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The MuleSoft MCPA-Level-1-Maintenance certification exam covers a wide range of topics related to MuleSoft platform maintenance, including platform architecture, deployment, troubleshooting, and management. The exam also covers various MuleSoft tools and technologies, such as Anypoint Studio, Anypoint Platform, and Mule Runtime. Candidates are required to have a deep understanding of MuleSoft platform architecture and the ability to maintain and troubleshoot MuleSoft platforms effectively.

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The MuleSoft Certified Platform Architect - Level 1 MAINTENANCE (MCPA-Level-1-Maintenance) exam is a certification offered by MuleSoft, a leading provider of integration and API management solutions. This exam is designed for professionals who have already completed the MCPA-Level 1 exam and are looking to maintain their certification by demonstrating their knowledge and skills in the latest MuleSoft technologies and best practices.

MuleSoft MCPA-Level-1-Maintenance (MuleSoft Certified Platform Architect - Level 1 Maintenance) Exam is a certification provided by MuleSoft, a widely recognized integration platform. This certification is designed for professionals who have already achieved the MuleSoft Certified Platform Architect - Level 1 certification and want to maintain their certification. The exam is designed to test the knowledge of professionals in the maintenance and troubleshooting of MuleSoft applications.

MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q56-Q61):

NEW QUESTION # 56
Refer to the exhibit.

An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?

  • A. Workers are randomly distributed across available AZs within that region
  • B. AZs are selected as part of the Mule application's deployment configuration
  • C. An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ
  • D. Workers belonging to a given environment are assigned to the same AZ within that region

Answer: C

Explanation:
Workers are randomly distributed across available AZs within that region.
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>> Currently, we only have control to choose which AWS Region to choose but there is no control at all using any configurations or deployment options to decide what Availability Zone (AZ) to assign to what worker.
>> There are NO fixed or implicit rules on platform too w.r.t assignment of AZ to workers based on environment or application.
>> They are completely assigned in random. However, cloudhub definitely ensures that HA is achieved by assigning the workers to more than on AZ so that all workers are not assigned to same AZ for same application.


NEW QUESTION # 57
A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company's IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?

  • A. At the experience, process, and system tiers
  • B. At the experience and system tiers
  • C. At the experience and process tiers
  • D. At the process and system tiers

Answer: D

Explanation:
At the process and system tiers
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>> Experience Layer APIs are modeled and designed exclusively for the end user's experience. So, the data models of experience layer vary based on the nature and type of such API consumer. For example, Mobile consumers will need light-weight data models to transfer with ease on the wire, where as web-based consumers will need detailed data models to render most of the info on web pages, so on. So, enterprise data models fit for the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in experience tier.


NEW QUESTION # 58
The application network is recomposable: it is built for change because it "bends but does not break"

  • A. TRUE
  • B. FALSE

Answer: A

Explanation:
Explanation
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>> Application Network is a disposable architecture.
>> Which means, it can be altered without disturbing entire architecture and its components.
>> It bends as per requirements or design changes but does not break


NEW QUESTION # 59
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?

  • A. 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
  • B. Invoke ONLY the system API deployed to the primary environment, and add timeout and retry logic to avoid intermittent failures
  • C. Invoke the system API deployed to the primary environment, and if it fails, invoke the system API deployed to the DR environment
  • D. 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

Answer: A

Explanation:
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.
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>> The API requirement in the given scenario is to respond in least possible time.
>> The option that is suggesting to first try the API in primary environment and then fallback to API in DR environment would result in successful response but NOT in least possible time. So, this is NOT a right choice of implementation for given requirement.
>> Another option that is suggesting to ONLY invoke API in primary environment and to add timeout and retries may also result in successful response upon retries but NOT in least possible time. So, this is also NOT a right choice of implementation for given requirement.
>> One more option that is suggesting to invoke API in primary environment and API in DR environment in parallel using Scatter-Gather would result in wrong API response as it would return merged results and moreover, Scatter-Gather does things in parallel which is true but still completes its scope only on finishing all routes inside it. So again, NOT a right choice of implementation for given requirement The Correct choice is to invoke the API in primary environment and the API in DR environment parallelly, and using ONLY the first response received from one of them.


NEW QUESTION # 60
A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?

  • A. Performance tests
  • B. Integration tests
  • C. Functional tests (Blackbox)
  • D. Unit tests (Whitebox)

Answer: D

Explanation:
Unit tests (Whitebox)
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NEW QUESTION # 61
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