What is the duration, language, and format of MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam

• Language: English
• Number of Questions: 58
• Type of Questions: Single and Multiple Choice.
• Passing score: 70%
• Length of Examination: 120 minutes

Reference: https://training.mulesoft.com/exam/mcia-level1

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Topics of MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam

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Configuring Anypoint Platform

• Select monitoring options for all available Anypoint Platform deployment options.
• 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.
• Define a performant and HA deployment architecture for Mule applications in on-prem deployments.
• Suggest the number of Mule runtimes needed for a Mule application given performance targets and HA requirements.
• Select Anypoint Platform identity management vs client management for the correct purpose.

Selection Integration Styles

• When designing an integration solution, select the most appropriate interface/data technology and interface definition language for all integration interfaces.
• Given a description of an integration problem, identify the most appropriate integration style.
• Recognize scenarios where message correlation is necessary.
• Design parts of an integration solution using general message-based integration or event-driven architecture (EDA) using message brokers or streaming technologies.

Operating and Monitoring Integration Solutions

• 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.
• Identify ways of transmitting IDs between components in remote interactions and capture this in the interface design of the remote interaction.

DevOps

• Specify testing strategies that use both mocking and invoking of external dependencies.
• Specify the purpose of various MuleSoft products in DevOps and CI/CD.
• Formulate an effective source code management strategy including branching and merging.
• Identify differences, advantages, and disadvantages of DevOps based on deployable Mule applications versus container images.

Handling Events

• Predict the runtime load-balancing behavior of messages sent to the public URL of a Mule application deployed to multiple CloudHub workers.
• Use the streaming to handle large payloads within Mule applications.
• Use Mule 4 constructs to make effective use of Enterprise Integration Patterns.
• 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.
• Predict the runtime behavior of messages queued internally for processing for load balancing or to achieve reliability.
• Select suitable storage mechanisms for IDs (correlation IDs, message IDs, transaction IDs) in Mule applications deployed to CloudHub or on-premises.

Designing Applications

• Identify possible failures when a component (such as an API client) invokes a remote component (such as an API implementation).
• Specify when a Mule application would require persistence and select an appropriate persistence solution.
• 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.

Designing Networks

• When incoming and outgoing HTTPS connections with mutual authentication are used, identify what certificates are needed in what stores in a different environment.
• Use transport protocols and connectors correctly and coherently when and where applicable.
• 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.