[Apr-2023] MCPA-Level-1-Maintenance PDF Dumps Are Helpful To produce Your Dreams Correct QA's [Q36-Q58]

[Apr-2023] MCPA-Level-1-Maintenance PDF Dumps Are Helpful To produce Your Dreams Correct QA’s [Q36-Q58]

April 23, 2023 latestexam 0 Comments

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[Apr-2023] MCPA-Level-1-Maintenance PDF Dumps Are Helpful To produce Your Dreams Correct QA’s

New MCPA-Level-1-Maintenance exam Free Sample Questions to Practice

MuleSoft MCPA-Level-1-Maintenance Exam Syllabus Topics:

Topic	Details
Topic 1	Define and describe the benefits of API-led connectivity and application networks Explain MuleSoft’s proposal for closing the IT delivery gap
Topic 2	Select CloudHub worker sizes and configuration as appropriate Specify how and when to promote APIs with API Manager
Topic 3	Identify the factors involved in scaling API performance Select strategies that help API clients guard against failures in API invocations
Topic 4	Identify when redeployment of API implementations is necessary Compare unit and integration tests and specify where MUnit is best employed
Topic 5	Correctly use the terms API, API implementation, API client, API consumer, and API invocation Describe the fundamentals of deployments, networking, and routing on CloudHub
Topic 6	Identify single points of failure in typical CloudHub usage Identify the components of Anypoint Platform that generate data for monitoring and alerting
Topic 7	Governing APIs on Anypoint Platform Select appropriate API policies to enforce non-functional constraints on API invocations
Topic 8	Identify changes to an API that would require or not require a major version increment Explain how to register an API client for access to an API version
Topic 9	Identify KPIs to measure the success of a C4E Select Anypoint Platform identity management vs client management for the correct purpose

NEW QUESTION 36
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?

Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers

Create API Notebooks and include them in the relevant Anypoint Exchange entries

Make relevant APIs discoverable via an Anypoint Exchange entry

NEW QUESTION 37
Version 3.0.1 of a REST API implementation represents time values in PST time using ISO 8601 hh:mm:ss format. The API implementation needs to be changed to instead represent time values in CEST time using ISO
8601 hh:mm:ss format. When following the semver.org semantic versioning specification, what version should be assigned to the updated API implementation?

3.0.2

4.0.0

3.1.0

3.0.1

NEW QUESTION 38
What is a key requirement when using an external Identity Provider for Client Management in Anypoint Platform?

Single sign-on is required to sign in to Anypoint Platform

The application network must include System APIs that interact with the Identity Provider

To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider

APIs managed by Anypoint Platform must be protected by SAML 2.0 policies

NEW QUESTION 39
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

NEW QUESTION 40
What CANNOT be effectively enforced using an API policy in Anypoint Platform?

Guarding against Denial of Service attacks

Maintaining tamper-proof credentials between APIs

Logging HTTP requests and responses

Backend system overloading

NEW QUESTION 41
What is most likely NOT a characteristic of an integration test for a REST API implementation?

The test needs all source and/or target systems configured and accessible

The test runs immediately after the Mule application has been compiled and packaged

The test is triggered by an external HTTP request

The test prepares a known request payload and validates the response payload

NEW QUESTION 42
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API’s DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?

Invoke the system API deployed to the primary environment; add retry logic to the process API to handle intermittent failures by invoking the system API deployed to the DR environment

In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment; add timeout and retry logic to the process API to avoid intermittent failures; add logic to the process API to combine the results

Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke a copy of the process API deployed to the DR environment

Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
*****************************************
There is one important consideration to be noted in the question which is – System API in DR environment provides only 20% of the rate limiting offered by the primary environment. So, comparitively, very less calls will be allowed into the DR environment API opposed to its primary environment. With this in mind, lets analyse what is the right and best fault-tolerant invocation strategy.
1. Invoking both the system APIs in parallel is definitely NOT a feasible approach because of the 20% limitation we have on DR environment. Calling in parallel every time would easily and quickly exhaust the rate limits on DR environment and may not give chance to genuine intermittent error scenarios to let in during the time of need.
2. Another option given is suggesting to add timeout and retry logic to process API while invoking primary environment’s system API. This is good so far. However, when all retries failed, the option is suggesting to invoke the copy of process API on DR environment which is not right or recommended. Only system API is the one to be considered for fallback and not the whole process API. Process APIs usually have lot of heavy orchestration calling many other APIs which we do not want to repeat again by calling DR’s process API. So this option is NOT right.
3. One more option given is suggesting to add the retry (no timeout) logic to process API to directly retry on DR environment’s system API instead of retrying the primary environment system API first. This is not at all a proper fallback. A proper fallback should occur only after all retries are performed and exhausted on Primary environment first. But here, the option is suggesting to directly retry fallback API on first failure itself without trying main API. So, this option is NOT right too.
This leaves us one option which is right and best fit.
– Invoke the system API deployed to the primary environment
– Add Timeout and Retry logic on it in process API
– If it fails even after all retries, then invoke the system API deployed to the DR environment.

