[Q11-Q35] Latest MCPA-Level-1-Maintenance Exam with Accurate MuleSoft Certified Platform Architect – Level 1 MAINTENANCE PDF Questions [Nov 22, 2023]

22Nov 2023 by admin No Comments

Rate this post

[Nov 22, 2023] Latest MCPA-Level-1-Maintenance Exam with Accurate MuleSoft Certified Platform Architect – Level 1 MAINTENANCE PDF Questions

Practice To MCPA-Level-1-Maintenance – PracticeMaterial Remarkable Practice On your MuleSoft Certified Platform Architect – Level 1 MAINTENANCE Exam

Q11. 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

Q12. 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

Q13. What Anypoint Connectors support transactions?

Database, JMS, VM

Database, 3MS, HTTP

Database, JMS, VM, SFTP

Database, VM, File

Q14. A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?

A customer-hosted load balancer

The CloudHub shared load balancer

An API proxy

Runtime Manager autoscaling

Q15. 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

Q16. 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 API’s public portal.
The API endpoint does NOT change in the new version.
How should the developer of an API client respond to this change?

The update should be identified as a project risk and full regression testing of the functionality that uses this API should be run

The API producer should be contacted to understand the change to existing functionality

The API producer should be requested to run the old version in parallel with the new one

The API client code ONLY needs to be changed if it needs to take advantage of new features

Q17. 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

Q18. 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

Q19. 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

Q20. 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

Q21. 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

Q22. What Anypoint Platform Capabilities listed below fall under APIs and API Invocations/Consumers category?
Select TWO.

API Operations and Management

API Runtime Execution and Hosting

API Consumer Engagement

API Design and Development

Q23. In which layer of API-led connectivity, does the business logic orchestration reside?

System Layer

Experience Layer

Process Layer

Q24. 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

Q25. What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?

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

The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance

The API policy Is defined in API Manager and then automatically applied to ALL API instances

The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment

Q26. 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

Q27. 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

Q28. What are 4 important Platform Capabilities offered by Anypoint Platform?

API Versioning, API Runtime Execution and Hosting, API Invocation, API Consumer Engagement

API Design and Development, API Runtime Execution and Hosting, API Versioning, API Deprecation

API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement

API Design and Development, API Deprecation, API Versioning, API Consumer Engagement

Q29. 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

Q30. 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

Q31. What is a best practice when building System APIs?

Document the API using an easily consumable asset like a RAML definition

Model all API resources and methods to closely mimic the operations of the backend system

Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs

Expose to API clients all technical details of the API implementation’s interaction wifch the backend system

Q32. Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?

At the API proxy

At the API implementation

At both the API proxy and the API implementation

At a MuleSoft-hosted load balancer

Q33. A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company’s IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?

At the experience and process tiers

At the experience and system tiers

At the process and system tiers

At the experience, process, and system tiers

Q34. 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

Q35. 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 plane

B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane

C) 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

D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane

Option A

Option B

Option C

Option D

In the fast-paced world of technology, it is essential for professionals to have the necessary skills and knowledge to stay ahead of the curve. In the integration space, MuleSoft is a leading provider of integration tools and platforms. As more organizations adopt MuleSoft, the demand for certified professionals who can effectively design, implement, and maintain MuleSoft solutions continues to increase. To meet this demand, MuleSoft has developed the MuleSoft Certified Platform Architect – Level 1 MAINTENANCE (MCPA-Level-1-Maintenance) certification exam.

Exam Questions and Answers for MCPA-Level-1-Maintenance Study Guide Questions and Answers!: https://www.practicematerial.com/MCPA-Level-1-Maintenance-exam-materials.html

Leave a Reply Cancel reply