EXAM DUMPS MCPA-LEVEL-1 COLLECTION, MCPA-LEVEL-1 LATEST EXAM FEE

Exam Dumps MCPA-Level-1 Collection, MCPA-Level-1 Latest Exam Fee

Exam Dumps MCPA-Level-1 Collection, MCPA-Level-1 Latest Exam Fee

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Tags: Exam Dumps MCPA-Level-1 Collection, MCPA-Level-1 Latest Exam Fee, Practice MCPA-Level-1 Test Online, Test MCPA-Level-1 Simulator Online, MCPA-Level-1 Dump File

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MuleSoft MCPA-Level-1 exam is a certification test designed for individuals who want to become proficient in MuleSoft's Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification is intended for architects who specialize in designing, developing, and managing the integration of applications and services. MCPA-Level-1 exam measures the knowledge and skills required to implement and manage MuleSoft solutions effectively. Candidates for the MCPA-Level-1 Exam must have a comprehensive understanding of the Anypoint Platform, including its architecture, components, and usage.

The MuleSoft MCPA-Level-1 exam consists of multiple-choice questions and is administered online. Candidates have two hours to complete the exam, and a passing score of 70% is required to earn the certification. MCPA-Level-1 exam fee is $375, and candidates must have a MuleSoft account to register for the exam.

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q32-Q37):

NEW QUESTION # 32
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. Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable
  • B. Configure a "worker not responding" alert in Anypoint Runtime Manager
  • C. Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond
  • D. Create an alert for when the API receives no requests within a specified time period

Answer: B

Explanation:
Configure a "Worker not responding" alert in Anypoint Runtime Manager.
*****************************************
>> All the options eventually helps to generate the alert required when the application stops responding.
>> However, handling exceptions within calling API and then raising alert from API client is inappropriate and silly. There could be many API clients invoking the API implementation and it is not ideal to have this setup consistently in all of them. Not a realistic way to do.
>> Implementing a health check/ heartbeat with in the API and calling from outside to detmine the health sounds OK but needs extra setup for it and same time there are very good chances of generating false alarms when there are any intermittent network issues between external tool calling the health check API on API implementation. The API implementation itself may not have any issues but due to some other factors some false alarms may go out.
>> Creating an alert in API Manager when the API receives no requests within a specified time period would actually generate realistic alerts but even here some false alarms may go out when there are genuinely no requests from API clients.
The best and right way to achieve this requirement is to setup an alert on Runtime Manager with a condition
"Worker not responding". This would generate an alert AS SOON AS the workers become unresponsive.

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NEW QUESTION # 33
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?

  • A. Spike control
  • B. Rate limiting - SLA based
  • C. Rate limiting
  • D. HTTP caching

Answer: A

Explanation:
Spike control
*****************************************
>> First things first, HTTP Caching policy is for purposes different than avoiding the backend system from overloading. So this is OUT.
>> Rate Limiting and Throttling/ Spike Control policies are designed to limit API access, but have different intentions.
>> Rate limiting protects an API by applying a hard limit on its access.
>> Throttling/ Spike Control shapes API access by smoothing spikes in traffic.
That is why, Spike Control is the right option.


NEW QUESTION # 34
An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?

  • A. Anypoint Platform for Pivotal Cloud Foundry
  • B. CloudHub
  • C. Anypoint Runtime Fabric
  • D. A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes

Answer: C

Explanation:
Correct answer: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal approach to go with hybrid model having some Mule Runtimes hosted on Azure and some on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.


NEW QUESTION # 35
Refer to the exhibit.

A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.
The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.
What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?
A) Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console

B) Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it D) Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass

  • A. Option B
  • B. Option C
  • C. Option D
  • D. Option A

Answer: D

Explanation:
Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
*****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.


NEW QUESTION # 36
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.

  • A. From the Mule runtime or the API Manager, depending on the type of data
  • B. From the Mule runtime irrespective of the deployment model
  • C. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes
  • D. From the Mule runtime or the API implementation, depending on the deployment model
  • E. From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

Answer: D


NEW QUESTION # 37
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