[Oct 21, 2022] New MuleSoft MCPA-Level-1 Dumps with Test Engine and PDF (New Questions) [Q42-Q67]

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[Oct 21, 2022] New MuleSoft MCPA-Level-1  Dumps with Test Engine and PDF (New Questions)

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

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MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Certification Path

MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 exam is foundation level Certification. As such, there is no prerequisite for this course. Anyone who is having a keen interest and familiar with MuleSoft technology is well invited to pursue this certification.

 

NEW QUESTION 42
An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?

  • A. Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control pl
  • B. Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane.
  • C. Use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft Platform control plane.
  • D. Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform con

Answer: D

Explanation:
Explanation/Reference:

 

NEW QUESTION 43
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

  • A. From the Mule runtime or the API implementation, depending on the deployment model
  • B. From the Mule runtime or the API Manager, depending on the type of data
  • C. From the Mule runtime irrespective of the deployment model
  • D. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes

Answer: C

Explanation:
Correct answer: From the Mule runtime irrespective of the deployment model
*****************************************
>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.
>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).
>> Similarly all API Implementations also run on Mule Runtimes.
So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.

 

NEW QUESTION 44
What is a best practice when building System APIs?

  • A. Expose to API clients all technical details of the API implementation's interaction wifch the backend system
  • B. Model all API resources and methods to closely mimic the operations of the backend system
  • C. Document the API using an easily consumable asset like a RAML definition
  • D. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs

Answer: B

Explanation:
Correct answer: Model all API resources and methods to closely mimic the operations of the backend system.
*****************************************
>> There are NO fixed and straight best practices while opting data models for APIs. They are completly contextual and depends on number of factors. Based upon those factors, an enterprise can choose if they have to go with Enterprise Canonical Data Model or Bounded Context Model etc.
>> One should NEVER expose the technical details of API implementation to their API clients. Only the API interface/ RAML is exposed to API clients.
>> It is true that the RAML definitions of APIs should be as detailed as possible and should reflect most of the documentation. However, just that is NOT enough to call your API as best documented API. There should be even more documentation on Anypoint Exchange with API Notebooks etc. to make and create a developer friendly API and repository..
>> The best practice always when creating System APIs is to create their API interfaces by modeling their resources and methods to closely reflect the operations and functionalities of that backend system.

 

NEW QUESTION 45
What best explains the use of auto-discovery in API implementations?

  • A. It enables Anypoint Analytics to gain insight into the usage of APIs
  • B. It enables Anypoint Studio to discover API definitions configured in Anypoint Platform
  • C. It enables Anypoint Exchange to discover assets and makes them available for reuse
  • D. It makes API Manager aware of API implementations and hence enables it to enforce policies

Answer: D

Explanation:
Explanation
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept

 

NEW QUESTION 46
What should be ensured before sharing an API through a public Anypoint Exchange portal?

  • A. The API should be functional with at least an initial implementation deployed and accessible for users to interact with
  • B. The API should be secured using one of the supported authentication/authorization mechanisms to ensure that data is not compromised
  • C. The users needing access to the API should be added to the appropriate role in Anypoint Platform
  • D. The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility

Answer: B

 

NEW QUESTION 47
What correctly characterizes unit tests of Mule applications?

  • A. They must be triggered by an external client tool or event source
  • B. They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity
  • C. They test the validity of input and output of source and target systems
  • D. They must be run in a unit testing environment with dedicated Mule runtimes for the environment

Answer: B

Explanation:
Correct answer: They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity.
*****************************************
Below TWO are characteristics of Integration Tests but NOT unit tests:
>> They test the validity of input and output of source and target systems.
>> They must be triggered by an external client tool or event source.
It is NOT TRUE that Unit Tests must be run in a unit testing environment with dedicated Mule runtimes for the environment.
MuleSoft offers MUnit for writing Unit Tests and they run in an embedded Mule Runtime without needing any separate/ dedicated Runtimes to execute them. They also do NOT need any external connectivity as MUnit supports mocking via stubs.
https://dzone.com/articles/munit-framework

 

NEW QUESTION 48
Mule applications that implement a number of REST APIs are deployed to their own subnet that is inaccessible from outside the organization.
External business-partners need to access these APIs, which are only allowed to be invoked from a separate subnet dedicated to partners - called Partner-subnet. This subnet is accessible from the public internet, which allows these external partners to reach it.
Anypoint Platform and Mule runtimes are already deployed in Partner-subnet. These Mule runtimes can already access the APIs.
What is the most resource-efficient solution to comply with these requirements, while having the least impact on other applications that are currently using the APIs?

