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

Topic	Details
Topic 1	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 2	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 3	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 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	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 6	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 7	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 8	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 9	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 10	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.

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Salesforce Certified MuleSoft Developer (Mule-Dev-201) Sample Questions (Q44-Q49):

NEW QUESTION # 44
Refer to exhibits.

In the execution of the Scatter-Gather , the flow route completes after 10 seconds and the flow2 route completes in 40 seconds. How many seconds does it take for the Scatter-Gather to complete?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
Scatter-Gather sends the event to each routes concurrently. Hence both route in this example will start in parallel. So total time to complete processing is 40 seconds The Scatter-Gather component is a routing event processor that processes a Mule event through different parallel processing routes that contain different event processors. Each route receives a reference to the Mule event and executes a sequence of one or more event processors. Each of these routes uses a separate thread to execute the event processors, and the resulting Mule event can be either the same Mule event without modifications or a new Mule event with its own payload, attributes, and variables. The Scatter-Gather component then combines the Mule events returned by each processing route into a new Mule event that is passed to the next event processor only after every route completes successfully.
The Scatter-Gather component executes each route in parallel, not sequentially. Parallel execution of routes can greatly increase the efficiency of your Mule application and may provide more information than sequential processing.
Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept

NEW QUESTION # 45
What valid RAML retrieves details on a specific by its orderld as a URL parameter?

Answer: B

NEW QUESTION # 46
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 "[email protected]"?
A)

B)

C)

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

Answer: A

NEW QUESTION # 47
What should this endpoint return considering the API is build using standard practices?
http://dev.acme.com/api/patients?year=2021

A. No patients
B. Patient with id 2021
C. All patients
D. Patients from year 2021

Answer: D

Explanation:
Correct answer is Patients from year 2021.
The thing to note here is that year is not a query parameter and not the uri parameter. Hence it will filter all the patients and return the ones for whom year is 2021

NEW QUESTION # 48
Refer to the exhibit.

How should be the where clause written for the configured input parameters in such a way that it achieves below SQL query?

A. WHERE city = :city AND state = :state
B. WHERE city := city AND state := state
C. WHERE city := ${city} AND state := ${state}
D. WHERE city = attributes.cityAND state = attributes.state

Answer: A

Explanation:
Correct syntax to use where clause is WHERE city = :city AND state = :state This question validates knowledge on using dynamicqueries in DB select operation.
Configure Dynamic Queries in the Select Operation
When you need to parameterize not only the WHERE clause but also parts of the query itself (for example, queries that compare tables that depend on a condition, or complexqueries for which the project table columns need to vary), you can configure dynamic queries.
In the following example, you configure a dynamic query by using a full expression with a string in which the table depends on a variable $(vars.table). Althoughsome of the query text is dynamic ("SELECT * FROM
$(vars.table)), the WHERE clause still defines the WHERE condition using input parameters: in this case, WHERE name = :name.
In your Studio flow, select the Select operation.
In the operation configurationscreen, set the SQL Query Text field to SELECT * FROM $(vars.table) WHERE name = :name.
Set the Input Parameters field to {'name' : payload}.
The following screenshot shows the configuration in Studio:
Graphical user interface, application Description automatically generated

Figure 3. Dynamic query configuration
In the XML editor, the <db:sql> configuration looks like this:
* <set-variablevariableName="table"value="PLANET"/>
* <db:selectconfig-ref="dbConfig">
* <db:sql>#["SELECT * FROM $(vars.table) WHERE name = :name"]</db:sql>
* <db:input-parameters>
* #[{'name' : payload}]
* </db:input-parameters>
* </db:select>
You can apply input parameters only to parameters in a WHERE clause. To modify any other part of the query, use the DataWeave interpolation operator.
Mule Ref Doc: Query a Database Examples - Mule 4 | MuleSoft Documentation

NEW QUESTION # 49
......

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