A large company wants to implement IT infrastructure in its own data center, based on the corporate IT policy requirements that data and metadata reside locally. Which combination of Mule control plane and Mule runtime plane(s) meets the requirements?
A. Anypoint Platform Private Cloud Edition for the control plane and the MuleSoft-hosted runtime plane
B. The MuleSoft-hosted control plane and Anypoint Runtime Fabric for the runtime plane
C. The MuleSoft-hosted control plane and customer-hosted Mule runtimes for the runtime plane
D. Anypoint Platform Private Cloud Edition for the control plane and customer-hosted Mule runtimes for the runtime plane
Explanation:
An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist
the cache's state?
A.
When there are three CloudHub deployments of the API implementation to three
separate CloudHub regions that must share the cache state
B.
When there are two CloudHub deployments of the API implementation by two Anypoint
Platform business groups to the same CloudHub region that must share the cache state
C.
When there is one deployment of the API implementation to CloudHub and anottV
deployment to a customer-hosted Mule runtime that must share the cache state
D.
When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state
When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state
Explanation: Explanation
Correct Answer: When there is one CloudHub deployment of the API implementation to
three CloudHub workers that must share the cache state.
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Key details in the scenario:
>> Use the CloudHub Object Store via the Object Store connector
Considering above details:
>> CloudHub Object Stores have one-to-one relationship with CloudHub Mule Applications.
>> We CANNOT use an application's CloudHub Object Store to be shared among multiple
Mule applications running in different Regions or Business Groups or Customer-hosted
Mule Runtimes by using Object Store connector.
>> If it is really necessary and very badly needed, then Anypoint Platform supports a way
by allowing access to CloudHub Object Store of another application using Object Store
REST API. But NOT using Object Store connector.
So, the only scenario where we can use the CloudHub Object Store via the Object Store
connector to persist the cache’s state is when there is one CloudHub deployment of the
API implementation to multiple CloudHub workers that must share the cache state
What is typically NOT a function of the APIs created within the framework called API-led connectivity?
A.
They provide an additional layer of resilience on top of the underlying backend system,
thereby insulating clients from extended failure of these systems.
B.
They allow for innovation at the user Interface level by consuming the underlying assets
without being aware of how data Is being extracted from backend systems.
C.
They reduce the dependency on the underlying backend systems by helping unlock data
from backend systems In a reusable and consumable way.
D.
They can compose data from various sources and combine them with orchestration logic to create higher level value.
They provide an additional layer of resilience on top of the underlying backend system,
thereby insulating clients from extended failure of these systems.
Explanation: Explanation
Correct Answer: They provide an additional layer of resilience on top of the underlying
backend system, thereby insulating clients from extended failure of these systems.
*****************************************
In API-led connectivity,
>> Experience APIs - allow for innovation at the user interface level by consuming the
underlying assets without being aware of how data is being extracted from backend
systems.
>> Process APIs - compose data from various sources and combine them with
orchestration logic to create higher level value
>> System APIs - reduce the dependency on the underlying backend systems by helping
unlock data from backend systems in a reusable and consumable way.
However, they NEVER promise that they provide an additional layer of resilience on top of
the underlying backend system, thereby insulating clients from extended failure of these
systems.
https://dzone.com/articles/api-led-connectivity-with-mule
To minimize operation costs, a customer wants to use a CloudHub 1.0 solution. The
customer's requirements are:
A. One production and one non-production Virtual Private Cloud (VPC).
Use availability zones to differentiate between Business groups.
Allocate maximum CIDR per VPCs to ensure HA across availability zones
B. One production and one non-production Virtual Private Cloud (VPC) per Business
group.
Minimize CIDR aligning with projected application total.
Choose a MuleSoft CloudHub 1.0 region with multiple availability zones.
Deploy multiple workers for HA,
C. One production and one non-production Virtual Private Cloud (VPC) per Business
group.
Minimize CIDR aligning with projected application total.
Divide availability zones during deployment of APIs for HA.
D. One production and one non-production Virtual Private Claud (VPC).
Configure subnet to differentiate between business groups.
Allocate maximum CIDR per VPCs to make it easier to add Child groups.
Span VPC to cover three availability zones.
An organization has built an application network following the API-led connectivity approach recommended by MuleSoft. To protect the application network against attacks from malicious external API clients, the organization plans to apply JSON Threat Protection policies. To which API-led connectivity layer should the JSON Threat Protection policies most commonly be applied?
A. All layers
B. System layer
C. Process layer
D. Experience layer
What is most likely NOT a characteristic of an integration test for a REST API
implementation?
A.
The test needs all source and/or target systems configured and accessible
B.
The test runs immediately after the Mule application has been compiled and packaged
C.
The test is triggered by an external HTTP request
D.
The test prepares a known request payload and validates the response payload
The test runs immediately after the Mule application has been compiled and packaged
Explanation: Explanation
Correct Answer: The test runs immediately after the Mule application has been compiled
and packaged
*****************************************
>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So,
external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and
packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been
compiled and packaged.
Reference: https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies#integrationtesting
Refer to the exhibit.
A.
Option A
B.
Option B
C.
Option C
D.
Option D
Option A
Explanation: Explanation
Correct Answer: Ask the Marketing Department to interact with a mocking implementation
of the API using the automatically generated API Console.
*****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to
Anypoint Exchange which also will be rich in documentation covering all details of API
functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the
API using its mocking feature. The feedback can be shared quickly on the same to
incorporate any changes.
A customer has an ELA contract with MuleSoft. An API deployed to CloudHub is consistently experiencing performance issues. Based on the root cause analysis, it is determined that autoscaling needs to be applied. How can this be achieved?
A. Configure a policy so that when the number of HTTP requests reaches a certain threshold the number of workers/replicas increases (horizontal scaling)
B. Configure two separate policies: When CPU and memory reach certain threshold, increase the worker/replica type (vertical sealing) and the number of workers/replicas (horizontal sealing)
C. Configure a policy based on CPU usage so that CloudHub auto-adjusts the number of workers/replicas (horizontal scaling)
D. Configure a policy so that when the response time reaches a certain threshold the worker/replica type increases (vertical scaling)
Explanation:
In MuleSoft CloudHub, autoscaling is essential to managing application load
efficiently. CloudHub supports horizontal scaling based on CPU usage, which is wellsuited
to applications experiencing variable demand and needing responsive resource
allocation.
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