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MuleSoft MCPA-Level-1-Maintenance Exam Syllabus Topics:

Topic Details
Topic 1
  • Select CloudHub worker sizes and configuration as appropriate
  • Specify how and when to promote APIs with API Manager

Topic 2
  • Identify changes to an API that would require or not require a major version increment
  • Explain how to register an API client for access to an API version

Topic 3
  • Correctly use the terms API, API implementation, API client, API consumer, and API invocation
  • Describe the fundamentals of deployments, networking, and routing on CloudHub

Topic 4
  • Identify when redeployment of API implementations is necessary
  • Compare unit and integration tests and specify where MUnit is best employed

Topic 5
  • Break down functional requirements into business-aligned APIs with effective granularity
  • Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency

Topic 6
  • Identify the factors involved in scaling API performance
  • Select strategies that help API clients guard against failures in API invocations

Topic 7
  • Identify single points of failure in typical CloudHub usage
  • Identify the components of Anypoint Platform that generate data for monitoring and alerting


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MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q23-Q28):

NEW QUESTION # 23
Refer to the exhibit.

what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?

  • A. Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure
  • B. The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes
  • C. API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane
  • D. Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications

Answer: C Explanation:
API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane.
****************************************
>> We CANNOT use Shared Load balancer to load balance APIs on customer hosted runtimes

>> For Hybrid deployment models, the on-premises are first connected to Runtime Manager using Runtime Manager agent. So, the connection is initiated first from On-premises to Runtime Manager. Then all control can be done from Runtime Manager.
>> Anypoint Runtime Manager CANNOT ensure automatic HA. Clusters/Server Groups etc should be configured before hand.
Only TRUE statement in the given choices is, API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane. There are several references below to justify this statement.
References:
https://docs.mulesoft.com/runtime-manager/deployment-strategies#hybrid-deployments
https://help.mulesoft.com/s/article/On-Premise-Runtimes-Disconnected-From-US-Control-Plane-June-18th-2018
https://help.mulesoft.com/s/article/Runtime-Manager-cannot-manage-On-Prem-Applications-and-Servers-from-U
https://help.mulesoft.com/s/article/On-premise-Runtimes-Appear-Disconnected-in-Runtime-Manager-May-29th-



NEW QUESTION # 24*
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. An API proxy
  • B. The CloudHub shared load balancer
  • C. Runtime Manager autoscaling
  • D. A customer-hosted load balancer

Answer: B Explanation:
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 load-balancing 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 cost-effective is - using a CloudHub Shared Load Balancer.
NEW QUESTION # 25*
Select the correct Owner-Layer combinations from below options

  • A. 1. Central IT owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. App Developers owns and focuses on System Layer APIs
  • B. 1. App Developers owns and focuses on Experience Layer APIs
    2. Central IT owns and focuses on Process Layer APIs
    3. LOB IT owns and focuses on System Layer APIs
  • C. 1. App Developers owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. Central IT owns and focuses on System Layer APIs

Answer: C Explanation:
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs

References:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership/
NEW QUESTION # 26
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. Performance tests
  • B. Functional tests (Blackbox)
  • C. Integration tests
  • D. Unit tests (Whitebox)

Answer: D Explanation:
Unit tests (Whitebox)
****************************************
NEW QUESTION # 27*
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

  • A. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
  • B. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
  • C. The FQDNs are determined by both the application name and the Anypoint Platform organization
  • D. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design

Answer: B Explanation:
The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex:
exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.
NEW QUESTION # 28
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