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| Section | Weight | Objectives |
|---|---|---|
| Implement Performant and Reliable Mule Applications | 27% | - Handle HTTP API invocations and errors - Optimize performance and throughput - Use ObjectStore for persistence - Validate messages and payloads - Implement reliable messaging patterns |
| Secure Data at Rest and in Transit | 20% | - Implement security policies - Manage keys and certificates - Manage secure environment properties - Expose and invoke APIs over HTTPS |
| Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement HTTP callbacks/webhooks - Implement API autodiscovery |
| Implement Monitorable Mule Applications | 15% | - Expose health check endpoints - Implement logging and log management - Implement message correlation - Monitor applications and runtimes |
| Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Implement automated deployment - Modularize applications and builds - Create reusable libraries - Build custom policies and processors - Execute tests with Maven |
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問題 #38
A custom policy needs to be developed to intercept all cutbound HTTP requests made by Mule applications.
Which XML element must be used to intercept outbound HTTP requests?
答案:D
解題說明:
The http-policy:processor element is used to intercept outbound HTTP requests made by Mule applications. It allows customizing the request before it is sent to the target API and modifying the response after it is received from the target API. Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule4-custom-policy#policy-xml-file
問題 #39
Refer to the exhibits.
A Mule application contains two policies: Policy A and Policy B. Policy A has order 1, and Policy B has order 2. Policy A, Policy B, and a flow are defined by the configurations below.
When an HTTP request arrives at the Mule application's endpoint, what will be the execution order?
Exhibit:
答案:A
解題說明:
Mule Gateway source policies behave as nested interceptors around the application flow. Policy order determines the sequence in which the request-side portions execute. Because Policy A has order 1 and Policy B has order 2, Policy A is entered first. Therefore, A1 executes before Mule reaches Policy A's http-policy:
execute-next.
The execute-next instruction transfers control to the next policy, so Policy B begins and executes B1. Policy B's own execute-next then transfers control into the application flow, where F1 executes.
After the application flow completes, processing unwinds in reverse order. Control first returns to Policy B, causing B2 to execute. It then returns to Policy A, where A2 executes. The complete sequence is therefore A1
# B1 # F1 # B2 # A2.
MuleSoft's Custom Policy Development Reference documents this exact execution model, including an example with policies A and B using precisely the same order and execute-next arrangement. The policy with the lower order executes its inbound section first, while post-processing executes in reverse nesting order.
Reference topics: Mule Gateway Custom Policies; Source Policy Execution; http-policy:execute-next; Policy Ordering.
Official documentation: https://docs.mulesoft.com/mule-gateway/policies-custom-mule-4-reference
問題 #40
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?
答案:B
解題說明:
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
問題 #41
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?
答案:B
解題說明:
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. Reference: https://docs.mulesoft.com/object-store/osv2-faq#can-i-store-files-in-object-store-v2
問題 #42
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?
答案:B
解題說明:
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
問題 #43
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