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Understanding functional and technical aspects of MuleSoft Certified Developer - Level 1 Using Connectors

The following will be asked from you in the exam:

Using Connectors
List, read, and write local files using the File connector
List, read, and write remote files using the FTP connector
Use the Transform Message component to pass arguments to a SOAP web service

The MCD-Level-1 exam covers a wide range of topics, including Anypoint Platform basics, API design and implementation, exception handling, data transformation, and deployment strategies. MCD-Level-1 Exam also evaluates a candidate's knowledge of MuleSoft's development tools, such as Anypoint Studio, MUnit, and DataWeave. Successful completion of MCD-Level-1 exam not only validates a developer's skills but also sets them apart from their peers in the job market. Additionally, it opens up new opportunities for them to work on complex integration projects involving MuleSoft technology.

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MuleSoft MCD-Level-1 is a certification exam that aims to validate the knowledge and expertise of professionals in MuleSoft's Anypoint Platform. The MuleSoft Certified Developer - Level 1 (Mule 4) exam is designed to assess the candidate's ability to develop, test, and debug integrations and APIs using MuleSoft's Anypoint Platform. MCD-Level-1 Exam is intended for developers who have at least one year of experience in developing MuleSoft applications.

MuleSoft Certified Developer - Level 1 (Mule 4) Sample Questions (Q40-Q45):

NEW QUESTION # 40
What is the minimum Cloudhub worker size that can be specified while deploying mule application?

A. 1.0 vCores
B. 0.5 vCores
C. 0.1 vCores
D. 0.2 vCores

Answer: C

Explanation:
Correct answer is 0.1 vCores
MuleSoft Doc Ref : https://docs.mulesoft.com/runtime-manager/cloudhub-architecture#cloudhub-workers CloudHub Workers Workers are dedicated instances of Mule runtime engine that run your integration applications on CloudHub. The memory capacity and processing power of a worker depends on how you configure it at the application level.
Worker sizes have different compute, memory, and storage capacities. You can scale workers vertically by selecting one of the available worker sizes:

NEW QUESTION # 41
Refer to the exhibits.

The Set Payload transformer In the addltem subflow uses DataWeave to create an order object.
What is the correct DataWeave code for the Set Payload transformer in the createOrder flow to use the addltem subflow to add a router cable with the price of 100 to the order?

A. lookupf "addltem", { price: "100", item: "router", itemType: "cable" } )
B. addltemf { price: "100", item: "router", itemType: "cable" })
C. addltemf { payload: { price: "100", item: "router", itemType: "cable" } > )
D. lookupf "addltem", { payload: { price: "100", item: "router", itemType: "cable" } } )

Answer: D

NEW QUESTION # 42
What asset cannot be created using Design Center?

A. API fragments
B. Mule Applications
C. API specifications
D. API portals

Answer: D

Explanation:
API portal are created by API Exchange and cannot be created by Design Center

NEW QUESTION # 43
Refer to the exhibit.

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

A. properties of the Mule runtime app object
B. session variables
C. Properties of the Mule runtime flow object
D. Key/value pairs in the ObjectStore

Answer: D

NEW QUESTION # 44
A shopping API contains a method to look up store details by department To get information for a particular store, web clients will submit requests with a query parameter named department and a URI parameter named storeld.
What is a valid RAML snippet that supports requests from web clients to get data for a specific storeld and department name?

Answer: B

Explanation:
Lets revise few concepts RAML which can help us to find the answer of this question.
URI Parameters
Lets have a look at below example.
* /foos:
* /{id}:
* /name/{name}:
Here, the braces { } around property names define URI parameters. They represent placeholders in each URI and do not reference root-level RAML file properties as we saw above in the baseUri declaration. The added lines represent the resources /foos/{id} and /foos/name/{name}.
Query Parameters
Now we'll define a way to query the foos collection using query parameters. Note that query parameters are defined using the same syntax that we used above for data types:
* /foos:
* get:
* description: List all Foos matching query criteria, if provided;
* otherwise list all Foos
* queryParameters:
* name?: string
* ownerName?: string
Based on the above information , below is the only option which defines storeid as uri parameter and department as query parameter.
* /{storeId}:
* get:
* queryParameter:
* department:

NEW QUESTION # 45
......

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