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MuleSoft MCPA-Level-1 Exam Questions

MuleSoft MCPA-Level-1 Exam Questions Answers

MuleSoft Certified Platform Architect - Level 1

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MuleSoft MCPA-Level-1 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

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?

  • A. Integration tests 
  • B. Performance tests 
  • C. Functional tests (Blackbox) 
  • D. Unit tests (Whitebox) 
Answer: D
Explanation: Explanation  Correct Answer: Unit tests (Whitebox)  *****************************************  Reference: https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies As per general IT testing practice and MuleSoft recommended practice, Integration and Performance tests should be done on full end to end setup for right evaluation. Which means all end systems should be connected while doing the tests. So, these options are OUT and we are left with Unit Tests and Functional Tests. As per attached reference documentation from MuleSoft: Unit Tests - are limited to the code that can be realistically exercised without the need to run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows, Custom transformers, Custom components, Custom expression evaluators etc. Functional Tests - are those that most extensively exercise your application configuration. In these tests, you have the freedom and tools for simulating happy and unhappy paths. You also have the possibility to create stubs for target services and make them success or fail to easily simulate happy and unhappy paths respectively. As the scenario in the question demands for API implementation to be tested before deployment to Staging and also clearly indicates that there is enough/ sufficient amount of mock data to test the various components of API implementations with no active connections to the backend systems, Unit Tests are the one to be used to incorporate this 
mocked data.
Question #2

In an organization, the InfoSec team is investigating Anypoint Platform related data traffic. From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

  • A. From the Mule runtime or the API implementation, depending on the deployment model 
  • B. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes 
  • C. From the Mule runtime or the API Manager, depending on the type of data 
  • D. From the Mule runtime irrespective of the deployment model 
Answer: D
Explanation: Explanation  Correct Answer: From the Mule runtime irrespective of the deployment model  *****************************************  >> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.  >> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).  >> Similarly all API Implementations also run on Mule Runtimes.  So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid. 

Question #3

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 olution 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?

  • A. se a CloudHub autoscaling policy to add CloudHub workers 
  • B. Use a CloudHub autoscaling policy to increase the size of the CloudHub worker 
  • C. Increase the size of the CloudHub worker(s) 
  • D. Increase the number of CloudHub workers 
Answer: D
Explanation: Explanation Correct Answer: Increase the size of the CloudHub worker(s)  *****************************************  The key details that we can take out from the given scenario are:  >> API implementation uses a database bulk insert command to submit all the purchase data to a database  >> JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker  >> Sometimes a request fails and the logs show a message indicating an out-of-file-space message  Based on above details:  >> Both auto-scaling options does NOT help because we cannot set auto-scaling rules based on error messages. Auto-scaling rules are kicked-off based on CPU/Memory usages and not due to some given error or disk space issues.  >> Increasing the number of CloudHub workers also does NOT help here because the reason for the failure is not due to performance aspects w.r.t CPU or Memory. It is due to disk-space.  >> Moreover, the API is doing bulk insert to submit the received batch data. Which means, all data is handled by ONE worker only at a time. So, the disk space issue should be tackled on "per worker" basis. Having multiple workers does not help as the batch may still fail on any worker when disk is out of space on that particular worker.  Therefore, the right way to deal this issue and resolve this is to increase the vCore size of the worker so that a new worker with more disk space will be provisioned. 

Question #4

The application network is recomposable: it is built for change because it "bends but does not break"

  • A. TRUE 
  • B. FALSE 
Answer: A
Explanation: ***************************************** >> Application Network is a disposable architecture. >> Which means, it can be altered without disturbing entire architecture and its components. >> It bends as per requirements or design changes but does not break Reference: https://www.mulesoft.com/resources/api/what-is-an-application-network

Question #5

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

  • A. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization 
  • B. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects 
  • C. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making 
  • D. 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 
Answer: A
Explanation: Explanation Correct Answer: Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages
standardization  ***************************************** >> The main motto of the new IT Operating Model that MuleSoft recommends and made popular is to change the way that they are delivered from a production model to a production + consumption model, which is done through an API strategy called API-led connectivity. >> The assets built should also be discoverable and self-serveable for reusablity across LOBs and organization. >> MuleSoft's IT operating model does not talk about SDLC model (Agile/ Lean etc) or MDM at all. So, options suggesting these are not valid. References: 
https://blogs.mulesoft.com/biz/connectivity/what-is-a-center-for-enablement-c4e/ https://www.mulesoft.com/resources/api/secret-to-managing-it-projects 

Question #6

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?

  • A. None 
  • B. Both 
  • C. API Client 
  • D. API Consumer 
Answer: D
Explanation: Explanation Correct Answer: API Consumer ***************************************** >> API clients are piece of code or programs that use the client credentials of API
consumer but does not directly interact with Anypoint Exchange to get the access >> API consumer is the one who should get registered and request access to API and then
API client needs to use those client credentials to hit the APIs So, API consumer is the one who needs to request access on the API from Anypoint Exchange

Question #7

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

  • A. System Layer
  • B. Experience Layer 
  • C. Process Layer 
Answer: C
Explanation: Explanation Correct Answer: Process Layer ***************************************** >> Experience layer is dedicated for enrichment of end user experience. This layer is to meet the needs of different API clients/ consumers. >> System layer is dedicated to APIs which are modular in nature and implement/ expose various individual functionalities of backend systems >> Process layer is the place where simple or complex business orchestration logic is written by invoking one or many System layer modular APIs So, Process Layer is the right answer
Question #8

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 usingRuntime 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?

  • A. At the API proxy 
  • B. At the API implementation 
  • C. At both the API proxy and the API implementation 
  • D. At a MuleSoft-hosted load balancer 
Answer: A
Explanation: Explanation Correct Answer: At the API proxy ***************************************** >> API Policies can be enforced at two places in Mule platform. 
>> One - As an Embedded Policy enforcement in the same Mule Runtime where API implementation is running. >> Two - On an API Proxy sitting in front of the Mule Runtime where API implementation is running. >> As the deployment scenario in the question has API Proxy involved, the policies will be enforced at the API Proxy. 

Question #9

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? 

  • A. When the data type of the response is changed for the method called by the API client 
  • B. When a new method is added to the resource used by the API client 
  • C. When a new required field is added to the method called by the API client 
  • D. When a child method is added to the method called by the API client 
Answer: C
Explanation: Explanation Correct Answer: When a new required field is added to the method called by the API client ***************************************** >> Generally, the logic on API clients need to be updated when the API contract breaks. >> When a new method or a child method is added to an API , the API client does not break as it can still continue to use its existing method. So these two options are out. >> We are left for two more where "datatype of the response if changed" and "a new required field is added". >> Changing the datatype of the response does break the API contract. However, the question is insisting on the "invocation" logic and not about the response handling logic. The API client can still invoke the API successfully and receive the response but the response will have a different datatype for some field. >> Adding a new required field will break the API's invocation contract. When adding a new
required field, the API contract breaks the RAML or API spec agreement that the API client/API consumer and API provider has between them. So this requires the API client
invocation logic to also be updated. 

Question #10

What Anypoint Connectors support transactions?

  • A. Database, JMS, VM 
  • B. Database, 3MS, HTTP 
  • C. Database, JMS, VM, SFTP 
  • D. Database, VM, File 
Answer: A

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