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The MCPA-Level-1 Exam is an essential certification for individuals who want to demonstrate their expertise in MuleSoft integration and become a certified MuleSoft Platform Architect. This certification is suitable for professionals with experience in integration architecture, API design, and implementation. The certification exam is designed to test a candidate's ability to design and implement efficient, scalable, and secure solutions using MuleSoft's Anypoint Platform. The MCPA-Level-1 Exam is a globally recognized certification, and it provides candidates with a competitive edge in the job market, as well as opportunities for career growth and development in the field of MuleSoft integration.

The MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Certification Exam is designed for professionals who want to demonstrate their expertise in designing, building, and managing integration solutions using the MuleSoft Anypoint Platform. This certification validates the skills necessary to become a successful MuleSoft Certified Platform Architect, which is a highly sought-after position in the industry.

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The MuleSoft MCPA-Level-1 certification exam is divided into two parts: a multiple-choice exam and a practical exam. The multiple-choice exam tests the candidate's knowledge of MuleSoft Anypoint Platform and its various components. The practical exam, on the other hand, evaluates the candidate's ability to design and develop real-world integration solutions using MuleSoft Anypoint Platform. The practical exam is conducted in a virtual environment, and the candidate is given a set of requirements for a specific integration scenario. The candidate is then required to design and build an integration solution that meets the requirements.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q51-Q56):

NEW QUESTION # 51
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?

A. Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order APIB. Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product APIC. Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data modelD. Start an organization-wide data modeling initiative that will result in an Enterprise Data Model that will then be used in both the Product API and the Order API

Answer: A

Explanation:
Correct answer: Convince the development team of the product API to adopt the API data model of the Order API such that integration logic of the Order API can work with one consistent internal data model
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Key details to note from the given scenario:
>> Power relationship between Order API and Product API is customer/supplier So, as per below rules of "Power Relationships", the caller (in this case Order API) would request for features to the called (Product API team) and the Product API team would need to accomodate those requests.


NEW QUESTION # 52
What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?

A. 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 projectsB. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projectsC. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardizationD. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making

Answer: C

Explanation:
Correct answer: 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 # 53
The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?

A. Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchangedB. Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definitionC. Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API versionD. Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation

Answer: A


NEW QUESTION # 54
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?

A. When a particular API client invokes the API too often within a given time periodB. When the API receives a very high number of API invocationsC. When the API is invoked by an unrecognized API clientD. When the response time of API invocations exceeds a threshold

Answer: D


NEW QUESTION # 55
Refer to the 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

B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs

C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)

D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

A. Option AB. Option DC. Option CD. Option B

Answer: D

Explanation:
Correct answer: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.
*****************************************
>> 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.


NEW QUESTION # 56
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