Expert Answers to MuleSoft Exam MCPA-Level-1 Questions

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MuleSoft Certified Platform Architect MuleSoft Certified Platform Architect - Level 1

MuleSoft Certified Platform Architect - Level 1

Last Update Apr 29, 2025
Total Questions : 152

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Questions 2

A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

Options:

Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore

Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers

Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Discussion 0

Questions 3

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?

Options:

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

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

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

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

Discussion 0

Questions 4

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?

Options:

When there are a large number of existing common assets shared by development teams

When various teams responsible for creating APIs are new to integration and hence need extensive training

When development is already organized into several independent initiatives or groups

When the majority of the applications in the application network are cloud based

Discussion 0

Questions 5

A system API has a guaranteed SLA of 100 ms per request. The system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. An upstream process API invokes the system API and the main goal of this process API is to respond to client requests in the least possible time. In what order should the system APIs be invoked, and what changes should be made in order to speed up the response time for requests from the process API?

Options:

In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment, and ONLY use the first response

In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment using a scatter-gather configured with a timeout, and then merge the responses

Invoke the system API deployed to the primary environment, and if it fails, invoke the system API deployed to the DR environment

Invoke ONLY the system API deployed to the primary environment, and add timeout and retry logic to avoid intermittent failures

Discussion 0

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