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Salesforce Salesforce-MuleSoft-Developer-II Exam Syllabus Topics:

Topic	Details
Topic 1	Implement Performant and Reliable Mule Applications: It discusses implementing ObjectStore and ensuring fault-tolerant, performant, and traceable message passing with VM and AnypointMQ connectors. The topic also covers fault-tolerant invocations of HTTP-based APIs, validating assertions and messages.
Topic 2	Secure Data at Rest and in Transit: This topic involves implementing secure, environment-dependent properties management. It discusses creating, packaging, and distributing keys and certificates. Moreover, the topic also includes exposing and invoking APIs over HTTPS.
Topic 3	Implement Maintainable and Modular Mule Applications and Their Maven Builds: This topic covers modularizing and optimizing Mule application Maven build configurations. It discusses implementing Maven-based automated deployments to Mule runtimes. The topic also includes executing MUnit tests with Maven.
Topic 4	Implement Monitorable Mule Applications: This topic encompasses exposing Health Check endpoints from a Mule application and implementing effective logging. It also includes changing log levels, aggregating, and analyzing logs. Furthermore it involves monitoring Mule applications and implementing message correlation.
Topic 5	Expose Production-Ready Anypoint Platform-Managed APIs from Mule Applications: This topic includes implementing versioning of API-related artifacts and configuring custom or out-of-the-box API policies. Additionally, it covers server-side caching of API invocations using policies, requesting access to APIs, and implementing HTTP callbacks.

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Salesforce Certified MuleSoft Developer II Sample Questions (Q24-Q29):

NEW QUESTION # 24
Which type of cache invalidation does the Cache scope support without having to write any additional code?

A. Notification-based invalidation
B. Write-through invalidation
C. Time to live
D. White-behind invalidation

Answer: C

Explanation:
The Cache scope supports time to live (TTL) as a cache invalidation strategy without having to write any additional code. TTL specifies how long the cached response is valid before it expires and needs to be refreshed. The Cache scope also supports custom invalidation strategies using MEL or DataWeave expressions. Reference: https://docs.mulesoft.com/mule-runtime/4.3/cache-scope#cache_invalidation

NEW QUESTION # 25
A scatter-gather router is configured with four routes:Route A, B, C and D.
Route C false.

A. Error,errorMesage.payload.results ['2']
B. Payload ['2']
C. Payload failures['2']
D. Error,errorMessage,payload.failures['2']

Answer: A

Explanation:
The result of accessing route C failure is Error,errorMessage,payload.failures['2']. This is because a scatter-gather router returns an aggregated message that contains an array of results from each route and an array of failures from each route. The failures array contains error objects with information about each failed route execution. To access route C failure, which is the third route (index 2), the developer needs to use Error.errorMessage.payload.failures['2'] expression. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-reference#scatter-gather-output

NEW QUESTION # 26
The HTTP Request operation raises an HTTP CONNECTIVITY error.
Which HTTP status code and body are returned to the web client?

A. HTTP Status Code:500.
Body 'Error in processing your request
B. HTTP Status Code:200.
Body 'Error in processing your request
C. HTTP Status Code:500.
Body 'Error in processing your request
D. HTTP Status Code:500.
Body 'The HTTP CONNECTIVITY Error description

Answer: C

Explanation:
When the HTTP Request operation raises an HTTP CONNECTIVITY error, it triggers an on-error-continue handler that sets a payload with 'Error in processing your request'. Since no status code is explicitly set in this handler, it defaults to 500 (INTERNAL SERVER ERROR). Therefore, the web client receives an HTTP response with status code 500 and body 'Error in processing your request'. Reference: https://docs.mulesoft.com/mule-runtime/4.3/error-handling#on-error-continue

NEW QUESTION # 27
Refer to the exhibit.
What required changes can be made to give a partial successful response in case the United Airlines API returns with a timeout?

A. Add Flow Reference components inside a Try scope
Set the payload to a default value '' inside the error handler using the On Error Propagate scope
B. Add a Scatter-Gather component inside a Try scope.
Set the payload to a default value 'Error'' inside the error handler using the On Error Continue scope.
C. Add a Scatter-gather component inside a Try scope.
Set the payload to a default value 'Error' inside the error handler using the On Error Propagate scope.
D. Add Flow Reference components inside a Try scope.
Set the payload to a default value'' insider the error handler using the ON Error Continue scope

Answer: B

Explanation:
To give a partial successful response in case the United Airlines API returns with a timeout, the developer should add a Scatter-Gather component inside a Try scope, and set the payload to a default value 'Error' inside the error handler using the On Error Continue scope. A Scatter-Gather component allows sending multiple requests concurrently and aggregating the responses into an array. A Try scope allows handling errors that occur within it using an error handler. An On Error Continue scope allows continuing the flow execution after handling an error. Therefore, by using these components, the developer can send requests to both APIs in parallel, handle any timeout errors from United Airlines API, and return a partial response with a default value for that API. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/try-scope-concept https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept

NEW QUESTION # 28
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?

A. Using the DataWeave if Else condition test the values of the payload against the examples included in the schema
B. Apply the JSON Schema policy in API Manager and reference the correct schema in the policy configuration
C. Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema
D. Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script, add:
%dw 2.0
Import.json-moduls

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 # 29
......

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