Which of the following best fits the definition of API-led connectivity?
A.
API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization
B.
API-led connectivity is a 3-layered architecture covering Experience, Process and System layers
C.
API-led connectivity is a technology which enabled us to implement Experience, Process and System layer based APIs
API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization
Explanation: Explanation
Correct Answer: API-led connectivity is not just an architecture or technology but also a
way to organize people and processes for efficient IT delivery in the organization.
*****************************************
Reference: https://blogs.mulesoft.com/dev/api-dev/what-is-api-led-connectivity/
An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?
A.
Anypoint Runtime Fabric
B.
Anypoint Platform for Pivotal Cloud Foundry
C.
CloudHub
D.
A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes
Anypoint Runtime Fabric
Explanation: Explanation
Correct Answer: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal
approach to go with hybrid model having some Mule Runtimes hosted on Azure and some
on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to
point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by
Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the
deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs
within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and
bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.
Reference: https://docs.mulesoft.com/runtime-fabric/1.7/
What is a key performance indicator (KPI) that measures the success of a typical C4E that is immediately apparent in responses from the Anypoint Platform APIs?
A.
The number of production outage incidents reported in the last 24 hours
B.
The number of API implementations that have a publicly accessible HTTP endpoint and are being managed by Anypoint Platform
C.
The fraction of API implementations deployed manually relative to those deployed using a CI/CD tool
D.
The number of API specifications in RAML or OAS format published to Anypoint
Exchange
The number of API specifications in RAML or OAS format published to Anypoint
Exchange
Explanation: Explanation
Correct Answer: The number of API specifications in RAML or OAS format published to
Anypoint Exchange
*****************************************
>> The success of C4E always depends on their contribution to the number of reusable
assets that they have helped to build and publish to Anypoint Exchange.
>> It is NOT due to any factors w.r.t # of outages, Manual vs CI/CD deployments or
Publicly accessible HTTP endpoints
>> Anypoint Platform APIs helps us to quickly run and get the number of published
RAML/OAS assets to Anypoint Exchange. This clearly depicts how successful a C4E team
is based on number of returned assets in the response.
Reference: https://help.mulesoft.com/s/question/0D52T00004mXSTUSA4/how-should-acompany-
measure-c4e-success
An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and
experience APIs share the same bounded-context model that is different from the backend
data model. What additional canonical models, bounded-context models, or anti-corruption
layers are best added to this architecture to help process data consumed from the backend
system?
A.
Create a bounded-context model for every layer and overlap them when the boundary
contexts overlap, letting API developers know about the differences between upstream and
downstream data models
B.
Create a canonical model that combines the backend and API-led models to simplify
and unify data models, and minimize data transformations.
C.
Create a bounded-context model for the system layer to closely match the backend data
model, and add an anti-corruption layer to let the different bounded contexts cooperate
across the system and process layers
D.
Create an anti-corruption layer for every API to perform transformation for every data
model to match each other, and let data simply travel between APIs to avoid the complexity
and overhead of building canonical models
Create a bounded-context model for the system layer to closely match the backend data
model, and add an anti-corruption layer to let the different bounded contexts cooperate
across the system and process layers
Explanation: Explanation
Correct Answer: Create a bounded-context model for the system layer to closely match the
backend data model, and add an anti-corruption layer to let the different bounded contexts
cooperate across the system and process layers
*****************************************
>> Canonical models are not an option here as the organization has already put in efforts
and created bounded-context models for Experience and Process APIs.
>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned
that experience and process APIs share same bounded-context model. It is just the System
layer APIs that need to choose their approach now.
>> So, having an anti-corruption layer just between the process and system layers will work
well. Also to speed up the approach, system APIs can mimic the backend system data
model.
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
A.
Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs
B.
Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
C.
By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
D.
API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
Explanation: Explanation
Correct Answer: By default, the Anypoint CLI and Mule Maven plugin are NOT included in
the Mule runtime, so are NOT available to be used by deployed Mule applications
*****************************************
>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our
custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub
and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is
FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule
runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory
requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately
control access for some users to have Anypoint CLI and others to have Anypoint Platform
APIs. With proper general roles/permissions (API Owner, Cloudhub Admin etc..), one can
use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is
FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin
are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule
applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or
automation.
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