What condition requires using a CloudHub Dedicated Load Balancer?

• A.When cross-region load balancing is required between separate deployments of the same Mule application
• B.When custom DNS names are required for API implementations deployed to customer-hosted Mule runtimes
• C.When API invocations across multiple CloudHub workers must be load balanced
• D.When server-side load-balanced TLS mutual authentication is required between API implementations and API clients

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A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients.
How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?

• A.Keep the Rate Limiting policy and add 9 Client ID Enforcement policy
• B.Remove the Rate Limiting policy and add an HTTP Caching policy
• C.Remove the Rate Limiting policy and add a Spike Control policy
• D.Keep the Rate Limiting policy and add an SLA-based Spike Control policy

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A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?

• A.Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.
• B.Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager
• C.Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment
• D.Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager

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An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane

• A.Option A
• B.Option B
• C.Option C
• D.Option D

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An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

• A.The API client code only needs to be changed if it needs to take advantage of the new features
• B.The API producer should be requested to run the old version in parallel with the new one
• C.The API producer should be contacted to understand the change to existing functionality
• D.The API clients need to update the code on their side and need to do full regression

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