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

Topic	Details
Topic 1	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 2	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 3	Handling Errors: Handling errors includes describing default error handling in Mule applications and defining custom global default error handlers. It involves comparing On Error Continue and On Error Propagate scopes, creating error handlers for a flow, using the Try scope, and mapping errors to custom application errors.
Topic 4	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 5	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 6	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 7	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 8	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 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.
Topic 10	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 11	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 (Q183-Q188):

NEW QUESTION # 183
A Mule flow has three Set Variable transformers. What global data structure can be used to access the variables?

A. Mule event attributes
B. Mule event
C. Mule event message
D. Mule application properties

Answer: B

Explanation:
Mule event is correct answer. Mule event has two parts which are as follows
1) Message (which contains payload and attributes like headers and query/uri parameters
2) Variables

NEW QUESTION # 184
A web client sends one GET request to the test flow's HTTP Listener, which causes the test flow to call the updateTemp flow After the test flow returns a response, the web client then sends a different GET request to trie getTemp flow's HTTP Listener The test flow is not called a second time.
What response is returned from the request to the getTemp flow's HTTP Listener?

Answer: A

NEW QUESTION # 185
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 A
B. Option B
C. Option D
D. Option C

Answer: D

NEW QUESTION # 186
A Mule project contains a DataWeave module file WebStore dvA that defines a function named loginUser The module file is located in the projects src/main/resources/libs/dw folder What is correct DataWeave code to import all of the WebStore.dwl file's functions and then call the loginUser function for the login "cindy.park@example.com"?
A)

B)

C)

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

Answer: D

NEW QUESTION # 187
Refer to the exhibits.

The Batch Job scope contains two Batch Steps scopes with different accept expression.
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 component?

A. 1.{amount=140}2.{amount=102}3.{step2amount=100}4.{step2amount=140}
B. 1.{amount=140}2.{amount=102}3.{step2amount=100}
C. 1.{amount=140}2.{amount=102}3.{step2amount=100}4.{step2amount=40}
D. 1.{amount=140}2.{amount=102}3.{step2amount=100}4.{step2amount=140}5.{step2amount=102}

Answer: D

Explanation:
This question validates you knowledge on Batch Processing. Before we analyze the question , lets revise a bit about batchfilters.
Batch Filters
You can apply one or more filters as attributes to any number of batch steps.Imagine a batch job whose first batch step checks if a Salesforce contact exists for a record, and a second batch step that updates each existing Salesforce contact with new information. You can apply a filter to the second batch step to ensure it only processes records that didn't fail during the first batch step.By having batch steps accept only some records for processing, you streamline the batch job sothe Mule runtime engine can focus only on the relevant data for a particular batch step.
A batch step uses two attributes to filter records:
acceptExpression
acceptPolicy
Each batch step can accept one acceptExpression and one acceptPolicy attributes to filter records.
Use the acceptExpression attribute to process only records that evaluate to true; if the record evaluates to false, the batch step skips the record and sends it to the next one. In other words, the records with an accept expression that resolves to false are the ones that Mule filters out.
The example below filters out all records where the age is less than 21; the batch step does not process those records.
* <batch:jobjobName="batchJob">
* <batch:process-records>
* <batch:stepname="adultsOnlyStep"acceptExpression="#[payload.age >21]">
* ...
* </batch:step>
* </batch:process-records>
* </batch:job>
Mule Ref Doc : Refining Batch StepsProcessing | MuleSoft Documentation
As we are clear with above concepts , now lets understand this solution step by step.
1) Batch Step (Less than 50)
Accept expression for this batch step is less than 50. Hence elements which will go in this batch step are amount value 40 and 2. Hence output of logger in first batch step is
{amount=140}
{amount=102}
2) Batch Step (Greater than 20)
Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are
100 , 140 and102 (last two values have been updated in batch step less than 50) As all values satisfy this condition out put of second logger is
{step2amount=100}
{step2amount=140}
{step2amount=102}
Hence correct answer to this question is

* {amount=140}
* {amount=102}
* {step2amount=100}
* {step2amount=140}
* {step2amount=102}
2) Batch Step (Greater than 20)
Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are
100 , 140 and 102 (last two values have been updated inbatch step less than 50) As all values satisfy this condition out put of second logger is
{step2amount=100}
{step2amount=140}
{step2amount=102}
Hence correct answer to this question is

{amount=140}
{amount=102}
{step2amount=100}
{step2amount=140}
{step2amount=102}

NEW QUESTION # 188
......

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