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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploying and managing APIs and integrations | 22% | - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Select the correct Anypoint Platform deployment options for a given scenario - Manage API versions and contracts using API Manager and Anypoint Exchange - Define and apply policies for API security, traffic management, and quality of service |
| Topic 2: Designing and building Mule applications | 32% | - Select and use the correct components for API implementations - Design and use batch jobs for large data processing - Define and use caches and object stores - Design Mule application flows and subflows for modularity and reuse - Specify reliable messaging, error handling, and reconnection strategies |
| Topic 3: Configuring and using connectors | 14% | - Configure and use Anypoint Connector for JMS - Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for File, FTP, and SFTP - Configure and use Anypoint Connector for HTTP - Select and configure the correct connector for integration scenarios |
| Topic 4: Designing architecture using integration paradigms | 10% | - 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 - Create high-level integration architectures using API-led Connectivity |
| Topic 5: Initiating integration solutions on the Anypoint Platform | 8% | - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) - Select deployment options of the Anypoint Platform control plane and runtime plane - Differentiate between functional and non-functional requirements for integration solutions |
| Topic 6: Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics for automating interactions with Anypoint Platform - Design the logging configurations and options of Mule applications 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 of Anypoint Monitoring in all deployment options |
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NEW QUESTION # 147
An external REST client periodically sends an array of records in a single POST request to a Mule application's API endpoint. The Mule application must validate each record of the request against a JSON schema before sending it to a downstream system in the same order that it was received in the array.
Record processing will take place inside a router or scope that calls a child flow. The child flow has its own error handling defined. Any validation or communication failures should not prevent further processing of the remaining records.
Which router or scope should be used in the parent flow, and which type of error handler should be used in the child flow in order to meet these requirements?
Answer: C
NEW QUESTION # 148
What is a best practice when designing Mule applications for high performance with large data volumes?
Answer: D
NEW QUESTION # 149
Refer to the exhibit.
A company is tracking the number of patient COVID-19 tests across the city. Test results must be accessible to doctors in offices, hospitals, and urgent-care facilities. Due to the importance of the service, in particular for patients at high risk, the company is requested to improve the responsiveness of the Test Result API, shown in the image below, to retrieve the patient's result. How can these data and functional requirements be met?
Answer: A
NEW QUESTION # 150
Refer to the exhibit.
In this Mule application, the retrieveFile flow's event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecord flow's VM Listener receives messages from the same VM queue and then processes each message separately. This Mule application is deployed to multiple CloudHub workers with persistent queues enabled. How are messages routed to the CloudHub workers as messages are received by the VM Listener?
Answer: B
NEW QUESTION # 151
A company needs to be able to send data from Salesforce to a homegrown system behind a corporate firewall. The data needs to be pushed only one way and doesn't need to be sent in real time. The average volume is 2 million records per day.
What should an integration architect consider when choosing the right option in building the integration between the external system and Salesforce?
Answer: C
NEW QUESTION # 152
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