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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Expose health check endpoints - Monitor applications and runtimes - Implement message correlation - Implement logging and log management |
| Topic 2: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Create reusable libraries - Modularize applications and builds - Implement automated deployment - Execute tests with Maven - Build custom policies and processors |
| Topic 3: Secure Data at Rest and in Transit | 20% | - Expose and invoke APIs over HTTPS - Implement security policies - Manage keys and certificates - Manage secure environment properties |
| Topic 4: Implement Performant and Reliable Mule Applications | 27% | - Optimize performance and throughput - Handle HTTP API invocations and errors - Validate messages and payloads - Use ObjectStore for persistence - Implement reliable messaging patterns |
| Topic 5: Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement API autodiscovery - Implement HTTP callbacks/webhooks |
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NEW QUESTION # 34
A Mule application for processing orders must log the order ID for every log message output.
What is a best practice to enrich every log message with the order ID?
Answer: C
Explanation:
To enrich every log message with the order ID, the developer should use the Tracing module to set logging variables with a Mapped Diagnostic Context (MDC). The Tracing module allows adding custom key-value pairs to log messages using MDC variables. The developer can use Set Logging Variables operation to set the order ID as an MDC variable and then use it in any logger processor within the same thread or event. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#set-logging-variables
NEW QUESTION # 35
A Mule application uses API autodiscovery to access and enforce policies for a RESTful implementation.
Answer: C
Explanation:
To use API autodiscovery to access and enforce policies for a RESTful implementation, flowRef must be set to the name of the flow that has HTTP listener to receive all incoming RESTful operation requests. This way, API autodiscovery can identify the API implementation and associate it with the corresponding API specification and policies in API Manager. The flow that has HTTP listener is usually the main flow that contains the APIKit Router. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#flowref
NEW QUESTION # 36
Which pattern can a web API use to notify its client of state changes as soon as they occur?
Answer: C
Explanation:
A web API can use HTTP Webhook to notify its client of state changes as soon as they occur. A webhook is an HTTP callback that allows an API to send real-time notifications to another system or application when an event happens. The client registers a URL with the API where it wants to receive notifications, and then the API sends an HTTP request to that URL with information about the event. Reference: https://docs.mulesoft.com/connectors/webhook/webhook-connector
NEW QUESTION # 37
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?
Answer: C
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. Reference: https://docs.mulesoft.com/mule-runtime/4.3/deployment-strategies#readiness-probes
NEW QUESTION # 38
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?
Answer: B
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. Reference: https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept
NEW QUESTION # 39
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