A company deployed an API to a single worker/replica in the shared cloud in the U.S. West Region. What happens when the Availability Zone experiences an outage?
A. CloudHub will auto-redeploy the APL in the U.S. East Region
B. The APT will be unavailable until the availability comes back online, at which time the worker/replica will be auto-restarted
C. CloudHub will auto-redeploy the API in another Availability Zone in the U.S. West Region
D. The Anypoint Platform admin is alerted when the AP] is experiencing an outage and needs the trigger the CI/CD pipeline to redeploy to the US. East Region
Explanation:
In a CloudHub deployment with a single worker/replica located in a specific
Availability Zone (AZ), if an AZ experiences an outage, here’s what happens:
Worker Availability: Since the application is deployed in a single AZ, CloudHub
does not automatically redeploy the application in a different zone or region during
an outage. Thus, if the current AZ is unavailable, the application will be offline.
Auto-Restart upon AZ Recovery: Once the affected AZ is back online, CloudHub
will auto-restart the worker in the same AZ without manual intervention. This ensures that as soon as the AZ is functional, the application resumes
automatically.
A set of tests must be performed prior to deploying API implementations to a staging
environment. Due to data security and access restrictions, untested APIs cannot be
granted access to the backend systems, so instead mocked data must be used for these
tests. The amount of available mocked data and its contents is sufficient to entirely test the
API implementations with no active connections to the backend systems. What type of
tests should be used to incorporate this mocked data?
A.
Integration tests
B.
Performance tests
C.
Functional tests (Blackbox)
D.
Unit tests (Whitebox)
Unit tests (Whitebox)
Explanation: Explanation
Correct Answer: Unit tests (Whitebox)
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Reference: https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies
As per general IT testing practice and MuleSoft recommended practice, Integration and
Performance tests should be done on full end to end setup for right evaluation. Which
means all end systems should be connected while doing the tests. So, these options are
OUT and we are left with Unit Tests and Functional Tests.
As per attached reference documentation from MuleSoft:
Unit Tests - are limited to the code that can be realistically exercised without the need to
run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows,
Custom transformers, Custom components, Custom expression evaluators etc.
Functional Tests - are those that most extensively exercise your application configuration.
In these tests, you have the freedom and tools for simulating happy and unhappy paths.
You also have the possibility to create stubs for target services and make them success or
fail to easily simulate happy and unhappy paths respectively.
As the scenario in the question demands for API implementation to be tested before
deployment to Staging and also clearly indicates that there is enough/ sufficient amount of
mock data to test the various components of API implementations with no active
connections to the backend systems, Unit Tests are the one to be used to incorporate this
A team is planning to enhance an Experience API specification, and they are following APIled connectivity design principles. What is their motivation for enhancing the API?
A. The primary API consumer wants certain kinds of endpoints changed from the Center for Enablement standard to the consumer system standard
B. The underlying System API is updated to provide more detailed data for several heavily used resources
C. An IP Allowlist policy is being added to the API instances in the Development and Staging environments
D. A Canonical Data Model is being adopted that impacts several types of data included in the API
Explanation:
In API-led design, an Experience API is enhanced to improve how data is
delivered to end-user applications. One primary reason to enhance an Experience API is
when new data standards, such as a Canonical Data Model, are adopted. Here’s why:
Which two statements are true about the technology architecture of an Anypoint Virtual
Private Cloud (VPC)?
(Choose 2 answers)
A. Ports 8081 and 8082 are used
B. CIDR blacks are used
C. Anypoint VPC is responsible for load balancing the applications
D. Round-robin load balancing is used to distribute client requests across different applications
E. By default, HTTP requests can be made from the public internet to workers at port 6091
Explanation:
An Anypoint Virtual Private Cloud (VPC) provides a secure and private
networking environment for MuleSoft applications, using specific architectural elements:
An operations team is analyzing the effort needed to set up monitoring of their application network. They are looking at which API invocation metrics can be used to identify and predict trouble without having to write custom scripts or install additional analytics software or tools. Which type of metrics can satisfy this goal of directly identifying and predicting failures?
A. The number and types of API policy violations per day
B. The effectiveness of the application network based on the level of reuse
C. The number and types of past API invocations across the application network
D. The ROI from each APT invocation
Explanation:
To monitor an application network and predict issues without custom scripts,
policy violation metrics are critical. They provide insights into potential problems by
tracking instances where API usage does not conform to defined policies. Here’s why this
approach is suitable:
Refer to the exhibits.
A. Option A
B. Option B
C. Option C
D. Option D
An API with multiple API implementations (Mule applications) is deployed to both CloudHub and customer-hosted Mule runtimes. All the deployments are managed by the MuleSoft-hosted control plane. An alert needs to be triggered whenever an API implementation stops responding to API requests, even if no API clients have called the API implementation for some time. What is the most effective out-of-the-box solution to create these alerts to monitor the API implementations?
A. Create monitors in Anypoint Functional Monitoring for the API implementations, where each monitor repeatedly invokes an API implementation endpoint
B. Add code to each API client to send an Anypoint Platform REST API request to generate a custom alert in Anypoint Platform when an API invocation times out
C. Handle API invocation exceptions within the calling API client and raise an alert from that API client when such an exception is thrown
D. Configure one Worker Not Responding alert.in Anypoint Runtime Manager for all API implementations that will then monitor every API implementation
Explanation:
In scenarios where multiple API implementations are deployed across
different environments (CloudHub and customer-hosted runtimes), Anypoint Functional
Monitoring is the most effective tool to monitor API availability and trigger alerts when an
API implementation becomes unresponsive. Here’s how it works:
A Mule application exposes an HTTPS endpoint and is deployed to the CloudHub Shared Worker Cloud. All traffic to that Mule application must stay inside the AWS VPC. To what TCP port do API invocations to that Mule application need to be sent?
A.
443
B.
8081
C.
8091
D.
8082
8082
Explanation: Explanation
Correct Answer: 8082
*****************************************
>> 8091 and 8092 ports are to be used when keeping your HTTP and HTTPS app private
to the LOCAL VPC respectively.
>> Above TWO ports are not for Shared AWS VPC/ Shared Worker Cloud.
>> 8081 is to be used when exposing your HTTP endpoint app to the internet through
Shared LB
>> 8082 is to be used when exposing your HTTPS endpoint app to the internet through
Shared LB
So, API invocations should be sent to port 8082 when calling this HTTPS based app.
References:
https://docs.mulesoft.com/runtime-manager/cloudhub-networking-guide
https://help.mulesoft.com/s/article/Configure-Cloudhub-Application-to-Send-a-HTTPSRequest-
Directly-to-Another-Cloudhub-Application
https://help.mulesoft.com/s/question/0D52T00004mXXULSA4/multiple-http-listerners-oncloudhub-
one-with-port-9090
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