MCPA-Level-1 Dumps PDF 2022 Strategy Your Preparation Efficiently [Q21-Q39]

21 Sep, 2022 By admin MCPA-Level-1, MuleSoft 0 Comments

MCPA-Level-1 Dumps PDF 2022 Strategy Your Preparation Efficiently [Q21-Q39]

Rate this post

MCPA-Level-1 Dumps PDF 2022 Strategy Your Preparation Efficiently

Latest Verified & Correct MuleSoft MCPA-Level-1 Questions

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.

MuleSoft MCPA-Level-1 Exam Syllabus Topics:

Topic	Details
Topic 1	Assign APIs to layers according to ownership, functional focus, and rate of change Describe the purpose and roles of a Center for Enablement
Topic 2	Identify any change required in the corresponding RAML definition Describe the capabilities and high-level components of Anypoint Platform
Topic 3	Recommend the use of an Enterprise Data Model or Bounded Context Data Models Identify KPIs to measure the success of a C4E
Topic 4	When asynchronous execution of API invocations is needed, select when to appropriately use polling or callbacks Correctly use the terms API, API implementation, API client, API consumer, and API invocation
Topic 5	Identify which types of APIs and other remote interfaces are or are not amenable to management by API Manager Explain MuleSoft’s proposal for closing the IT delivery gap
Topic 6	Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency Define and describe the benefits of API-led connectivity and application networks
Topic 7	Select Anypoint Platform identity management vs client management for the correct purpose Select appropriate API policies to enforce non-functional constraints on API invocations

NO.21 What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?

Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs

Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes

By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications

API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions

NO.22 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?

Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes

Redeploy the API implementations to the same servers running the Mule runtimes

Add an additional endpoint to each API for partner-enablement consumption

Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes

NO.23 An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?

Each modern API has its own software development lifecycle, which reduces the need for documentation and automation

Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)

Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D

Each modern API must be REST and HTTP based

NO.24 Select the correct Owner-Layer combinations from below options

1. App Developers owns and focuses on Experience Layer APIs
2. Central IT owns and focuses on Process Layer APIs
3. LOB IT owns and focuses on System Layer APIs

1. Central IT owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. App Developers owns and focuses on System Layer APIs

1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs

NO.25 When using CloudHub with the Shared Load Balancer, what is managed EXCLUSIVELY by the API implementation (the Mule application) and NOT by Anypoint Platform?

The assignment of each HTTP request to a particular CloudHub worker

The logging configuration that enables log entries to be visible in Runtime Manager

The SSL certificates used by the API implementation to expose HTTPS endpoints

The number of DNS entries allocated to the API implementation

NO.26 When could the API data model of a System API reasonably mimic the data model exposed by the corresponding backend system, with minimal improvements over the backend system’s data model?

When there is an existing Enterprise Data Model widely used across the organization

When the System API can be assigned to a bounded context with a corresponding data model

When a pragmatic approach with only limited isolation from the backend system is deemed appropriate

When the corresponding backend system is expected to be replaced in the near future

NO.27 Which of the following sequence is correct?

API Client implementes logic to call an API >> API Consumer requests access to API >> API Implementation routes the request to >> API

API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation

API Consumer implementes logic to call an API >> API Client requests access to API >> API Implementation routes the request to >> API

API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to >> API Implementation

NO.28 What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?

A Mule application that accepts requests over HTTP/1x.

A Mule application that accepts JSON requests over TCP but is NOT required to provide a response.

A Mule application that accepts JSON requests over WebSocket.

A Mule application that accepts gRPC requests over HTTP/2

NO.29 The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?

Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition.

Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version.

Implement required changes to the Process API implementation so that, whenever possible, the Process API’s RAML definition remains unchanged.

Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 – Moved Permanentlyto inform API clients they should be calling the new API implementation.

NO.30 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?

443

8081

8091

8092

NO.31 What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?

A decrease in the number of connections within the application network supporting the business process

A higher number of discoverable API-related assets in the application network

A better response time for the end user as a result of the APIs being smaller in scope and complexity

An overall tower usage of resources because each fine-grained API consumes less resources

NO.32 A company wants to move its Mule API implementations into production as quickly as possible. To protect access to all Mule application data and metadata, the company requires that all Mule applications be deployed to the company’s customer-hosted infrastructure within the corporate firewall. What combination of runtime plane and control plane options meets these project lifecycle goals?

Manually provisioned customer-hosted runtime plane and customer-hosted control plane

MuleSoft-hosted runtime plane and customer-hosted control plane

Manually provisioned customer-hosted runtime plane and MuleSoft-hosted control plane

iPaaS provisioned customer-hosted runtime plane and MuleSoft-hosted control plane

NO.33 Refer to the exhibit.

An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization’s Mule applications are deployed to CloudHub in that region?

