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QUESTION 6

What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

Correct Answer: C
Correct Answer:: When regulatory requirements mandate on-premises processing of EVERY data item,
including meta-data.
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We need NOT require to use Anypoint Platform PCE or PCF for the below. So these options are OUT.
>> We can make ALL applications highly available across multiple data centers using CloudHub too.
>> We can use Anypoint VPN and tunneling from CloudHub to connect to ALL backend systems in the application network that are deployed in the organization's intranet.
>> We can use Anypoint VPC and Firewall Rules to make ALL APIs private and NOT exposed to the public cloud.
Only valid reason in the given options that requires to use Anypoint Platform PCE/ PCF is - When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data.

QUESTION 7

Refer to the exhibit.
MCPA-Level-1-Maintenance dumps exhibit
What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level
MCPA-Level-1-Maintenance dumps exhibit
B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs
MCPA-Level-1-Maintenance dumps exhibit
C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)
MCPA-Level-1-Maintenance dumps exhibit
D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs
MCPA-Level-1-Maintenance dumps exhibit

Correct Answer: B

Correct Answer:: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.
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>> All customizations for the end-user application should be handled in "Experience API" only. Not in Process API
>> We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.
>> Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.
So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.

QUESTION 8

What Anypoint Platform Capabilities listed below fall under APIs and API Invocations/Consumers category? Select TWO.

Correct Answer: D
Correct Answers: API Operations and Management and API Consumer Engagement
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>> API Design and Development
- Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting
- Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management
- Anypoint API Manager, Anypoint Exchange
>> API Consumer Management
- API Contracts, Public Portals, Anypoint Exchange, API Notebooks
MCPA-Level-1-Maintenance dumps exhibit
Bottom of Form Top of Form

QUESTION 9

What are 4 important Platform Capabilities offered by Anypoint Platform?

Correct Answer: C
Correct Answer:: API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
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>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks
MCPA-Level-1-Maintenance dumps exhibit

QUESTION 10

Refer to the exhibit.
MCPA-Level-1-Maintenance dumps exhibit
Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget
In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities
MCPA-Level-1-Maintenance dumps exhibit
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices
MCPA-Level-1-Maintenance dumps exhibit
C) Build all API data models using XML schema to drive consistency and reuse across the organization
MCPA-Level-1-Maintenance dumps exhibit
D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant
MCPA-Level-1-Maintenance dumps exhibit

Correct Answer: A

Correct Answer:: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
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>> The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
>> Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.