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

Topic	Details
Topic 1	Routing Events: It focuses on using the Choice router for conditional logic and the Scatter-Gather router to multicast events. This topic also involves validating data by using the Validation module.
Topic 2	Structuring Mule Applications: Structuring Mule applications covers parameterizing an application and defining and reusing global configurations. It includes breaking an application into multiple flows using private flows, subflows, and the Flow Reference component.
Topic 3	Deploying and Managing APIs and Integrations: It includes packaging Mule applications for deployment and deploying them to CloudHub. This topic also involves using CloudHub properties, creating and deploying API proxies, connecting an API implementation to API Manager, and applying policies to secure an API.
Topic 4	Creating Application Networks: The topic of creating Application Networks encompasses understanding MuleSoft’s proposal for closing the IT delivery gap and describing the role and characteristics of the modern API. It also includes the purpose and roles of a Center for Enablement (C4E), and the benefits of API-led.
Topic 5	Using Connectors: It focuses on retrieving data from REST services using HTTP Request or REST Connector. Moreover, the topic covers using a Web Service Consumer connector for SOAP web services and the Transform Message component.
Topic 6	Designing APIs: Designing APIs involves describing the lifecycle of the modern API and using RAML to define various aspects of an API. It includes identifying when to use query parameters vs URI parameters, and defining API parameters.
Topic 7	Debugging and Troubleshooting Mule Applications: Using breakpoints to inspect a Mule event during runtime, installing missing Maven dependencies, and reading and deciphering Mule log error messages are sub-topics of this topic.
Topic 8	Processing Records: Processing records includes methods for processing individual records in a collection and explaining how Mule events are processed by the For Each scope. It also involves using the Batch Job with Batch Steps and a Batch Aggregator.
Topic 9	Building API Implementation Interfaces: This topic involves manually creating a RESTful interface for a Mule application and generating a REST Connector from a RAML specification. It also includes describing the features and benefits of APIkit.

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Salesforce Certified MuleSoft Developer I Sample Questions (Q80-Q85):

NEW QUESTION # 80
Refer to the exhibit.

The API needs to be updated using the company-wide standard for the Plan data type. The Object data type has already been published in Anypoint Exchange with the global reference . ACME/DataTypes/PlanDataType.raml.
What is a valid RAML specification that reuses the Plan data type?

Answer: A

Explanation:
As can be seen in RAML, POST expects input in application/json format which eliminates two of the options as two options are in xml format.
Now out of the two remaining options, one has id field in request which is only mentioned for get response and not for POST request. Hence id field is not expected in POST request.
Hence correct answer is
{
"name": "GoerdiLa Forge",
"address": "1 Westland CA",
"customer_since": "2014-01-04",
"balance": "4829.29",
"bank_agend_id": "12556"
}

NEW QUESTION # 81
Refer to the exhibit.

A Mule event is composed of a hierarchy of objects. Where in the hierarchy are variables stored?

A. Mule message
B. Mule event
C. Mule message attributes
D. Mule message payload

Answer: B

Explanation:
Variables are stored under Mule event. Please refer to below image for the hierarchy .

NEW QUESTION # 82
Refer to the exhibit.

What Database expression transforms the input to the output?

Answer: A

NEW QUESTION # 83
Refer to the exhibits.

The Batch Job scope contains two Batch Step scopes with different accept expressions.
The input payload is passed to the Batch Job scope.
After the entire payload is processed by the Batch Job scope, what messages have been logged by the Logger components?
A)

B)

D)

A. Option C
B. Option A
C. Option B
D. Option D

Answer: A

NEW QUESTION # 84
What DataWeave expression transforms the array a to the XML output?

A. 1. 1. {
2. 2. trains:
3. 3. a map ((engId, index) ->
4. 4. train: {
5. 5. TrainNumber: engId
6. 6.
7. 7. }
8. 8. )
9. }
B. 1. 1. {(
2. 2. trains:
3. 3. a map ((engId, index) ->
4. 4. train: {
5. 5. TrainNumber: engId
6. 6.
7. 7. }
8. 8. )
9. )}
C. 1. 1. trains:
2. 2. {(
3. 3. a map ((engId, index) ->
4. 4. train: {
5. 5. TrainNumber: engId
6. 6.
7. 7. }
8. 8. )
9. 9. )}
D. 1. 1. trains:
2. 2. a map ((engId, index) ->
3. 3. train: {
4. 4. TrainNumber: engId
5. 5.
6. 6. }
7. 7. )

Answer: C

Explanation:
For such questions always look for Syntax:
I call it "Wrap the Map"
trains:
{(
When mapping array elements (JSON or JAVA) to XML, wrap the map operations in {(..)}
-{ } are defining the object
-( ) are transforming each element in the array as a key/value pair

NEW QUESTION # 85
......

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Fred Reed Fred Reed

Biography

2025 Useful Study Salesforce-MuleSoft-Developer-I Group Help You Pass Salesforce-MuleSoft-Developer-I Easily

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

Prepare Exam With Latest Salesforce Salesforce-MuleSoft-Developer-I Exam Questions

Salesforce Certified MuleSoft Developer I Sample Questions (Q80-Q85):

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