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

Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes

A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?
A customer-hosted load balancer
The CloudHub shared load balancer
An API proxy
Runtime Manager autoscaling

The CloudHub shared load balancer

Explanation: Explanation
Correct Answer: The CloudHub shared load balancer
*****************************************
The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to
handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer loadbalancing
solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among
the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there
are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective
(needs custom load balancer to maintain and licensing) and same time the Mule App is not
having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or
load balancing.
So, the only right option to go with and fits the purpose of scenario being most costeffective
is - using a CloudHub Shared Load Balancer

A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company's IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?
At the experience and process tiers
At the experience and system tiers
At the process and system tiers
At the experience, process, and system tiers

At the process and system tiers

Explanation: Explanation Correct Answer: At the process and system tiers
*****************************************
>> Experience Layer APIs are modeled and designed exclusively for the end user's
experience. So, the data models of experience layer vary based on the nature and type of
such API consumer. For example, Mobile consumers will need light-weight data models to
transfer with ease on the wire, where as web-based consumers will need detailed data
models to render most of the info on web pages, so on. So, enterprise data models fit for
the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in
experience tier.

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