IT Certification

MuleSoft MCD - Level 1 Real Exam Questions

Last Update: 26 Sep 2023

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Guarantee your MCD - Level 1 exam success with examkiller's study guide. The MCD - Level 1 practice test questions are developed by experiences MuleSoft Certificat...

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Guarantee your MCD - Level 1 exam success with examkiller's study guide. The MCD - Level 1 practice test questions are developed by experiences MuleSoft Certification Professionals who working in todays prospering companies and MuleSoft exam data center.

Exam Number: MCD - Level 1

Exam Title: MuleSoft Certified Developer - Level 1

Format: Single and Multiple Choice

Duration: 120 Minutes

Number of Questions: 60

Passing Score: 70%

Origin Provider: ExamKiller

Total Questions: 226 QAs

Type: Real Exam Questions

Guarantee: 100% Pass Guarantee

Demo: Click Here for Check Demo

MuleSoft MCD - Level 1 Exam Objectives

Explaining application network basics
  • Explain MuleSoft’s proposal for closing the IT delivery gap.
  • Describe the role and characteristics of the “modern API.”
  • Describe the purpose and roles of a Center for Enablement (C4E).
  • Define and describe the benefits of API-led connectivity and application networks.
  • Define and correctly use the terms API, API implementation, API interface, API consumer, and API invocation.
  • Describe the basics of the HTTP protocol and the characteristics of requests and responses.
  • Describe the capabilities and high-level components of Anypoint Platform for the API lifecycle.
Designing and consuming APIs
  • Describe the lifecycle of the “modern API.”
  • Use RAML to define API resources, nested resources, and methods.
  • Identify when and how to define query parameters vs URI parameters.
  • Use RAML to define API parameters, requests, and responses.
  • Use RAML to define reusable data types and format-independent examples.
  • Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate.
Accessing and modifying Mule events
  • Describe the Mule event data structure.
  • Use transformers to set event payloads, attributes, and variables.
  • Write DataWeave expressions to access and modify event payloads, attributes, and variables.
  • Enrich Mule events using target parameters.
Structuring Mule applications
  • Parameterize an application using property placeholders.
  • Define and reuse global configurations in an application.
  • Break an application into multiple flows using private flows, subflows, and the Flow Reference component.
  • Specify what data (payload, attributes, variables) is persisted between flows when a Flow Reference is used.
  • Specify what data (payload, attributes, variables) is persisted between flows when a Mule event crosses a connection boundary.
  • Specify what data (payload, attributes, variables) exists in a flow before and after a call in the middle of a flow to an external resource.
Building API implementation interfaces
  • Manually create a RESTful interface for a Mule application.
  • Generate a REST Connector from a RAML specification.
  • Describe the features and benefits of APIkit.
  • Use APIkit to create implementation flows from a RAML file.
  • Describe how requests are routed through flows generated by APIkit.
Routing events
  • Use the Choice router to route events based on conditional logic.
  • Use the Scatter-Gather router to multicast events.
  • Validate data using the Validation module.
Handling errors
  • Describe the default error handling in a Mule application.
  • Define a custom global default error handler for an application and identify in what situations it will be used.
  • Compare and contrast how the On Error Continue and On Error Propagate scopes work.
  • Create one or more error handlers for a flow.
  • Use the Try scope to specify error handlers for one or more event processors.
  • Describe the data structure of the Mule Error object.
  • Map errors to custom application errors.
Transforming data with DataWeave
  • Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types.
  • Use DataWeave functions.
  • Define and use DataWeave variables, functions, and modules.
  • Define and use custom data types.
  • Apply correct DataWeave syntax to coerce data types.
  • Apply correct DataWeave syntax to format strings, numbers, and dates.
  • Call Mule flows from a DataWeave script.
Using Connectors
  • Retrieve data from a Database using the Database connector.
  • Create parameterized SQL queries for the Database connector.
  • Retrieve data from a REST service using HTTP Request or a REST Connector.
  • Use a Web Service Consumer connector to consume SOAP web services.
  • Use the Transform Message component to pass arguments to a SOAP web service.
  • List, read, and write local files using the File connector.
  • List, read, and write remote files using the FTP connector.
  • Use the JMS connector to publish and listen for JMS messages.
Processing records
  • List and compare and contrast the methods for processing individual records in a collection.
  • Explain how Mule events are processed by the For Each scope.
  • Use the For Each scope to process records.
  • Explain how Mule events are processed by the Batch Job scope.
  • Use a Batch Job with Batch Steps and a Batch Aggregator to process records.
  • Use the Scheduler component to trigger a flow.
  • Use connector listeners to trigger flows.
  • Describe the features, benefits, and process to use watermarking.
  • Describe the features, benefits, and process to use automatic watermarking vs. manual watermarking.
  • Use connectors with automatic watermarking capabilities.
  • Persist data between flow executions using the Object Store.
Debugging and troubleshooting Mule applications
  • Use breakpoints to inspect a Mule event during runtime.
  • Install missing Maven dependencies.
  • Read and decipher Mule log error messages.
Deploying and managing APIs and integrations
  • Package Mule applications for deployment.
  • Deploy applications to CloudHub.
  • Use CloudHub properties to ensure deployment success.
  • Create and deploy API proxies.
  • Connect an API implementation to API Manager using autodiscovery.
  • Use policies, including client ID enforcement, to secure an API.
  • Create SLA tiers and apply SLA based policies.

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