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

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

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

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

• 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

• Governing APIs on Anypoint Platform
• Select appropriate API policies to enforce non-functional constraints on API invocations

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

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

• Define and describe the benefits of API-led connectivity and application networks
• Explain MuleSoft’s proposal for closing the IT delivery gap

• Describe the purpose and roles of a Center for Enablement (C4E)
• Describe the capabilities and high-level components of Anypoint Platform

• Identify KPIs to measure the success of a C4E
• Select Anypoint Platform identity management vs client management for the correct purpose

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

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MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q73-Q78):

NEW QUESTION # 73
When must an API implementation be deployed to an Anypoint VPC?

• A. When the API implementation must be accessible within a subnet of a restricted customer-hosted network that does not allow public access
• B. When the API implementation must be deployed to a production AWS VPC using the Mule Maven plugin
• C. When the API Implementation must invoke publicly exposed services that are deployed outside of CloudHub in a customer- managed AWS instance
• D. When the API Implementation must write to a persistent Object Store

Answer: C

NEW QUESTION # 74
An API implementation is updated. When must the RAML definition of the API also be updated?

• A. When the API implementation changes the structure of the request or response messages
• B. When the API implementation is optimized to improve its average response time
• C. When the API implementation is migrated from an older to a newer version of the Mule runtime
• D. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system

Answer: A

Explanation:
When the API implementation changes the structure of the request or response messages
*****************************************
>> RAML definition usually needs to be touched only when there are changes in the request/response schemas or in any traits on API.
>> It need not be modified for any internal changes in API implementation like performance tuning, backend system migrations etc..

NEW QUESTION # 75
What is typically NOT a function of the APIs created within the framework called API-led connectivity?

• A. They can compose data from various sources and combine them with orchestration logic to create higher level value.
• B. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
• C. 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.
• D. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.

Answer: B

Explanation:
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

NEW QUESTION # 76
A System API is designed to retrieve data from a backend system that has scalability challenges. What API policy can best safeguard the backend system?

• A. Auth 2 token enforcement
• B. SLA-based rate limiting
• C. Client ID enforcement
• D. IPwhitelist

Answer: B

Explanation:
SLA-based rate limiting
*****************************************
>> Client Id enforement policy is a "Compliance" related NFR and does not help in maintaining the "Quality of Service (QoS)". It CANNOT and NOT meant for protecting the backend systems from scalability challenges.
>> IP Whitelisting and OAuth 2.0 token enforcement are "Security" related NFRs and again does not help in maintaining the "Quality of Service (QoS)". They CANNOT and are NOT meant for protecting the backend systems from scalability challenges.
Rate Limiting, Rate Limiting-SLA, Throttling, Spike Control are the policies that are "Quality of Service (QOS)" related NFRs and are meant to help in protecting the backend systems from getting overloaded.
https://dzone.com/articles/how-to-secure-apis

NEW QUESTION # 77
What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?

• A. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects
• B. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
• C. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making
• D. Create a lean and agile organization that makes many small decisions everyday; this speeds up decision making and enables each line of business to take ownership of its projects

Answer: B

Explanation:
Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
*****************************************
>> The main motto of the new IT Operating Model that MuleSoft recommends and made popular is to change the way that they are delivered from a production model to a production + consumption model, which is done through an API strategy called API-led connectivity.
>> The assets built should also be discoverable and self-serveable for reusablity across LOBs and organization.
>> MuleSoft's IT operating model does not talk about SDLC model (Agile/ Lean etc) or MDM at all. So, options suggesting these are not valid.
References:
https://blogs.mulesoft.com/biz/connectivity/what-is-a-center-for-enablement-c4e/
https://www.mulesoft.com/resources/api/secret-to-managing-it-projects

NEW QUESTION # 78
......

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