  • A. Redeploy the API implementations to the same servers running the Mule runtimes
  • B. Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes
  • C. Add an additional endpoint to each API for partner-enablement consumption
  • D. Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes

Answer: A

 

NEW QUESTION 49
What is typically NOT a function of the APIs created within the framework called API-led connectivity?

  • A. They allow for innovation at the user Interface level by consuming the underlying assets without being aware of how data Is being extracted from backend systems.
  • B. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.
  • C. They can compose data from various sources and combine them with orchestration logic to create higher level value.
  • D. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.

Answer: D

Explanation:
Explanation
https://dzone.com/articles/api-led-connectivity-with-mule

 

NEW QUESTION 50
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 the API receives a very high number of API invocations
  • B. When the API is invoked by an unrecognized API client
  • C. When a particular API client invokes the API too often within a given time period
  • D. When the response time of API invocations exceeds a threshold

Answer: D

 

NEW QUESTION 51
What is a best practice when building System APIs?

  • A. Expose to API clients all technical details of the API implementation's interaction with the backend system
  • B. Document the API using an easily consumable asset like a RAML definition
  • C. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
  • D. Model all API resources and methods to closely mimic the operations of the backend system

Answer: B

Explanation:
Explanation/Reference:

 

NEW QUESTION 52
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?

  • A. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
  • B. The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
  • C. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment
  • D. The API policy Is defined in API Manager and then automatically applied to ALL API instances

Answer: A

 

NEW QUESTION 53
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

  • A. When ALL backend systems in the application network are deployed in the organization's intranet
  • B. When it is required that ALL APIs are private and NOT exposed to the public cloud
  • C. When it Is required to make ALL applications highly available across multiple data centers
  • D. When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data

Answer: A

 

NEW QUESTION 54
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon.
This is the only downstream API dependency of that upstream API.

  • A. The invocation of the downstream API will run to completion without timing out
  • B. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
  • C. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
  • D. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
  • E. An SLA for the upstream API CANNOT be provided

Answer: A

 

NEW QUESTION 55
What is most likely NOT a characteristic of an integration test for a REST API implementation?

  • A. The test prepares a known request payload and validates the response payload
  • B. The test runs immediately after the Mule application has been compiled and packaged
  • C. The test needs all source and/or target systems configured and accessible
  • D. The test is triggered by an external HTTP request

Answer: B

Explanation:
Correct answer: 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 56
Which of the following sequence is correct?

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

Explanation:
Correct answer: 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
An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?

  • A. A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes
  • B. Anypoint Runtime Fabric
  • C. CloudHub
  • D. Anypoint Platform for Pivotal Cloud Foundry

Answer: B

Explanation:
Correct answer: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal approach to go with hybrid model having some Mule Runtimes hosted on Azure and some on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.

 

NEW QUESTION 58
A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?

  • A. When the majority of the applications in the application network are cloud based
  • B. When development is already organized into several independent initiatives or groups
  • C. When there are a large number of existing common assets shared by development teams
  • D. When various teams responsible for creating APIs are new to integration and hence need extensive training

Answer: B

Explanation:
Correct answer: When development is already organized into several independent initiatives or groups
*****************************************
>> It would require lot of process effort in an organization to have a single C4E team coordinating with multiple already organized development teams which are into several independent initiatives. A single C4E works well with different teams having at least a common initiative. So, in this scenario, federated C4E works well instead of centralized C4E.

 

NEW QUESTION 59
A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?

  • A. Functional tests (Blackbox)
  • B. Unit tests (Whitebox)
  • C. Performance tests
  • D. Integration tests

Answer: B

Explanation:
Correct answer: Unit tests (Whitebox)
*****************************************
Reference:
As per general IT testing practice and MuleSoft recommended practice, Integration and Performance tests should be done on full end to end setup for right evaluation. Which means all end systems should be connected while doing the tests. So, these options are OUT and we are left with Unit Tests and Functional Tests.
As per attached reference documentation from MuleSoft:
Unit Tests - are limited to the code that can be realistically exercised without the need to run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows, Custom transformers, Custom components, Custom expression evaluators etc.
Functional Tests - are those that most extensively exercise your application configuration. In these tests, you have the freedom and tools for simulating happy and unhappy paths. You also have the possibility to create stubs for target services and make them success or fail to easily simulate happy and unhappy paths respectively.
As the scenario in the question demands for API implementation to be tested before deployment to Staging and also clearly indicates that there is enough/ sufficient amount of mock data to test the various components of API implementations with no active connections to the backend systems, Unit Tests are the one to be used to incorporate this mocked data.

