Free Access to MuleSoft.MCPA-Level-1.v2025-06-21.q156 with Valid Practice Test (Page 5)

Question 16

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 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
B.Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.
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 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

Question 17

What are 4 important Platform Capabilities offered by Anypoint Platform?

A.API Versioning, API Runtime Execution and Hosting, API Invocation, API Consumer Engagement
B.API Design and Development, API Runtime Execution and Hosting, API Versioning, API Deprecation
C.API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
D.API Design and Development, API Deprecation, API Versioning, API Consumer Engagement

Question 18

An organization requires several APIs to be secured with OAuth 2.0, and PingFederate has been identified as the identity provider for API client authorization, The PingFederate Client Provider is configured in access management, and the PingFederate OAuth 2.0 Token Enforcement policy is configured for the API instances required by the organization. The API instances reside in two business groups (Group A and Group B) within the Master Organization (Master Org).
What should be done to allow API consumers to access the API instances?

A.The API administrator should configure the correct client discovery URL in both child business groups, and the API consumer should request access to the API in Ping Identity
B.The API administrator should grant access to the API consumers by creating contracts in the relevant API instances in API Manager
C.The APL consumer should create a client application and request access to the APT in Anypoint Exchange, and the API administrator should approve the request
D.The APT consumer should create a client application and request access to the API in Ping Identity, and the organization's Ping Identity workflow will grant access

Question 19

Which component monitors APIs and endpoints at scheduled intervals, receives reports about whether tests pass or fail, and displays statistics about API and endpoint performance?

A.API Analytics
B.Anypoint Monitoring dashboards
C.APT Functional Monitoring
D.Anypoint Runtime Manager alerts

Correct Answer: C

* Understanding API Functional Monitoring:
* API Functional Monitoring is a feature within MuleSoft's Anypoint Platform that enables users to monitor the health and performance of APIs and endpoints by running functional tests at scheduled intervals.
* It checks whether APIs are functioning as expected by running test calls and then evaluating if the response meets the desired conditions. This is particularly useful for testing endpoint availability, checking for specific data in responses, and measuring API performance over time.
* Component Features:
* Scheduled Intervals: Functional monitoring allows configuring tests to run at regular intervals, such as every minute, hour, or day, depending on the monitoring requirements.
* Reports on Test Pass/Fail Status: After each test run, API Functional Monitoring reports whether the API passed or failed the test conditions.
* Performance Statistics: It displays metrics like average response time, success rate, and error rates, giving insights into API health and performance.
* Evaluating the Options:
* Option A (API Analytics): API Analytics provides insights on API usage and metrics but does not involve scheduled tests for pass/fail status or endpoint health checks.
* Option B (Anypoint Monitoring Dashboards): These dashboards display API metrics but do not actively test API endpoints or provide pass/fail reporting on a scheduled basis.
* Option C (Correct Answer): API Functional Monitoring fits the description, as it is designed to monitor API and endpoint health with scheduled test runs and display statistics about performance.
* Option D (Anypoint Runtime Manager Alerts): Runtime Manager alerts notify users of issues with application status but do not actively test endpoints at scheduled intervals.
* Conclusion:
* Option C (API Functional Monitoring) is the correct answer because it provides the necessary tools to test API functionality, monitor endpoint health, and display performance statistics in real- time.
Refer to MuleSoft documentation on API Functional Monitoring for further guidance on setting up and configuring these tests in Anypoint Platform.

Question 20

A client has several applications running on the Salesforce service cloud. The business requirement for integration is to get daily data changes from Account and Case Objects. Data needs to be moved to the client's private cloud AWS DynamoDB instance as a single JSON and the business foresees only wanting five attributes from the Account object, which has 219 attributes (some custom) and eight attributes from the Case Object.
What design should be used to support the API/ Application data model?

A.Create separate entities for Account and Case Objects by mimicking all the attributes in SAPI, which are combined by the PAPI and filtered to provide JSON output containing 13 attributes.
B.Request client's AWS project team to replicate all the attributes and create Account and Case JSON table in DynamoDB. Then create separate entities for Account and Case Objects by mimicking all the attributes in SAPI to transfer ISON data to DynamoD for respective Objects
C.Start implementing an Enterprise Data Model by defining enterprise Account and Case Objects and implement SAPI and DynamoDB tables based on the Enterprise Data Model,
D.Create separate entities for Account with five attributes and Case with eight attributes in SAPI, which are combined by the PAPI to provide JSON output containing 13 attributes.

Question 16

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Question 18

Question 19

Question 20

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