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

Topic	Details
Topic 1	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 2	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 3	Accessing and Modifying Mule Events: It describes the Mule event data structure. Moreover, the topic focuses on usage of transformers and enriching Mule events.
Topic 4	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 5	Transforming Data with DataWeave: It involves writing DataWeave scripts and using DataWeave functions. This topic also includes defining and using DataWeave variables, functions, and modules, and applying correct syntax.
Topic 6	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.

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Salesforce Certified MuleSoft Developer (Mule-Dev-201) Sample Questions (Q112-Q117):

NEW QUESTION # 112
Refer to the exhibits.

The Batch job processes an array of strings.
What information is logged by the logger component after the batch job scope completes processing of the input payload?

A. Total Records Processed: 3
Successful Records: 3
Failed Records: 0
B. Total Records Processed: 3
Successful Records: 3
Failed Records: 0
payload: ["a", "b", "c"]
C. Total Records Processed: 3
Successful Records: 3
Failed Records: 0
payload: ["A","B","C"]
D. ["A","B","C"]

Answer: A

Explanation:
Correct answer is as below. On complete phase only has access to batch job result statistics and payload is not available.
Total Records Processed: 3
Successful Records: 3
Failed Records: 0
On Complete
During this phase, you can optionally configure the runtime to create a report or summary of the records it processed for the particular batch job instance. This phase exists to give system administrators and developers some insight into which records failed to address any issues that might exist with the input data.
Sample output is as below

Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/batch-processing-concept#on-complete

NEW QUESTION # 113
Does a root element required when creating a XML response using Dataweave?

A. Not required
B. Always required
C. None of these
D. Depends on requirement

Answer: B

Explanation:
Root element is always required while creating XML response in DataWeave transformation

NEW QUESTION # 114
A web client submits a request to http://localhost:8081?accountType=personal. The query parameter is captured using a Set Variable transformer to a variable named accountType.
What is the correct DataWeave expression to log accountType?

A. Account Type: #[message.inboundProperties.accountType]
B. Account Type: #[vars.accountType]
C. Account Type: #[flowVars.accountType]
D. Account Type: # [attributes.accountType]

Answer: B

Explanation:
vars: Keyword for accessing a variable, for example, through a DataWeave expression in a Mule component, such as the Logger, or from an Input or Output parameter of an operation. If the name of your variable is myVar, you can access it like this: vars.myVar Hence correct answer is Account Type: #[vars.accountType]

NEW QUESTION # 115
Refer to the exhibit.

What data is expected by the POST /accounts endpoint?

Answer: C

NEW QUESTION # 116
Refer to the exhibits.

A Mule application is being developed to process web client POSTrequests with payloads containing order information including the user name and purchased items The Shipping connector returns a shipping address for the input payloads user name The Shipping connector's Shipping Address operation is configured with a target named shippingAddress.
The Set Payload transformer needs to set an item key equal to the items value from the original received payload and a shippinglnfo key equal to the the ShippingAddress operation's response What is a straightforward way to property configure the Set Payload transformer with the required data?

Answer: D

NEW QUESTION # 117
......

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