BEST PREPARATIONS OF MCPA-LEVEL-1 EXAM MULESOFT UNLIMITED

Best Preparations of MCPA-Level-1 Exam MuleSoft Unlimited

Best Preparations of MCPA-Level-1 Exam MuleSoft Unlimited

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Tags: MCPA-Level-1 Trustworthy Pdf, MCPA-Level-1 Clearer Explanation, MCPA-Level-1 Reliable Torrent, Sure MCPA-Level-1 Pass, MCPA-Level-1 Materials

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MuleSoft MCPA-Level-1 certification exam is a comprehensive exam that covers a range of topics related to MuleSoft. MCPA-Level-1 exam consists of multiple-choice questions that test the candidate's understanding of MuleSoft's architecture, design patterns, and best practices. Additionally, the exam includes hands-on tasks that require the candidate to apply their knowledge of MuleSoft in a real-world scenario. The MCPA-Level-1 Certification is an industry-recognized certification that demonstrates the candidate's proficiency in MuleSoft's Anypoint Platform and validates their ability to design, build, and deploy integration solutions using MuleSoft.

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q89-Q94):

NEW QUESTION # 89
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?

  • A. At the process and system tiers
  • B. At the experience, process, and system tiers
  • C. At the experience and process tiers
  • D. At the experience and system tiers

Answer: A

Explanation:
Correct answer: At the process and system tiers
*****************************************
>> Experience Layer APIs are modeled and designed exclusively for the end user's experience. So, the data models of experience layer vary based on the nature and type of such API consumer. For example, Mobile consumers will need light-weight data models to transfer with ease on the wire, where as web-based consumers will need detailed data models to render most of the info on web pages, so on. So, enterprise data models fit for the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in experience tier.


NEW QUESTION # 90
An API with multiple API implementations (Mule applications) is deployed to both CloudHub and customer- hosted Mule runtimes. All the deployments are managed by the MuleSoft-hosted control plane. An alert needs to be triggered whenever an API implementation stops responding to API requests, even if no API clients have called the API implementation for some time.
What is the most effective out-of-the-box solution to create these alerts to monitor the API implementations?

  • A. Configure one Worker Not Responding alert.in Anypoint Runtime Manager for all API implementations that will then monitor every API implementation
  • B. Create monitors in Anypoint Functional Monitoring for the API implementations, where each monitor repeatedly invokes an API implementation endpoint
  • C. Handle API invocation exceptions within the calling API client and raise an alert from that API client when such an exception is thrown
  • D. Add code to each API client to send an Anypoint Platform REST API request to generate a custom alert in Anypoint Platform when an API invocation times out

Answer: B

Explanation:
In scenarios where multiple API implementations are deployed across different environments (CloudHub and customer-hosted runtimes), Anypoint Functional Monitoring is the most effective tool to monitor API availability and trigger alerts when an API implementation becomes unresponsive. Here's how it works:
* Using Anypoint Functional Monitoring:
* Functional Monitoring allows you to create monitors that periodically invoke specific endpoints on the API implementations, simulating a client request. This helps ensure that the API is responsive, even if no actual client requests are being made.
* If an API implementation does not respond as expected, Functional Monitoring can generate alerts, notifying administrators of potential issues.
* Why Option A is Correct:
* By setting up Functional Monitoring to automatically invoke the API endpoints at regular intervals, you ensure continuous monitoring and alerting capabilities, which are especially useful for APIs that may experience periods of low or no traffic. This approach provides a proactive solution, allowing you to identify and address issues before actual users are impacted.
* Explanation of Incorrect Options:
* Option B suggests modifying client applications to trigger alerts, which is not a best practice as it shifts monitoring responsibility to clients, reducing control and consistency.
* Option C involves handling exceptions within client applications, which does not address situations where no clients are making requests.
* Option D proposes a Worker Not Responding alert in Runtime Manager, which is limited to worker-specific alerts and may not reliably monitor the API's actual responsiveness to requests.
ReferencesFor further information, refer to MuleSoft documentation on Anypoint Functional Monitoring setup and usage for API availability monitoring.


NEW QUESTION # 91
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

  • A. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
  • B. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • C. Make relevant APIs discoverable via an Anypoint Exchange entry
  • D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Answer: B

Explanation:
Correct answer: Create API Notebooks and Include them in the relevant Anypoint exchange entries
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>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation Reference:


NEW QUESTION # 92
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?

  • A. Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
  • B. Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type
  • C. Use a spike control policy that limits the number of requests for each client application type
  • D. Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type

Answer: D

Explanation:
Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type.
*****************************************
>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client type


NEW QUESTION # 93
What Anypoint Connectors support transactions?

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

Answer: D


NEW QUESTION # 94
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