Free Mulesoft MCPA-Level 1 exam Questions You Need To Try

test2022-02-15T07:43:43+00:00

The MCPA – Level 1 exam validates that an architect has the required knowledge and skills to work with technical and non-technical stakeholders to translate functional and non-functional requirements into integration interfaces and implementations. If you’re looking for help with MCPA-Level 1 exam preparation and a guarantee of passing your exam, you’ve come to the right place. The purpose of this MCPA-Level 1 Sample Question Set is to assist you in studying for the MuleSoft Certified Platform Architect – Level 1 exam. These sample questions will give you an idea of the kind of questions you’ll see on the MCPA-Level 1 certification test.

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1. 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

2. An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number

of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model .

What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers

Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models

3. 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?

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

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

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

The API clients need to update the code on their side and need to do full regression

4. 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

5. What should be ensured before sharing an API through a public Anypoint Exchange portal?

The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility

The users needing access to the API should be added to the appropriate role in Anypoint Platform

The API should be functional with at least an initial implementation deployed and accessible for users to interact with

The API should be secured using one of the supported authentication/authorization mechanisms to ensure that data is not compromised

6. 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

7. An organization is implementing a Quote of the Day API that caches today's quote.

What scenario can use the GoudHub Object Store via the Object Store connector to persist the cache's state?

When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state

When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state

When there is one deployment of the API implementation to CloudHub and anottV deployment to a customer-hosted Mule runtime that must share the cache state

When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state

8. What best explains the use of auto-discovery in API implementations?

It makes API Manager aware of API implementations and hence enables it to enforce policies

It enables Anypoint Studio to discover API definitions configured in Anypoint Platform

It enables Anypoint Exchange to discover assets and makes them available for reuse

It enables Anypoint Analytics to gain insight into the usage of APIs

9. 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 Permanently to inform API clients they should be calling the new API implementation

10. Suspend a customer

Implement a system API named customerManagement which has all the functionalities wrapped in it as various operations/resources

Implement different system APIs named createCustomer, amendCustomer, retrieveCustomer and suspendCustomer as they are modular and has seperation of concerns

Implement different system APIs named createCustomerInCRMZ, amendCustomerInCRMZ, retrieveCustomerFromCRMZ and suspendCustomerInCRMZ as they are modular and has seperation of concerns

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11. 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

12. 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

13. What is typically NOT a function of the APIs created within the framework called API-led connectivity?

They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.

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.

They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.

They can compose data from various sources and combine them with orchestration logic to create higher level value.

14. An API implementation is updated. When must the RAML definition of the API also be updated?

When the API implementation changes the structure of the request or response messages

When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system

When the API implementation is migrated from an older to a newer version of the Mule runtime

When the API implementation is optimized to improve its average response time

15. 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

8082

16. A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API .

What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore

Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers

Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

17. An API implementation is deployed on a single worker on CloudHub and invoked by external API clients (outside of CloudHub) .

How can an alert be set up that is guaranteed to trigger AS SOON AS that API implementation stops responding to API invocations?

Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond

Configure a "worker not responding" alert in Anypoint Runtime Manager

Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable

Create an alert for when the API receives no requests within a specified time period

18. 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

19. 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

20. 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

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21. Once an API Implementation is ready and the API is registered on API Manager, who should request the access to the API on Anypoint Exchange?

None

Both

API Client

API Consumer