Get 100% Authentic MuleSoft MCPA-Level-1-Maintenance Dumps with Correct Answers [Q34-Q52]

QUESTION 34
The responses to some HTTP requests can be cached depending on the HTTP verb used in the request.
According to the HTTP specification, for what HTTP verbs is this safe to do?

PUT, POST, DELETE

GET, HEAD, POST

GET, PUT, OPTIONS

GET, OPTIONS, HEAD

QUESTION 35
An organization wants to make sure only known partners can invoke the organization’s APIs. To achieve this security goal, the organization wants to enforce a Client ID Enforcement policy in API Manager so that only registered partner applications can invoke the organization’s APIs. In what type of API implementation does MuleSoft recommend adding an API proxy to enforce the Client ID Enforcement policy, rather than embedding the policy directly in the application’s JVM?

A Mule 3 application using APIkit

A Mule 3 or Mule 4 application modified with custom Java code

A Mule 4 application with an API specification

A Non-Mule application

QUESTION 36
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?

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 model

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 API

Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order API

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

QUESTION 37
What API policy would be LEAST LIKELY used when designing an Experience API that is intended to work with a consumer mobile phone or tablet application?

OAuth 2.0 access token enforcement

Client ID enforcement

JSON threat protection

IPwhitellst

QUESTION 38
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

QUESTION 39
Refer to the exhibit.

what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?

Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications

The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes

API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane

Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure

QUESTION 40
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

QUESTION 41
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API’s desired SLA?

Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete

No timeout is possible to meet the upstream API’s desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API

Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

QUESTION 42
Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?

Experience Layer

Process Layer

System Layer

QUESTION 43
Refer to the exhibit.

Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities

B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices

C) Build all API data models using XML schema to drive consistency and reuse across the organization

D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant

Option A

Option B

Option C

Option D

QUESTION 44
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

QUESTION 45
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?

Rate limiting

HTTP caching

Rate limiting – SLA based

Spike control

QUESTION 46
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

QUESTION 47
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

When it Is required to make ALL applications highly available across multiple data centers

When it is required that ALL APIs are private and NOT exposed to the public cloud

When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data

When ALL backend systems in the application network are deployed in the organization’s intranet

QUESTION 48
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

QUESTION 49
How are an API implementation, API client, and API consumer combined to invoke and process an API?

The API consumer creates an API implementation, which receives API invocations from an API such that they are processed for an API client

The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation

The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation

The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation

QUESTION 50
An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?

Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type

Use a spike control policy that limits the number of requests for each client application type

Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type

Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

QUESTION 51
A system API has a guaranteed SLA of 100 ms per request. The system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. An upstream process API invokes the system API and the main goal of this process API is to respond to client requests in the least possible time. In what order should the system APIs be invoked, and what changes should be made in order to speed up the response time for requests from the process API?

In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment, and ONLY use the first response

In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment using a scatter-gather configured with a timeout, and then merge the responses

Invoke the system API deployed to the primary environment, and if it fails, invoke the system API deployed to the DR environment

Invoke ONLY the system API deployed to the primary environment, and add timeout and retry logic to avoid intermittent failures

QUESTION 52
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?

Integration tests

Performance tests

Functional tests (Blackbox)

Unit tests (Whitebox)

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