 

NEW QUESTION 60
When must an API implementation be deployed to an Anypoint VPC?

  • A. When the API Implementation must invoke publicly exposed services that are deployed outside of CloudHub in a customer- managed AWS instance
  • B. When the API Implementation must write to a persistent Object Store
  • C. When the API implementation must be accessible within a subnet of a restricted customer-hosted network that does not allow public access
  • D. When the API implementation must be deployed to a production AWS VPC using the Mule Maven plugin

Answer: C

 

NEW QUESTION 61
A Mule application exposes an HTTPS endpoint and is deployed to the CloudHub Shared Worker Cloud. All traffic to that Mule application must stay inside the AWS VPC.
To what TCP port do API invocations to that Mule application need to be sent?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

Explanation:
Correct answer: 8082
*****************************************
>> 8091 and 8092 ports are to be used when keeping your HTTP and HTTPS app private to the LOCAL VPC respectively.
>> Above TWO ports are not for Shared AWS VPC/ Shared Worker Cloud.
>> 8081 is to be used when exposing your HTTP endpoint app to the internet through Shared LB
>> 8082 is to be used when exposing your HTTPS endpoint app to the internet through Shared LB So, API invocations should be sent to port 8082 when calling this HTTPS based app.
References:
https://docs.mulesoft.com/runtime-manager/cloudhub-networking-guide
https://help.mulesoft.com/s/article/Configure-Cloudhub-Application-to-Send-a-HTTPS-Request-Directly-to-Another-Cloudhub-Application
https://help.mulesoft.com/s/question/0D52T00004mXXULSA4/multiple-http-listerners-on-cloudhub-one-with-port-9090

 

NEW QUESTION 62
An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications.
The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations.
What out-of-the-box Anypoint Platform policy can address exposure to this threat?

  • A. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
  • B. Shut out bad actors by using HTTPS mutual authentication for all API invocations
  • C. Apply a Header injection and removal policy that detects the malicious data before it is used
  • D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors

Answer: D

Explanation:
Correct answer: Apply a JSON threat protection policy to all APIs to detect potential threat vectors
*****************************************
>> Usually, if the APIs are designed and developed for specific consumers (known consumers/customers) then we would IP Whitelist the same to ensure that traffic only comes from them.
>> However, as this scenario states that the APIs are publicly available and being used by so many mobile and web applications, it is NOT possible to identify and blacklist all possible bad actors.
>> So, JSON threat protection policy is the best chance to prevent any bad JSON payloads from such bad actors.

 

NEW QUESTION 63
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

  • A. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
  • B. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • C. Make relevant APIs discoverable via an Anypoint Exchange entry
  • D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Answer: A

 

NEW QUESTION 64
Refer to the exhibit. An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields.
The data is available partially in a database and partially in a 3rd-party CRM system.
What APIs should be created to best fit these design requirements?

A) A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes

B) One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app

C) Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system

D) A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System

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

Answer: C

 

NEW QUESTION 65
An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

  • A. The API producer should be contacted to understand the change to existing functionality
  • B. The API clients need to update the code on their side and need to do full regression
  • C. The API client code only needs to be changed if it needs to take advantage of the new features
  • D. The API producer should be requested to run the old version in parallel with the new one

Answer: C

 

NEW QUESTION 66
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

  • A. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design
  • B. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
  • C. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
  • D. The FQDNs are determined by both the application name and the Anypoint Platform organization

Answer: A

 

NEW QUESTION 67
......


How to Prepare for MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam

Preparation Guide for MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam

Introduction

MuleSoft has a unique community and they have multiple certifications to choose from. Individuals can go ahead and appear for certification which they find suitable as per their expertise and skillset. MuleSoft also recognizes that the community is an important way to engage with its customer base.

Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work on MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 and prove his knowledge, Certification is offered by MuleSoft. This MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Individuals Qualification Certification helps a candidate to validates his skills in MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1. In this guide we will cover mcpa-level-1 practice exams and all the aspects of mcpa-level-1 exam dumps.

 

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