EXCELLENT MCPA-LEVEL-1 EXAM TORRENT & LEADING OFFER IN QUALIFICATION EXAMS & FAST DOWNLOAD MCPA-LEVEL-1: MULESOFT CERTIFIED PLATFORM ARCHITECT - LEVEL 1

Excellent MCPA-Level-1 Exam Torrent & Leading Offer in Qualification Exams & Fast Download MCPA-Level-1: MuleSoft Certified Platform Architect - Level 1

Excellent MCPA-Level-1 Exam Torrent & Leading Offer in Qualification Exams & Fast Download MCPA-Level-1: MuleSoft Certified Platform Architect - Level 1

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The MCPA-Level-1 Certification Exam covers a wide range of topics related to MuleSoft's platform architecture, including API-led connectivity, message routing, data mapping, and security. MCPA-Level-1 exam consists of 65 multiple-choice questions that must be answered within 120 minutes. The passing score for the exam is 70%, and candidates who pass the exam will receive a certificate of completion.

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The MCPA-Level-1 exam is intended for experienced MuleSoft developers, architects, and technical leads who are responsible for designing and implementing MuleSoft-based integration solutions. MCPA-Level-1 exam consists of multiple-choice questions that test the candidate's knowledge of MuleSoft's Anypoint Platform, including its architecture, components, and capabilities. MCPA-Level-1 exam also evaluates the candidate's ability to design and implement integration solutions using MuleSoft best practices, design patterns, and tooling.

The MCPA-Level-1 Certification Exam is designed to test the skills and knowledge required to design, build, and deploy integration solutions using the MuleSoft Anypoint Platform. MCPA-Level-1 exam consists of scenario-based questions that assess the candidate's ability to use Anypoint Platform components such as connectors, transformers, routers, and more, to solve complex integration problems. MCPA-Level-1 exam also tests the candidate's knowledge of API design, security, and governance best practices.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q110-Q115):

NEW QUESTION # 110
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?

  • A. Increase the number of CloudHub workers
  • B. se a CloudHub autoscaling policy to add CloudHub workers
  • C. Increase the size of the CloudHub worker(s)
  • D. Use a CloudHub autoscaling policy to increase the size of the CloudHub worker

Answer: A

Explanation:
Increase the size of the CloudHub worker(s)
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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.


NEW QUESTION # 111
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?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

Explanation:
Correct answer: 8082
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>> 8091 and 8092 ports are to be used when keeping your HTTP and HTTPS app private to the LOCAL VPC respectively.
>> Above TWO ports are not for Shared AWS VPC/ Shared Worker Cloud.
>> 8081 is to be used when exposing your HTTP endpoint app to the internet through Shared LB
>> 8082 is to be used when exposing your HTTPS endpoint app to the internet through Shared LB So, API invocations should be sent to port 8082 when calling this HTTPS based app.
References:
https://docs.mulesoft.com/runtime-manager/cloudhub-networking-guide
https://help.mulesoft.com/s/article/Configure-Cloudhub-Application-to-Send-a-HTTPS-Request-Directly-to-Another-Cloudhub-Application
https://help.mulesoft.com/s/question/0D52T00004mXXULSA4/multiple-http-listerners-on-cloudhub-one-with-port-9090


NEW QUESTION # 112
What is typically NOT a function of the APIs created within the framework called API-led connectivity?

  • A. 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.
  • B. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
  • C. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.
  • D. They can compose data from various sources and combine them with orchestration logic to create higher level value.

Answer: B

Explanation:
Explanation
https://dzone.com/articles/api-led-connectivity-with-mule


NEW QUESTION # 113
How are an API implementation, API client, and API consumer combined to invoke and process an API?

  • A. The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation
  • B. The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
  • C. The API consumer creates an API implementation, which receives API invocations from an API such that they are processed for an API client
  • D. The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation

Answer: B

Explanation:
Correct answer: The API consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
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Terminology:
>> API Client - It is a piece of code or program the is written to invoke an API
>> API Consumer - An owner/entity who owns the API Client. API Consumers write API clients.
>> API - The provider of the API functionality. Typically an API Instance on API Manager where they are managed and operated.
>> API Implementation - The actual piece of code written by API provider where the functionality of the API is implemented. Typically, these are Mule Applications running on Runtime Manager.


NEW QUESTION # 114
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?

  • A. Configure a "worker not responding" alert in Anypoint Runtime Manager
  • B. Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable
  • C. Create an alert for when the API receives no requests within a specified time period
  • D. Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond

Answer: B


NEW QUESTION # 115
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