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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics of Anypoint Monitoring in all deployment options - Create the high-level design of continuous integration (CI) and continuous delivery (CD) pipelines for Mule applications using MuleSoft-provided Maven plugins - Identify the features and characteristics for automating interactions with Anypoint Platform - Design the logging configurations and options of Mule applications in all deployment options |
| Topic 2: Configuring and using connectors | 14% | - Select and configure the correct connector for integration scenarios - Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for JMS - Configure and use Anypoint Connector for File, FTP, and SFTP |
| Topic 3: Initiating integration solutions on the Anypoint Platform | 8% | - Select deployment options of the Anypoint Platform control plane and runtime plane - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) - Differentiate between functional and non-functional requirements for integration solutions |
| Topic 4: Designing and building Mule applications | 32% | - Define and use caches and object stores - Select and use the correct components for API implementations - Specify reliable messaging, error handling, and reconnection strategies - Design Mule application flows and subflows for modularity and reuse - Design and use batch jobs for large data processing |
| Topic 5: Deploying and managing APIs and integrations | 22% | - Manage API versions and contracts using API Manager and Anypoint Exchange - Select the correct Anypoint Platform deployment options for a given scenario - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Define and apply policies for API security, traffic management, and quality of service |
| Topic 6: Designing architecture using integration paradigms | 10% | - Create high-level integration architectures using API-led Connectivity - Create high-level integration architectures using event-driven APIs and message brokers - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using web APIs and HTTP |
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NEW QUESTION # 130
What does the Mule 4 reactive event processing model primarily optimize?
Answer: B
NEW QUESTION # 131
Which of the following are fundamental features available to all Mule applications? (Choose Two)
Answer: B,C
NEW QUESTION # 132
How does non-blocking processing improve performance in Mule applications?
Answer: A
NEW QUESTION # 133
Why is it important to differentiate between disaster recovery and high availability? (Choose Two)
Answer: C,D
NEW QUESTION # 134
A Mule Process API is being designed to provide product usage details. The Mule application must join together the responses from an Inventory API and a Product Sales History API with the least latency.
How should each API request be called in the Mule application to minimize overall latency?
Answer: D
NEW QUESTION # 135
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