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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	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 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	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 5	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 6	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 7	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.

Salesforce Certified MuleSoft Developer I Sample Questions (Q169-Q174):

NEW QUESTION # 169
What DataWeave expression transforms the array a to the XML output?

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

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 # 170

A. Option A
B. Option B
C. Option C
D.
E.
F.
G.
H. Option D

Answer: B,D

NEW QUESTION # 171
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. ["A","B","C"]
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
D. Total Records Processed: 3
Successful Records: 3
Failed Records: 0
payload: ["a", "b", "c"]

Answer: C

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 # 172
Refer to the exhibits.

The Set Payload transformer's value is set to {'year': '2020'}.
What message value should be added to the Logger component to output the message 'The year is 2020', without hardcoding 2020?

A. The year is #[payload.year]'
B. #["The year is "++ payload.year].
C. '#[The year is $(pay load .year)]*
D. '#[The year is " + paytoad.year]'

Answer: B

NEW QUESTION # 173
In the Database On Table Row operation, what does the Watermark column enable the On Table Row operation to do?

A. To delete the most recent records retrieved from a database to enable database caching
B. To enable duplicate processing of records in a database
C. To avoid duplicate processing of records in a database.
D. To save the most recent records retrieved from a database to enable database caching

Answer: C

Explanation:
The correct answer is To avoid duplicate processing of records in a database.
If a watermark column is provided, the values taken from that column are used to filter the contents of the next poll, so that only rows with a greater watermark value are returned. If an ID column is provided, this component automatically verifies that the same row is not picked twice by concurrent polls.
Mule doc reference : https://docs.mulesoft.com/db-connector/1.8/database-documentation#listener

NEW QUESTION # 174
......

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