PASS THE EXAM WITH REAL MULESOFT MCPA-LEVEL-1 QUESTIONS

Pass The Exam With Real MuleSoft MCPA-Level-1 Questions

Pass The Exam With Real MuleSoft MCPA-Level-1 Questions

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The Certified Production and MCPA-Level-1 certification is a valuable credential earned by individuals to validate their skills and competence to perform certain job tasks. Your MuleSoft Certified Platform Architect - Level 1 MCPA-Level-1 Certification is usually displayed as proof that you’ve been trained, educated, and prepared to meet the specific requirement for your professional role.

MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Certification Exam is a globally recognized certification that validates the knowledge and skills of an individual in designing and building integration solutions using the MuleSoft Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification is designed for architects who have experience in developing integration solutions using MuleSoft and want to demonstrate their expertise in the field. MuleSoft Certified Platform Architect - Level 1 certification exam tests the skills of the candidate in various areas such as API design, data transformation, and system integration.

The MCPA-Level-1 Certification is an excellent way for professionals to demonstrate their expertise in MuleSoft Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification not only validates the individual's skills and knowledge but also helps them stand out in the job market. MuleSoft Certified Platform Architect - Level 1 certification also provides access to MuleSoft's community and resources, including training, events, and webinars.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q60-Q65):

NEW QUESTION # 60
Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.

What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?

  • A. Apply an OAuth 2.0 access token enforcement policy; the internal Active Directory will be configured as the OAuth server
  • B. Apply a client ID enforcement policy; the specific group of users will configure their client applications to use their specific client credentials
  • C. Apply an IP whitelist policy; only the specific users' workstations will be in the whitelist
  • D. Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users

Answer: D


NEW QUESTION # 61
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 D
  • C. Option C
  • D. Option A

Answer: B


NEW QUESTION # 62
What CANNOT be effectively enforced using an API policy in Anypoint Platform?

  • A. Logging HTTP requests and responses
  • B. Maintaining tamper-proof credentials between APIs
  • C. Backend system overloading
  • D. Guarding against Denial of Service attacks

Answer: D

Explanation:
Correct answer: Guarding against Denial of Service attacks
*****************************************
>> Backend system overloading can be handled by enforcing "Spike Control Policy"
>> Logging HTTP requests and responses can be done by enforcing "Message Logging Policy"
>> Credentials can be tamper-proofed using "Security" and "Compliance" Policies However, unfortunately, there is no proper way currently on Anypoint Platform to guard against DOS attacks.


NEW QUESTION # 63
An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second.
What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?

  • A. The application scalability threshold is five requests per second regardless of the horizontal scaling
  • B. The application scalability threshold is now 10 requests per second
  • C. The total process execution time is now 100 milliseconds (.1 seconds)
  • D. Horizontal scaling cannot be applied to an already-running application

Answer: A

Explanation:
Given that the application is designed to handle only one process at a time to maintain data consistency, here' s why horizontal scaling won't increase the processing limit:
* Single-Process Constraint:
* The application limits to processing one transaction at a time due to its design for consistency, meaning horizontal scaling (adding more workers) does not increase processing speed beyond this limit.
* Execution Time:
* Since each request takes 200 ms, five requests per second is the maximum processing threshold.
Increasing the number of workers does not bypass this single-process limitation.
* Explanation of Correct Answer (A):
* The scalability remains at five requests per second, as this constraint is intrinsic to the application' s design.
* Explanation of Incorrect Options:
* Option B suggests a change in execution time, which horizontal scaling does not affect.
* Option C assumes doubling the throughput, which isn't possible due to the single-threaded nature of the application.
* Option D suggests horizontal scaling cannot apply, which is incorrect; however, scaling does not increase throughput in this context.
ReferencesFor more on understanding scaling and concurrency in Mule applications, see MuleSoft's documentation on application performance and scaling limitations.


NEW QUESTION # 64
An operations team is analyzing the effort needed to set up monitoring of their application network. They are looking at which API invocation metrics can be used to identify and predict trouble without having to write custom scripts or install additional analytics software or tools.
Which type of metrics can satisfy this goal of directly identifying and predicting failures?

  • A. The effectiveness of the application network based on the level of reuse
  • B. The number and types of API policy violations per day
  • C. The number and types of past API invocations across the application network
  • D. The ROI from each APT invocation

Answer: B

Explanation:
To monitor an application network and predict issues without custom scripts, policy violation metrics are critical. They provide insights into potential problems by tracking instances where API usage does not conform to defined policies. Here's why this approach is suitable:
* Predictive Monitoring:
* Tracking API policy violations (such as rate limits or spike controls being hit) can indicate surges in traffic or misuse, which may lead to throttling or service degradation if not addressed.
* By monitoring these violations, teams can proactively adjust limits or optimize API handling to prevent actual failures.
* No Custom Scripting Needed:
* Policy violation metrics are available within MuleSoft's Anypoint Monitoring, meaning there's no need to implement custom solutions or external tools to gather and interpret this data.
* Explanation of Incorrect Options:
* Option B (effectiveness based on reuse) does not directly predict failures.
* Option C (past invocation counts) offers historical usage data but does not inherently identify issues.
* Option D (ROI from API invocation) is a business metric and does not provide technical insights for failure prediction.
ReferencesFor more details on leveraging policy violation metrics for proactive monitoring, refer to MuleSoft documentation on Anypoint Monitoring.


NEW QUESTION # 65
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