TOP LATEST MCPA-LEVEL-1 EXAM PRACTICE: MULESOFT CERTIFIED PLATFORM ARCHITECT - LEVEL 1 - HIGH-QUALITY MULESOFT FREE MCPA-LEVEL-1 UPDATES

TOP Latest MCPA-Level-1 Exam Practice: MuleSoft Certified Platform Architect - Level 1 - High-quality MuleSoft Free MCPA-Level-1 Updates

TOP Latest MCPA-Level-1 Exam Practice: MuleSoft Certified Platform Architect - Level 1 - High-quality MuleSoft Free MCPA-Level-1 Updates

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MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Certification Path

MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 exam is foundation level Certification. As such, there is no prerequisite for this course. Anyone who is having a keen interest and familiar with MuleSoft technology is well invited to pursue this certification.

Earning the MCPA-Level-1 certification demonstrates that the candidate has the skills and expertise needed to design and build integration solutions using the MuleSoft Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification is highly valued by employers and can help professionals advance their careers in the integration space. Additionally, MCPA-Level-1 Certified professionals are eligible to pursue advanced certifications, such as the MuleSoft Certified Platform Architect - Level 2 (MCPA-Level-2) certification, which is the highest level of certification offered by MuleSoft.

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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.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q106-Q111):

NEW QUESTION # 106
What is a best practice when building System APIs?

  • A. Expose to API clients all technical details of the API implementation's interaction wifch the backend system
  • B. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
  • C. Model all API resources and methods to closely mimic the operations of the backend system
  • D. Document the API using an easily consumable asset like a RAML definition

Answer: D


NEW QUESTION # 107
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?

  • A. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
  • B. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke a copy of the process API deployed to the DR environment
  • C. In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment; add timeout and retry logic to the process API to avoid intermittent failures; add logic to the process API to combine the results
  • D. Invoke the system API deployed to the primary environment; add retry logic to the process API to handle intermittent failures by invoking the system API deployed to the DR environment

Answer: A

Explanation:
Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
*****************************************
There is one important consideration to be noted in the question which is - System API in DR environment provides only 20% of the rate limiting offered by the primary environment. So,comparitively, very less calls will be allowed into the DR environment API opposed to its primary environment. With this in mind, lets analyse what is the right and best fault-tolerant invocation strategy.
1. Invoking both the system APIs in parallel is definitely NOT a feasible approach because of the 20% limitation we have on DR environment. Calling in parallel every time would easily and quickly exhaust the rate limits on DR environment and may not give chance to genuine intermittent error scenarios to let in during the time of need.
2. Another option given is suggesting to add timeout and retry logic to process API while invoking primary environment's system API. This is good so far. However, when all retries failed, the option is suggesting to invoke the copy of process API on DR environment which is not right or recommended. Only system API is the one to be considered for fallback and not the whole process API. Process APIs usually have lot of heavy orchestration calling many other APIs which we do not want to repeat again by calling DR's process API. So this option is NOT right.
3. One more option given is suggesting to add the retry (no timeout) logic to process API to directly retry on DR environment's system API instead of retrying the primary environment system API first. This is not at all a proper fallback. A proper fallback should occur only after all retries are performed and exhausted on Primary environment first. But here, the option is suggesting to directly retry fallback API on first failure itself without trying main API. So, this option is NOT right too.
This leaves us one option which is right and best fit.
- Invoke the system API deployed to the primary environment
- Add Timeout and Retry logic on it in process API
- If it fails even after all retries, then invoke the system API deployed to the DR environment.


NEW QUESTION # 108
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 an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
  • B. Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
  • C. Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type
  • D. Use a spike control policy that limits the number of requests for each client application type

Answer: A


NEW QUESTION # 109
Select the correct Owner-Layer combinations from below options

  • A. 1. Central IT owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. App Developers owns and focuses on System Layer APIs
  • B. 1. App Developers owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. Central IT owns and focuses on System Layer APIs
  • C. 1. App Developers owns and focuses on Experience Layer APIs
    2. Central IT owns and focuses on Process Layer APIs
    3. LOB IT owns and focuses on System Layer APIs

Answer: B

Explanation:
Correct answer:
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs

References:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership/


NEW QUESTION # 110
When can CloudHub Object Store v2 be used?

  • A. To store payloads with an average size greater than 15MB
  • B. To store key-value pairs with keys up to 300 characters
  • C. To store an unlimited number of key-value pairs
  • D. To store information in Mule 4 Object Store v1

Answer: B

Explanation:
CloudHub Object Store v2 is a managed key-value store provided by MuleSoft to support various use cases where temporary data storage is required. Here's why Option D is correct:
* Key Length Support: Object Store v2 allows storage of keys with a length of up to 300 characters, making it suitable for applications needing flexible and descriptive keys.
* Limitations on Size:
* Object Store v2 is not intended for large payload storage and has a recommended size limit below
10 MB for each value. Payloads exceeding 15 MB may cause performance issues and are better suited to a file storage system or database.
* Option B is incorrect because storing payloads above 15 MB exceeds Object Store's optimal usage specifications.
* Key-Value Limits: Object Store v2 is designed for moderate, transient storage needs, and does not support unlimited storage. Thus, Option A is incorrect.
* Backward Compatibility: Object Store v2 does not support Mule 4 applications running Object Store v1. Option C is incorrect as Object Store v1 and v2 are distinct.
ReferencesFor more on CloudHub Object Store v2, refer to MuleSoft documentation on Object Store limitations and configuration.


NEW QUESTION # 111
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