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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 when redeployment of API implementations is necessary Compare unit and integration tests and specify where MUnit is best employed
Topic 3	Break down functional requirements into business-aligned APIs with effective granularity Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency
Topic 4	Describe the metrics collected by Anypoint Platform for API invocations Specify alerts to define for key metrics of API invocations for all layers of API-led connectivity
Topic 5	Define and describe the benefits of API-led connectivity and application networks Explain MuleSoft’s proposal for closing the IT delivery gap
Topic 6	Identify the factors involved in scaling API performance Select strategies that help API clients guard against failures in API invocations
Topic 7	Describe the purpose and roles of a Center for Enablement (C4E) Describe the capabilities and high-level components of Anypoint Platform
Topic 8	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 9	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 10	Identify single points of failure in typical CloudHub usage Identify the components of Anypoint Platform that generate data for monitoring and alerting

MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q52-Q57):

NEW QUESTION # 52
When could the API data model of a System API reasonably mimic the data model exposed by the corresponding backend system, with minimal improvements over the backend system's data model?

• A. When a pragmatic approach with only limited isolation from the backend system is deemed appropriate
• B. When the corresponding backend system is expected to be replaced in the near future
• C. When the System API can be assigned to a bounded context with a corresponding data model
• D. When there is an existing Enterprise Data Model widely used across the organization

Answer: A Explanation:
When a pragmatic approach with only limited isolation from the backend system is deemed appropriate.
****************************************
General guidance w.r.t choosing Data Models:
>> If an Enterprise Data Model is in use then the API data model of System APIs should make use of data types from that Enterprise Data Model and the corresponding API implementation should translate between these data types from the Enterprise Data Model and the native data model of the backend system.
>> If no Enterprise Data Model is in use then each System API should be assigned to a Bounded Context, the API data model of System APIs should make use of data types from the corresponding Bounded Context Data Model and the corresponding API implementation should translate between these data types from the Bounded Context Data Model and the native data model of the backend system. In this scenario, the data types in the Bounded Context Data Model are defined purely in terms of their business characteristics and are typically not related to the native data model of the backend system. In other words, the translation effort may be significant.
>> If no Enterprise Data Model is in use, and the definition of a clean Bounded Context Data Model is considered too much effort, then the API data model of System APIs should make use of data types that approximately mirror those from the backend system, same semantics and naming as backend system, lightly sanitized, expose all fields needed for the given System API's functionality, but not significantly more and making good use of REST conventions.
The latter approach, i.e., exposing in System APIs an API data model that basically mirrors that of the backend system, does not provide satisfactory isolation from backend systems through the System API tier on its own.
In particular, it will typically not be possible to "swap out" a backend system without significantly changing all System APIs in front of that backend system and therefore the API implementations of all Process APIs that depend on those System APIs! This is so because it is not desirable to prolong the life of a previous backend system's data model in the form of the API data model of System APIs that now front a new backend system.
The API data models of System APIs following this approach must therefore change when the backend system is replaced.
On the other hand:
>> It is a very pragmatic approach that adds comparatively little overhead over accessing the backend system directly
>> Isolates API clients from intricacies of the backend system outside the data model (protocol, authentication, connection pooling, network address, ...)
>> Allows the usual API policies to be applied to System APIs
>> Makes the API data model for interacting with the backend system explicit and visible, by exposing it in the RAML definitions of the System APIs
>> Further isolation from the backend system data model does occur in the API implementations of the Process API tier
NEW QUESTION # 53*
Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?

• A. Process Layer
• B. System Layer
• C. Experience Layer

Answer: B Explanation:
System Layer

The APIs used in an API-led approach to connectivity fall into three categories:
System APIs - these usually access the core systems of record and provide a means of insulating the user from the complexity or any changes to the underlying systems. Once built, many users, can access data without any need to learn the underlying systems and can reuse these APIs in multiple projects.
Process APIs - These APIs interact with and shape data within a single system or across systems (breaking down data silos) and are created here without a dependence on the source systems from which that data originates, as well as the target channels through which that data is delivered.
Experience APIs - Experience APIs are the means by which data can be reconfigured so that it is most easily consumed by its intended audience, all from a common data source, rather than setting up separate point-to-point integrations for each channel. An Experience API is usually created with API-first design principles where the API is designed for the specific user experience in mind.
NEW QUESTION # 54
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 prepares a known request payload and validates the response payload
• C. The test is triggered by an external HTTP request
• D. The test runs immediately after the Mule application has been compiled and packaged

Answer: D Explanation:
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.
NEW QUESTION # 55*
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?

• A. Persistent Object Store
• B. java.util.WeakHashMap
• C. File-based storage
• D. Redis distributed cache

Answer: A Explanation:
Persistent Object Store
****************************************
>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from scratch using Java code and is limited to the JVM where it is running. Which means the state in the cache is not worker aware when running on multiple workers. This type of cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform which is performant as well as worker aware among multiple workers running on CloudHub. https://docs.mulesoft.com/object-store/ So, Persistent Object Store is the right answer.
NEW QUESTION # 56*
Which of the following sequence is correct?

• A. API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation
• B. API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to >> API Implementation
• C. API Consumer implementes logic to call an API >> API Client requests access to API >> API Implementation routes the request to >> API
• D. API Client implementes logic to call an API >> API Consumer requests access to API >> API Implementation routes the request to >> API

Answer: A Explanation:
API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation
****************************************
>> API consumer does not implement any logic to invoke APIs. It is just a role. So, the option stating "API Consumer implementes logic to call an API" is INVALID.
>> API Implementation does not route any requests. It is a final piece of logic where functionality of target systems is exposed. So, the requests should be routed to the API implementation by some other entity. So, the options stating "API Implementation routes the request to >> API" is INVALID
>> The statements in one of the options are correct but sequence is wrong. The sequence is given as "API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to
>> API Implementation". Here, the statements in the options are VALID but sequence is WRONG.
>> Right option and sequence is the one where API consumer first requests access to API on Anypoint Exchange and obtains client credentials. API client then writes logic to call an API by using the access client credentials requested by API consumer and the requests will be routed to API implementation via the API which is managed by API Manager.
NEW QUESTION # 57
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