Introduction to MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam
A MuleSoft Certified Developer - Level 1 should be able to successfully work on basic Mule 4 projects with guidance and supervision. The exam validates that a developer has the required knowledge and skills to design, build, test and debug, deploy, and manage basic APIs and integrations: moving from Anypoint Integration to Anypoint Studio and back. Certified candidates should be able to:
- Process batch records.
- Use MuleSoft-hosted Anypoint Integration to take a basic API through all the steps of its lifecycle: design, build, deploy, manage, and govern.
- Perform basic data transformations using DataWeave 2.0.
- Control event flow and handle errors.
- Connect to a range of resources including databases, files, web services, SaaS applications, and JMS queues.
- Use Anypoint Studio to build, test, and debug basic integrations and API implementations.
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Reference: https://training.mulesoft.com/exam/mcia-level1
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Who should take the MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam
The MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 exam certification is an internationally recognized certification that helps to have validation for those professionals who are keen to make their career in MuleSoft design, build, test and debug, deploy, and manage basic APIs and integrations.
If a candidate/professional seeks a powerful improvement in career growth needs enhanced knowledge, skills, and talents. The MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 certification provides proof of this advanced knowledge and skill.
Topics of MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam
Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our mcia-level-1 practice exams will include the topics discussed in detail:
Configuring Anypoint Platform
- Define a performant and HA deployment architecture for Mule applications in on-prem deployments.
- Select Anypoint Platform identity management vs client management for the correct purpose.
- Configure business groups, roles, and permissions within an Anypoint Platform organization.
- Identify common and distinguishing features and usage scenarios for CloudHub VPCs and public worker cloud.
- Suggest the number of Mule runtimes needed for a Mule application given performance targets and HA requirements.
- Select monitoring options for all available Anypoint Platform deployment options.
Selection Integration Styles
- Design parts of an integration solution using general message-based integration or event-driven architecture (EDA) using message brokers or streaming technologies.
- When designing an integration solution, select the most appropriate interface/data technology and interface definition language for all integration interfaces.
- Recognize scenarios where message correlation is necessary.
- Given a description of an integration problem, identify the most appropriate integration style.
Operating and Monitoring Integration Solutions
- Identify ways of transmitting IDs between components in remote interactions and capture this in the interface design of the remote interaction.
- Identify metrics and operations exposed by default via JMX.
- Specify the type of metrics for API invocations and API implementations that can be monitored with Anypoint Platform.
- Identify differences in monitoring and alerting between customer-hosted and MuleSoft-hosted Anypoint Platform.
DevOps
- Identify differences, advantages, and disadvantages of DevOps based on deployable Mule applications versus container images.
- Formulate an effective source code management strategy including branching and merging.
- Specify testing strategies that use both mocking and invoking of external dependencies.
- Specify the purpose of various MuleSoft products in DevOps and CI/CD.
Handling Events
- Select suitable storage mechanisms for IDs (correlation IDs, message IDs, transaction IDs) in Mule applications deployed to CloudHub or on-premises.
- Predict the runtime load-balancing behavior of messages sent to the public URL of a Mule application deployed to multiple CloudHub workers.
- Identify scenarios in which to use different storage mechanisms including persistent and non-persistent ObjectStore, in-memory ObjectStore, cluster-replicated in-memory OS, hash tables, and disk-persisted OS.
- Use Mule 4 constructs to make effective use of Enterprise Integration Patterns.
- Predict the runtime behavior of messages queued internally for processing for load balancing or to achieve reliability.
- Use the streaming to handle large payloads within Mule applications.
Designing Applications
- Identify possible failures when a component (such as an API client) invokes a remote component (such as an API implementation).
- Specify the requirements that would require the use of domain-level connectors.
- For a given Mule 4 connector (Premium, Select, and MuleSoft Certified), identify its purpose, the network protocol it uses, and whether it supports incoming or outgoing types of connections.
- Specify when a Mule application would require persistence and select an appropriate persistence solution.
Designing Networks
- For a given connector, recognize whether it will typically connect to/from an external -system across organizational boundaries.
- Match protocols with networking constraints and API layers.
- Use transport protocols and connectors correctly and coherently when and where applicable.
- When incoming and outgoing HTTPS connections with mutual authentication are used, identify what certificates are needed in what stores in a different environment.
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