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| Section | Objectives |
|---|---|
| Topic 1: Anypoint Platform Development | - Mule application development - Anypoint Studio usage and project structure |
| Topic 2: Security and Governance | - API policies and security enforcement - Authentication and authorization mechanisms |
| Topic 3: Error Handling and Troubleshooting | - Exception handling strategies in Mule applications - Debugging and logging techniques |
| Topic 4: Deployment and Testing | - Unit testing and integration testing approaches - Deployment strategies across environments |
| Topic 5: DataWeave and Data Transformation | - Mapping, filtering, and payload manipulation - DataWeave scripting and transformations |
| Topic 6: Integration and API-led Connectivity | - System, Process, and Experience APIs design - API-led connectivity principles |
>> Mule-Dev-301 Valid Test Notes <<
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NEW QUESTION # 43
A mule application exposes and API for creating payments. An Operations team wants to ensure that the Payment API is up and running at all times in production.
Which approach should be used to test that the payment API is working in production?
Answer: A
Explanation:
To test that the payment API is working in production, the developer should create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API. This way, the developer can isolate the health check endpoint from the API traffic and avoid affecting the performance or availability of the API. The health check endpoint should return a simple response that indicates the status of the API, such as OK or ERROR. Reference: https://docs.mulesoft.com/api-functional-monitoring/afm-create-monitor#create-a-monitor
NEW QUESTION # 44
An API has been developed and deployed to CloudHub Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?
Answer: D
Explanation:
To run a test locally without the policies applied, the developer should create a properties file specifically for local development and set the API instance ID to a value that is not used in API Manager. This way, the developer can use different configuration properties for different environments and avoid triggering API autodiscovery when running tests locally. API autodiscovery is a mechanism that associates an API implementation with its corresponding API specification and policies in API Manager based on its API instance ID. By setting this ID to a value that does not exist in API Manager, the developer can prevent API autodiscovery from finding and applying any policies to the local test. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#configuring-api-autodiscovery https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties
NEW QUESTION # 45
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: B
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 # 46
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 # 47
A Mule application includes a subflow containing a Scatter.Gather scope. Within each log of the Scatter.Gatter. an HTTP connector calls a PUT endpoint to modify records in different upstream system. The subflow is called inside an Unit successful scope to retry if a transitory exception is raised.
A technical spike is being performed to increase reliability of the Mule application.
Which steps should be performed within the Mule flow above the ensure idempontent behavior?
Answer: B
Explanation:
To ensure idempotent behavior within a Mule flow that contains a subflow with a Scatter-Gather scope, the developer should ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails. Idempotency means that multiple identical requests have the same effect as a single request. Therefore, if one of the HTTP requests inside the Scatter-Gather fails, the error-handling flow should undo any changes made by other successful requests to ensure consistency and avoid partial updates. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/error-handling
NEW QUESTION # 48
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