Frenquent MuleSoft MCD-Level-1 Update | Latest MCD-Level-1 Test Objectives

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MuleSoft MCD-Level-1 Exam Syllabus Topics:

SectionObjectives
Topic 1: DataWeave- Data transformation basics
- Mapping and functions
Topic 2: Anypoint Platform Fundamentals- Anypoint Platform components
- API-led connectivity concepts
Topic 3: Implementing Mule Applications- Mule flows and event processing
- Connectors and components
Topic 4: Designing APIs- RAML basics
- API design best practices
Topic 5: Deployment and Operations- CloudHub deployment
- Monitoring and logging
Topic 6: Error Handling and Debugging- Debugging Mule applications
- Error types and strategies

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MuleSoft Certified Developer - Level 1 (Mule 4) Sample Questions (Q33-Q38):

NEW QUESTION # 33
What DataWeave expression transforms the array a to the XML output?

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 # 34
According to MuleSoft. what is the first step to create a Modern API?

Answer: A


NEW QUESTION # 35
A Scatter-Gather processes three separate HTTP requests. Each request returns a Mule event with a JSON payload. What is the final output of the Scatter-Gather?

Answer: C

Explanation:
Correct answer is An Object containing all three Mule event Objects
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.
Sample output is as below

MuleSoft Documentation reference : https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept


NEW QUESTION # 36
Refer to the exhibit.

What can be added to the flow to persist data across different flow executions?

Answer: B

Explanation:
An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. Internally, Mule uses object stores in various filters, routers, and other message processors that need to store states between messages.
Object stores are available in all deployment targets. If you deploy your application to CloudHub, you can also use Object Store V2.
Correct answer is Key/value pair in Object store
MuleSoft Documentation reference :
https://docs.mulesoft.com/mule-runtime/4.3/mule-object-stores#use-cases


NEW QUESTION # 37
Why would a Mule application use the ${http.port} property placeholder for its HTTP Listener port when it is deployed to CloudHub?

Answer: D


NEW QUESTION # 38
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