最新のMule-Arch-201問題集で試験を準備する

Salesforce Mule-Arch-201 試験概要:

Salesforce Mule-Arch-201 試験シラバストピック:

Salesforce Certified MuleSoft Platform Architect 認定 Mule-Arch-201 試験問題：

問題 #1

What Anypoint Connectors support transactions?

A. Database, 3MS, HTTP
B. Database, JMS, VM
C. Database, JMS, VM, SFTP
D. Database, VM, File

問題 #2

The Line of Business (LoB) of an eCommerce company is requesting a process that sends automated notifications via email every time a new order is processed through the customer's mobile application or through the internal company's web application. In the future, multiple notification channels may be added: for example, text messages and push notifications.
What is the most effective API-led connectivity approach for the scenario described above?

A. Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email.
Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email.
B. Create Experience APIs for both the web application and mobile application.
Create a Process API ta orchestrate, retrieve the email template from e database, and send the email using the Anypoint Connector for Email.
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C. Create one Experience API for the web application and one for the mobile application, Create a Process API to orchestrate, retrieve the email template from a database, and send the email using the Anypoint Connector for Email.

D. Create Experience APIs for both the web application and mobile application.
(Create 3 Process API to orchestrate and retrieve the email template from 2 databese.
Create a System API that sends the email using the Anypoint Connector for Email.

問題 #3

An API implementation is updated. When must the RAML definition of the API also be updated?

A. When the API implementation changes the structure of the request or response messages
B. When the API implementation is migrated from an older to a newer version of the Mule runtime
C. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system
D. When the API implementation is optimized to improve its average response time

問題 #4

Mule applications that implement a number of REST APIs are deployed to their own subnet that is inaccessible from outside the organization.
External business-partners need to access these APIs, which are only allowed to be invoked from a separate subnet dedicated to partners - called Partner-subnet. This subnet is accessible from the public internet, which allows these external partners to reach it.
Anypoint Platform and Mule runtimes are already deployed in Partner-subnet. These Mule runtimes can already access the APIs.
What is the most resource-efficient solution to comply with these requirements, while having the least impact on other applications that are currently using the APIs?

A. Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes
B. Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes
C. Redeploy the API implementations to the same servers running the Mule runtimes
D. Add an additional endpoint to each API for partner-enablement consumption

問題 #5

A European company has customers all across Europe, and the IT department is migrating from an older platform to MuleSoft. The main requirements are that the new platform should allow redeployments with zero downtime and deployment of applications to multiple runtime versions, provide security and speed, and utilize Anypoint MQ as the message service.
Which runtime plane should the company select based on the requirements without additional network configuration?

A. MuleSoft-hosted runtime plane (CloudHub)
B. Customer-hosted runtime plane
C. Anypoint Runtime Fabric on Self-Managed Kubernetes for the runtime plane
D. Runtime Fabric on VMs / Bare Metal for the runtime plane

解説：