MCPA-LEVEL-1 RELIABLE EXAM PREPARATION & NEW MCPA-LEVEL-1 BRAINDUMPS QUESTIONS

MCPA-Level-1 Reliable Exam Preparation & New MCPA-Level-1 Braindumps Questions

MCPA-Level-1 Reliable Exam Preparation & New MCPA-Level-1 Braindumps Questions

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q126-Q131):

NEW QUESTION # 126
An API implementation is being designed that must invoke an Order API, which is known to repeatedly experience downtime.
For this reason, a fallback API is to be called when the Order API is unavailable.
What approach to designing the invocation of the fallback API provides the best resilience?

  • A. Search Anypoint Exchange for a suitable existing fallback API, and then implement invocations to this fallback API in addition to the Order API
  • B. Create a separate entry for the Order API in API Manager, and then invoke this API as a fallback API if the primary Order API is unavailable
  • C. Redirect client requests through an HTTP 307 Temporary Redirect status code to the fallback API whenever the Order API is unavailable
  • D. Set an option in the HTTP Requester component that invokes the Order API to instead invoke a fallback API whenever an HTTP 4xx or 5xx response status code is returned from the Order API

Answer: A

Explanation:
Search Anypoint exchange for a suitable existing fallback API, and then implement invocations to this fallback API in addition to the order API
*****************************************
>> It is not ideal and good approach, until unless there is a pre-approved agreement with the API clients that they will receive a HTTP 3xx temporary redirect status code and they have to implement fallback logic their side to call another API.
>> Creating separate entry of same Order API in API manager would just create an another instance of it on top of same API implementation. So, it does NO GOOD by using clone od same API as a fallback API.
Fallback API should be ideally a different API implementation that is not same as primary one.
>> There is NO option currently provided by Anypoint HTTP Connector that allows us to invoke a fallback API when we receive certain HTTP status codes in response.
The only statement TRUE in the given options is to Search Anypoint exchange for a suitable existing fallback API, and then implement invocations to this fallback API in addition to the order API.


NEW QUESTION # 127
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon.
This is the only downstream API dependency of that upstream API.

  • A. An SLA for the upstream API CANNOT be provided
  • B. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
  • C. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
  • D. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
  • E. The invocation of the downstream API will run to completion without timing out

Answer: D


NEW QUESTION # 128
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 spike control policy that limits the number of requests for each client application 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 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 # 129
A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?

  • A. When there are a large number of existing common assets shared by development teams
  • B. When development is already organized into several independent initiatives or groups
  • C. When various teams responsible for creating APIs are new to integration and hence need extensive training
  • D. When the majority of the applications in the application network are cloud based

Answer: B

Explanation:
Correct answer: When development is already organized into several independent initiatives or groups
*****************************************
>> It would require lot of process effort in an organization to have a single C4E team coordinating with multiple already organized development teams which are into several independent initiatives. A single C4E works well with different teams having at least a common initiative. So, in this scenario, federated C4E works well instead of centralized C4E.


NEW QUESTION # 130
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 total process execution time is now 100 milliseconds (.1 seconds)
  • B. The application scalability threshold is five requests per second regardless of the horizontal scaling
  • C. The application scalability threshold is now 10 requests per second
  • D. Horizontal scaling cannot be applied to an already-running application

Answer: B

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 # 131
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