Workers belonging to a given environment are assigned to the same AZ within that region

AZs are selected as part of the Mule application’s deployment configuration

Workers are randomly distributed across available AZs within that region

An AZ is randomly selected for a Mule application, and all the Mule application’s CloudHub workers are assigned to that one AZ

NO.34 When could the API data model of a System API reasonably mimic the data model exposed by the corresponding backend system, with minimal improvements over the backend system’s data model?

When there is an existing Enterprise Data Model widely used across the organization

When the System API can be assigned to a bounded context with a corresponding data model

When a pragmatic approach with only limited isolation from the backend system is deemed appropriate

When the corresponding backend system is expected to be replaced in the near future

Correct answer: When a pragmatic approach with only limited isolation from the backend system is deemed appropriate.
*****************************************
General guidance w.r.t choosing Data Models:
>> If an Enterprise Data Model is in use then the API data model of System APIs should make use of data types from that Enterprise Data Model and the corresponding API implementation should translate between these data types from the Enterprise Data Model and the native data model of the backend system.
>> If no Enterprise Data Model is in use then each System API should be assigned to a Bounded Context, the API data model of System APIs should make use of data types from the corresponding Bounded Context Data Model and the corresponding API implementation should translate between these data types from the Bounded Context Data Model and the native data model of the backend system. In this scenario, the data types in the Bounded Context Data Model are defined purely in terms of their business characteristics and are typically not related to the native data model of the backend system. In other words, the translation effort may be significant.
>> If no Enterprise Data Model is in use, and the definition of a clean Bounded Context Data Model is considered too much effort, then the API data model of System APIs should make use of data types that approximately mirror those from the backend system, same semantics and naming as backend system, lightly sanitized, expose all fields needed for the given System API’s functionality, but not significantly more and making good use of REST conventions.
The latter approach, i.e., exposing in System APIs an API data model that basically mirrors that of the backend system, does not provide satisfactory isolation from backend systems through the System API tier on its own. In particular, it will typically not be possible to “swap out” a backend system without significantly changing all System APIs in front of that backend system and therefore the API implementations of all Process APIs that depend on those System APIs! This is so because it is not desirable to prolong the life of a previous backend system’s data model in the form of the API data model of System APIs that now front a new backend system. The API data models of System APIs following this approach must therefore change when the backend system is replaced.
On the other hand:
>> It is a very pragmatic approach that adds comparatively little overhead over accessing the backend system directly
>> Isolates API clients from intricacies of the backend system outside the data model (protocol, authentication, connection pooling, network address, …)
>> Allows the usual API policies to be applied to System APIs
>> Makes the API data model for interacting with the backend system explicit and visible, by exposing it in the RAML definitions of the System APIs
>> Further isolation from the backend system data model does occur in the API implementations of the Process API tier

NO.35 What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
A) A Mule application that accepts requests over HTTP/1.x

B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response

C) A Mute application that accepts JSON requests over WebSocket

D) A Mule application that accepts gRPC requests over HTTP/2

Option A

Option B

Option C

Option D

NO.36 An API implementation is being designed that must invoke an Order API, which is known to repeatedly experience downtime.
For this reason, a fallback API is to be called when the Order API is unavailable.
What approach to designing the invocation of the fallback API provides the best resilience?

Search Anypoint Exchange for a suitable existing fallback API, and then implement invocations to this fallback API in addition to the Order API

Create a separate entry for the Order API in API Manager, and then invoke this API as a fallback API if the primary Order API is unavailable

Redirect client requests through an HTTP 307 Temporary Redirect status code to the fallback API whenever the Order API is unavailable

Set an option in the HTTP Requester component that invokes the Order API to instead invoke a fallback API whenever an HTTP 4xx or 5xx response status code is returned from the Order API

NO.37 What correctly characterizes unit tests of Mule applications?

They test the validity of input and output of source and target systems

They must be run in a unit testing environment with dedicated Mule runtimes for the environment

They must be triggered by an external client tool or event source

They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity

NO.38 A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?

Bundle properties files for each environment into the Mule API implementation’s deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.

Modify the Mule API implementation’s properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager

Modify the Mule API implementation’s properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager

Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment

NO.39 Refer to the exhibit.

What is a valid API in the sense of API-led connectivity and application networks?
A) Java RMI over TCP

B) Java RMI over TCP

C) CORBA over HOP

D) XML over UDP

Option A

Option B

Option C

Option D

Becoming a MuleSoft architect can either be achieved through the platform or the integration architect path. In the first case, candidates are tested for their ability to create company-level decisions by looking at the big picture in building an effective application network. This path is designed for higher-level solutions or enterprise architects.

MCPA-Level-1 PDF Dumps Are Helpful To produce Your Dreams Correct QA’s: https://www.premiumvcedump.com/MuleSoft/valid-MCPA-Level-1-premium-vce-exam-dumps.html