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| Section | Objectives |
|---|---|
| Topic 1: Integration and API-led Connectivity | - API-led connectivity principles - System, Process, and Experience APIs design |
| Topic 2: DataWeave and Data Transformation | - Mapping, filtering, and payload manipulation - DataWeave scripting and transformations |
| Topic 3: Anypoint Platform Development | - Mule application development - Anypoint Studio usage and project structure |
| Topic 4: Security and Governance | - API policies and security enforcement - Authentication and authorization mechanisms |
| Topic 5: Deployment and Testing | - Deployment strategies across environments - Unit testing and integration testing approaches |
| Topic 6: Error Handling and Troubleshooting | - Debugging and logging techniques - Exception handling strategies in Mule applications |
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NEW QUESTION # 54
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 # 55
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: D
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 # 56
Refer to the exhibit.
What is the result of the Mule Maven Plugin configuration of the value of property its,keystorePassoword in CloudHub 2.0?
Answer: D
Explanation:
The result of the Mule Maven Plugin configuration of the value of property its,keystorePassword in CloudHub 2.0 is that Runtime Manager masks the value. This means that Runtime Manager hides or obscures the value from anyone who views it in Runtime Manager or Anypoint Platform. Reference: https://docs.mulesoft.com/runtime-manager/runtime-manager-agent-for-mule4#properties-tab
NEW QUESTION # 57
A company with MuleSoft Titanium develops a Salesforce System API using MuleSoft out-of-the-box Salesforce Connector and deploys the API to CloudHub.
Which steps provide the average number of requests and average response time of the Salesforce Connector?
Answer: C
Explanation:
To get the average number of requests and average response time of the Salesforce Connector, the developer should access Anypoint Monitoring's built-in dashboard, select a resource (such as an application or an API), and locate the information under the Connectors tab. The Connectors tab shows metrics for each connector used by the resource, such as average requests per minute, average response time, and failures. Reference: https://docs.mulesoft.com/monitoring/built-in-dashboard-reference
NEW QUESTION # 58
A Mule application uses API autodiscovery to access and enforce policies for a RESTful implementation.
Answer: B
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 # 59
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