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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Monitor applications and runtimes - Expose health check endpoints - Implement message correlation - Implement logging and log management |
| Topic 2: Design and Implement API-led Connectivity | 13% | - Implement API autodiscovery - Implement HTTP callbacks/webhooks - Implement server-side caching |
| Topic 3: Implement Performant and Reliable Mule Applications | 27% | - Optimize performance and throughput - Validate messages and payloads - Use ObjectStore for persistence - Handle HTTP API invocations and errors - Implement reliable messaging patterns |
| Topic 4: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Create reusable libraries - Execute tests with Maven - Modularize applications and builds - Implement automated deployment - Build custom policies and processors |
| Topic 5: Secure Data at Rest and in Transit | 20% | - Expose and invoke APIs over HTTPS - Manage secure environment properties - Implement security policies - Manage keys and certificates |
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NEW QUESTION # 59
Refer to the exhibit.
What action must be performed to log all the errors raised by the VM Connector?
Answer: B
Explanation:
To log all the errors raised by the VM Connector, the developer needs to add an async logger with the name 'org.mule.extension.vm' and the level 'ERROR' inside the appenders tag of the log4j2.xml file. This will enable logging all error-level events generated by the VM Connector to the console appender. Reference: https://docs.mulesoft.com/mule-runtime/4.3/logging-in-mule#configuring-custom-logging-settings
NEW QUESTION # 60
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:
Answer: B
Explanation:
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
NEW QUESTION # 61
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?
Answer: C
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. Reference: https://docs.mulesoft.com/json-module/1.1/json-validate-schema
NEW QUESTION # 62
Mule application A is deployed to CloudHub and is using Object Store v2. Mute application B is also deployed to CloudHub.
Which approach can Mule application B use to remove values from Mule application A'S Object Store?
Answer: D
Explanation:
To remove values from Mule application A's Object Store v2, Mule application B can use Object Store v2 REST API. This API allows performing operations on Object Store v2 resources using HTTP methods, such as GET, POST, PUT, and DELETE. Mule application B can use the DELETE method to remove values from Mule application A's Object Store v2 by specifying the object store ID and the key of the value to delete. Reference: https://docs.mulesoft.com/object-store/osv2-apis
NEW QUESTION # 63
A developer deploys an API to CloudHub and applies an OAuth policy on API Manager. During testing, the API response is slow, so the developer reconfigures the API so that the out-of-the-box HTTP Caching policy is applied first, and the OAuth API policy is applied second.
What will happen when an HTTP request is received?
Answer: A
Explanation:
When an HTTP request is received and the HTTP Caching policy is applied first, it checks if there is a cached response for that request in Object Store. If there is a cache hit, meaning that a valid cached response exists, then only the HTTP Caching policy is evaluated and the cached response is returned to the caller without invoking the OAuth policy or the API implementation. If there is a cache miss, meaning that no valid cached response exists, then both the HTTP Caching policy and the OAuth policy are evaluated before invoking the API implementation. Reference: https://docs.mulesoft.com/api-manager/2.x/http-caching-policy#policy-ordering
NEW QUESTION # 64
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