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| Section | Objectives |
|---|---|
| Anypoint Platform Development | - Anypoint Studio usage and project structure - Mule application development |
| Deployment and Testing | - Deployment strategies across environments - Unit testing and integration testing approaches |
| Error Handling and Troubleshooting | - Debugging and logging techniques - Exception handling strategies in Mule applications |
| Integration and API-led Connectivity | - System, Process, and Experience APIs design - API-led connectivity principles |
| DataWeave and Data Transformation | - Mapping, filtering, and payload manipulation - DataWeave scripting and transformations |
| Security and Governance | - Authentication and authorization mechanisms - API policies and security enforcement |
>> Mule-Dev-301 Exam Answers <<
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NEW QUESTION # 42
Refer to the exhibit.
What is the result if "Insecure" is selected as part of the HTTP Listener configuration?
Exhibit:
Answer: B
Explanation:
The Insecure setting belongs to Mule's TLS truststore configuration. MuleSoft defines the insecure property as a Boolean that determines whether truststore validation is performed. When insecure="true", Mule stops performing certificate validation.
For an HTTP Listener operating as the TLS server, the truststore is used when validating certificates supplied by connecting clients. Therefore, disabling truststore validation means the listener does not enforce normal trust verification against the configured certificate authorities; effectively, certificates presented by HTTP clients are trusted without the standard certificate-chain validation represented by the truststore. This corresponds to option A.
Selecting Insecure does not convert HTTPS into plain HTTP, so option B is incorrect. It also does not itself enable mutual TLS. Full mutual TLS requires appropriate server key material and client-certificate authentication/trust configuration. Likewise, "Insecure" specifically concerns certificate validation; it should not be interpreted as a generic instruction to bypass every possible authentication mechanism applied to the API.
MuleSoft explicitly warns that this option creates a security vulnerability and is appropriate only for development or prototyping, not production.
Reference topics: TLS Context; Truststore; insecure; client-certificate validation; mutual TLS.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.11/tls-configuration
NEW QUESTION # 43
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?
Answer: A
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. Reference: https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor
NEW QUESTION # 44
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?
Answer: D
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. Reference: https://docs.mulesoft.com/mule-runtime/4.3/http-listener-ref#callback
NEW QUESTION # 45
A company deploys 10 public APIs to CloudHub. Each API has its own 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?
Answer: A
Explanation:
API Functional Monitoring permits a monitor to contain tests against one or more endpoints, including endpoints belonging to multiple public APIs. A schedule determines where and how frequently the monitor executes. Consequently, there is no technical requirement to create ten independent schedules simply because ten APIs have individual health endpoints.
Because all ten APIs are public and accessible from the internet, a public location is sufficient. A private location is primarily useful when the monitored endpoints are accessible only through a private network or when specific private-network connectivity requirements exist. Creating a private location would introduce unnecessary deployment and operational overhead in this scenario.
The most efficient design is therefore to place the ten health checks in a single monitor/test suite and associate that monitor with one schedule running from one public location. MuleSoft documentation explicitly shows that a single monitor can test endpoints belonging to multiple public APIs, while a single schedule is associated with a location and execution interval. This reduces schedule consumption and management complexity.
Reference topics: API Functional Monitoring; Public Locations; Monitor Tests and Schedules; Monitoring Public APIs.
Official documentation: https://docs.mulesoft.com/api-functional-monitoring/afm-monitoring-public-apis
NEW QUESTION # 46
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: B
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 # 47
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