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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing and building Mule applications | 32% | - Design and use batch jobs for large data processing - Select and use the correct components for API implementations - Define and use caches and object stores - Specify reliable messaging, error handling, and reconnection strategies - Design Mule application flows and subflows for modularity and reuse |
| Topic 2: 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 3: Initiating integration solutions on the Anypoint Platform | 8% | - Differentiate between functional and non-functional requirements for integration solutions - 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) |
| Topic 4: 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 5: Designing architecture using integration paradigms | 10% | - Create high-level integration architectures using API-led Connectivity - 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 event-driven APIs and message brokers |
| Topic 6: Configuring and using connectors | 14% | - Configure and use Anypoint Connector for JMS - 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 - Configure and use Anypoint Connector for Database |
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NEW QUESTION # 164
A large enterprise customer with the following system landscape is planning to implement Salesforce Sales Cloud.
The following business processes need to be supported in Salesforce:
1. Sales Consultants should be able to have access to current inventory.
2. Enterprise Resource Planning System(ERP) is the system of record for pricing information.
3. Quotes should be generated in Salesforce with pricing from ERP.
4. Sales Management uses a Enterprise Business Intelligence (BI) toolto view Sales dashboards.
5. Master Data Management (MDM) is the system of record for customers and prospects.
6. Invoices should be accessible in Salesforce.
Which systems in the landscape should the Integration Consultant consider to be integrated with Salesforce to support the business requirements?
Answer: B
NEW QUESTION # 165
Select the core router that would be used to process multiple routes concurrently in a Mule application.
Answer: A
NEW QUESTION # 166
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: A
NEW QUESTION # 167
What specific requirement can CloudHub address with its custom VPC feature?
Answer: B
NEW QUESTION # 168
Which WSDL should an architect consider when creating an integration that might be used for more than one salesforce organization and different met?
Answer: C
NEW QUESTION # 169
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