # 1
| 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 schedule | | B. From one private location with all 10 APIs in a single schedule | | C. From one public location with all 10 APIs in a single schedule | | D. From 10 public locations with each API in its own schedule |
C. From one public location with all 10 APIs in a single schedule
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
Question # 2
| 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 ID | | B. 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 |
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 # 3
| A Mule implementation uses a HTTP Request within an Unit Successful scope to connect
to an API.
How should a permanent error response like HTTP:UNAUTHORIZED be handle inside
Until Successful to reduce latency? | | A. Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API
responds back with a successful response. | | B. In Until Successful configuration, set the retry count to 1 for error type HTTP:
UNAUTHORIZED. | | C. Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Continue to catch permanent errors like HTTP
UNAUTHORIZED. | | D. Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Propagate to catch permanent errors like HTTP
UNAUTHORIZED. |
C. Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Continue to catch permanent errors like HTTP
UNAUTHORIZED.
Explanation:
To handle a permanent error response like HTTP:UNAUTHORIZED inside
Until Successful, the developer should put the HTTP Request inside a try scope in Unit
Successful, and use On Error Continue to catch permanent errors like HTTP
UNAUTHORIZED in the error handler. This way, the developer can avoid retrying requests
that will always fail due to a permanent error, and reduce latency. On Error Continue allows
the flow to continue processing after handling the error. References:
https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope
https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept
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 |
C. The HTTP Listener generates correlation IDS unless a correlation ID is received in the
HTTP request
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 need to invoice an API hosted by an external system to initiate a
process. The external API takes anywhere between one minute and 24 hours to compute
its process.
Which implementation should be used to get response data from the external API after it
completes processing? | | A. Use an HTTP Connector to invoke the API and wait for a response | | B. Use a Scheduler to check for a response every minute | | C. Use an HTTP Connector inside Async scope to invoice the API and wait for a response | | D. Expose an HTTP callback API in Mule and register it with the external system |
D. Expose an HTTP callback API in Mule and register it with the external system
Explanation:
To get response data from the external API after it completes processing, the
developer should expose an HTTP callback API in Mule and register it with the external
system. This way, the external API can invoke the callback API with the response data
when it is ready, instead of making the Mule application wait for a long time or poll for a
response repeatedly. References: https://docs.mulesoft.com/mule-runtime/4.3/http-listenerref#callback
Question # 6
| 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. | | A. If the two APIs use the same domain, the VM Connector can be leveraged | | B. The VM Connector is used to inter-application communication, so it is not possible to use the VM Connector | | C. Instead of using the VM Connector use directly | | D. It is not possible to use the VM Connector since the APIs are running in a cluster mode and each mode has it own set of VM Queues |
A. If the two APIs use the same domain, the VM Connector can be leveraged
Explanation:
To communicate asynchronously between two APIs deployed to a two-node on-prem cluster, the developer can use the VM Connector if the two APIs use the same domain. The VM Connector allows passing messages between different Mule applications within a single Mule runtime instance or across different instances using shared memory or persistent storage. If two APIs are deployed under the same domain, they can share resources such as VM queues and communicate asynchronously using VM Connector operations.
References:
https://docs.mulesoft.com/mule-runtime/4.3/vm-connector
https://docs.mulesoft.com/mule-runtime/4.3/shared-resources
Question # 7
| A system API that communicates to an underlying MySQL database is deploying to CloudHub. The DevOps team requires a readiness endpoint to monitor all system APIs.
Which strategy should be used to implement this endpoint? | | A. Create a dedicated endpoint that responds with the API status and reachability of the underlying systems | | B. Create a dedicated endpoint that responds with the API status and health of the server | | C. Use an existing resource endpoint of the API | | D. Create a dedicated endpoint that responds with the API status only |
A. Create a dedicated endpoint that responds with the API status and reachability of the underlying systems
Explanation:
To implement a readiness endpoint to monitor all system APIs, the developer should create a dedicated endpoint that responds with the API status and reachability of the underlying systems. This way, the DevOps team can check if the system API is ready to receive requests and if it can communicate with its backend systems without errors. References: https://docs.mulesoft.com/mule-runtime/4.3/deployment-strategies#readiness-probes
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