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MuleSoft MCPA-Level-1 Exam Syllabus Topics:

Topic	Details
Topic 1	identify API policies that are typically applied to that layer and the scenarios needing custom policies
Topic 2	Assign APIs to layers according to ownership, functional focus, and rate of change Describe the purpose and roles of a Center for Enablement
Topic 3	Identify changes to an API that would require or not require a major version increment Describe the role and characteristics of the "modern API
Topic 4	Recommend the use of an Enterprise Data Model or Bounded Context Data Models Identify KPIs to measure the success of a C4E
Topic 5	Identify any change required in the corresponding RAML definition Describe the capabilities and high-level components of Anypoint Platform

Key Components of MCPA - 1

MCPA – Level 1 is an evaluation of your skills in employing the tenets of API-led connectivity as well as your capacity to lead an Anypoint Platform strategy. It is a proctored 58-item multiple-choice exam answerable for 2 hours. Knowing the core topics for this test will certainly guide you on what to focus more on. >> Reliable MCPA-Level-1 Practice Questions <<

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How to book the MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam

These are the following steps for registering the MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 exam.

• Step 1: Visit MuleSoft Exam Registration.
• Step 2: Sign up/log in to the MuleSoft account.
• Step 3: Select a local center based on your country, date, time, and confirm with a payment method.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q65-Q70):

NEW QUESTION # 65
What do the API invocation metrics provided by Anypoint Platform provide?

• A. Measurements of the effectiveness of the application network based on the level of reuse
• B. Data on past API invocations to help identify anomalies and usage patterns across various APIs
• C. Proactive identification of likely future policy violations that exceed a given threat threshold
• D. ROI metrics from APIs that can be directly shared with business users

Answer: A Explanation:
Explanation/Reference: https://usermanual.wiki/Document/APAAppNetstudentManual02may2018.991784750.pdf
NEW QUESTION # 66
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 period
• B. When the response time of API invocations exceeds a threshold
• C. When the API receives a very high number of API invocations
• D. When the API is invoked by an unrecognized API client

Answer: A
NEW QUESTION # 67
Refer to the exhibit.

A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.
The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.
What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?
A) Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console

B) Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML

C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it

D) Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: A Explanation:
Correct answer: Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.

NEW QUESTION # 68*
What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?

• A. They must ensure ALL data is encrypted both in transit and at rest
• B. They must use a Jurisdiction-local external messaging system such as Active MQ rather than Anypoint MQ
• C. They must te deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction
• D. They must avoid using the Object Store as it depends on services deployed ONLY to the US East region

Answer: C
NEW QUESTION # 69
An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

• A. Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.
• B. Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models
• C. Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
• D. Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

Answer: C Explanation:
Correct answer: Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
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>> Canonical models are not an option here as the organization has already put in efforts and created bounded-context models for Experience and Process APIs.
>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned that experience and process APIs share same bounded-context model. It is just the System layer APIs that need to choose their approach now.
>> So, having an anti-corruption layer just between the process and system layers will work well. Also to speed up the approach, system APIs can mimic the backend system data model.
NEW QUESTION # 70
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