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To pass the MCPA-Level-1 exam, candidates must successfully demonstrate their ability to design and implement MuleSoft solutions that meet the needs of their clients. MCPA-Level-1 exam covers a range of topics, including Anypoint Platform architecture, integration patterns, API implementation, data integration, and deployment. MCPA-Level-1 certification is an excellent way for architects to demonstrate their skills and knowledge to potential employers, clients, and colleagues. It is also a valuable credential for individuals who want to advance their careers in the field of application integration and development.

The MCPA-Level-1 Certification Exam covers a wide range of topics related to MuleSoft's platform architecture, including API-led connectivity, message routing, data mapping, and security. MCPA-Level-1 exam consists of 65 multiple-choice questions that must be answered within 120 minutes. The passing score for the exam is 70%, and candidates who pass the exam will receive a certificate of completion.

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

NEW QUESTION # 89
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?

A. By refining the resource definitions by adding a description of the rate limiting policy behavior
B. By refining the request definitions by adding a remaining Requests query parameter with description, type, and example
C. By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
D. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example

Answer: C

NEW QUESTION # 90
Refer to the exhibit.

A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?

A. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
B. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
C. The client ID and secret for the Anypoint Platform account's STAGING environment
D. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret

Answer: B

Explanation:
Correct answer: The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
*****************************************
>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
References:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies

NEW QUESTION # 91
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 C
C. Option D
D. Option A

Answer: D

NEW QUESTION # 92
An API implementation is updated. When must the RAML definition of the API also be updated?

A. When the API implementation is optimized to improve its average response time
B. When the API implementation changes the structure of the request or response messages
C. When the API implementation is migrated from an older to a newer version of the Mule runtime
D. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system

Answer: B

Explanation:
Correct answer: When the API implementation changes the structure of the request or response messages
*****************************************
>> RAML definition usually needs to be touched only when there are changes in the request/response schemas or in any traits on API.
>> It need not be modified for any internal changes in API implementation like performance tuning, backend system migrations etc..

NEW QUESTION # 93
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?

A. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
B. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
D. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore

Answer: B

Explanation:
Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than
70%
*****************************************
The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:
1. CPU
2. Order Submission Rate to JMS Queue
>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.
>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before.
Only CPU utilization comes down.
>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.
Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.

NEW QUESTION # 94
......

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Jack Foster Jack Foster

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