NEW QUESTION 43
Refer to the exhibit.

What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level

B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs

C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)

D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

Option A

Option B

Option C

Option D

NEW QUESTION 44
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

NEW QUESTION 45
Question 10: Skipped
An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?

The error codes that result from throttling

A correlation ID that should be sent in the next request

The HTTP response size

The remaining capacity allowed by the API implementation

NEW QUESTION 46
A retail company with thousands of stores has an API to receive data about purchases and insert it into a single database. Each individual store sends a batch of purchase data to the API about every 30 minutes. The API implementation uses a database bulk insert command to submit all the purchase data to a database using a custom JDBC driver provided by a data analytics solution provider. The API implementation is deployed to a single CloudHub worker. The JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker, and then the data is sent to an analytics engine using a proprietary protocol. This process usually takes less than a few minutes. Sometimes a request fails. In this case, the logs show a message from the JDBC driver indicating an out-of-file-space message. When the request is resubmitted, it is successful.
What is the best way to try to resolve this throughput issue?

se a CloudHub autoscaling policy to add CloudHub workers

Use a CloudHub autoscaling policy to increase the size of the CloudHub worker

Increase the size of the CloudHub worker(s)

Increase the number of CloudHub workers

NEW QUESTION 47
An Anypoint Platform organization has been configured with an external identity provider (IdP) for identity management and client management. What credentials or token must be provided to Anypoint CLI to execute commands against the Anypoint Platform APIs?

The credentials provided by the IdP for identity management

The credentials provided by the IdP for client management

An OAuth 2.0 token generated using the credentials provided by the IdP for client management

An OAuth 2.0 token generated using the credentials provided by the IdP for identity management

NEW QUESTION 48
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

NEW QUESTION 49
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

NEW QUESTION 50
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

NEW 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

NEW QUESTION 52
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

NEW QUESTION 53
What are the major benefits of MuleSoft proposed IT Operating Model?

1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Focus on creation of reusable assets first. Upon finishing creation of all the possible assets then inform the LOBs in the organization to start using them

1. Decrease the IT delivery gap
2. Meet various business demands by increasing the IT capacity and forming various IT departments
3. Make consumption of assets at the rate of production

1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Make consumption of assets at the rate of production

NEW QUESTION 54
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

NEW QUESTION 55
An API client calls one method from an existing API implementation. The API implementation is later updated. What change to the API implementation would require the API client’s invocation logic to also be updated?

When the data type of the response is changed for the method called by the API client

When a new method is added to the resource used by the API client

When a new required field is added to the method called by the API client

When a child method is added to the method called by the API client

NEW QUESTION 56
A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?

Web Service Definition Language(WSDL)

OpenAPI Specification (OAS)

YAML

AsyncAPI Specification

NEW QUESTION 57
A company requires Mule applications deployed to CloudHub to be isolated between non-production and production environments. This is so Mule applications deployed to non-production environments can only access backend systems running in their customer-hosted non-production environment, and so Mule applications deployed to production environments can only access backend systems running in their customer-hosted production environment. How does MuleSoft recommend modifying Mule applications, configuring environments, or changing infrastructure to support this type of per-environment isolation between Mule applications and backend systems?

Modify properties of Mule applications deployed to the production Anypoint Platform environments to prevent access from non-production Mule applications

Configure firewall rules in the infrastructure inside each customer-hosted environment so that only IP addresses from the corresponding Anypoint Platform environments are allowed to communicate with corresponding backend systems

Create non-production and production environments in different Anypoint Platform business groups

Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments

NEW QUESTION 58
What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?

Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization

Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects

Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making

Create a lean and agile organization that makes many small decisions everyday; this speeds up decision making and enables each line of business to take ownership of its projects

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[Apr-2023] MCPA-Level-1-Maintenance PDF Dumps Are Helpful To produce Your Dreams Correct QA’s [Q36-Q58]

MuleSoft MCPA-Level-1-Maintenance Exam Syllabus Topics:

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