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MuleSoft MCPA-Level-1-Maintenance Exam Syllabus Topics:

Topic Details
Topic 1
  • Define and describe the benefits of API-led connectivity and application networks
  • Explain MuleSoft’s proposal for closing the IT delivery gap

Topic 2
  • Break down functional requirements into business-aligned APIs with effective granularity
  • Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency

Topic 3
  • Governing APIs on Anypoint Platform
  • Select appropriate API policies to enforce non-functional constraints on API invocations

Topic 4
  • Identify KPIs to measure the success of a C4E
  • Select Anypoint Platform identity management vs client management for the correct purpose

Topic 5
  • Identify single points of failure in typical CloudHub usage
  • Identify the components of Anypoint Platform that generate data for monitoring and alerting

Topic 6
  • Identify when redeployment of API implementations is necessary
  • Compare unit and integration tests and specify where MUnit is best employed

Topic 7
  • Select CloudHub worker sizes and configuration as appropriate
  • Specify how and when to promote APIs with API Manager


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MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q60-Q65):

NEW QUESTION # 60
What Anypoint Connectors support transactions?

  • A. Database, 3MS, HTTP
  • B. Database, JMS, VM, SFTP
  • C. Database, JMS, VM
  • D. Database, VM, File

Answer: C
NEW QUESTION # 61
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?

  • A. When the API receives a very high number of API invocations
  • B. When the response time of API invocations exceeds a threshold
  • C. When a particular API client invokes the API too often within a given time period
  • D. When the API is invoked by an unrecognized API client

Answer: B Explanation:
When the response time of API invocations exceeds a threshold
****************************************
>> Alerts can be setup for all the given options using the default Anypoint Platform functionality
>> However, the question insists on an alert whose conditions depend on the end-to-end request processing of the API implementation.
>> Alert w.r.t "Response Times" is the only one which requires end-to-end request processing of API implementation in order to determine if the threshold is exceeded or not.
NEW QUESTION # 62*
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

  • A. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
  • B. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
  • C. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
  • D. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

Answer: C Explanation:
Set a timeout of 100ms; that leaves 400ms for other two downstream APIs to complete
****************************************
Key details to take from the given scenario:
>> Upstream API's designed SLA is 500ms (median). Lets ignore maximum SLA response times.
>> This API calls 3 downstream APIs sequentially and all these are of similar complexity.
>> The first downstream API is offering median SLA of 100ms, 80th percentile: 500ms; 95th percentile:
1000ms.
Based on the above details:
>> We can rule out the option which is suggesting to set 50ms timeout. Because, if the median SLA itself being offered is 100ms then most of the calls are going to timeout and time gets wasted in retried them and eventually gets exhausted with all retries. Even if some retries gets successful, the remaining time wont leave enough room for 2nd and 3rd downstream APIs to respond within time.
>> The option suggesting to NOT set a timeout as the invocation of this API is mandatory and so we must wait until it responds is silly. As not setting time out would go against the good implementation pattern and moreover if the first API is not responding within its offered median SLA 100ms then most probably it would either respond in 500ms (80th percentile) or 1000ms (95th percentile). In BOTH cases, getting a successful response from 1st downstream API does NO GOOD because already by this time the Upstream API SLA of
500 ms is breached. There is no time left to call 2nd and 3rd downstream APIs.
>> It is NOT true that no timeout is possible to meet the upstream APIs desired SLA.
As 1st downstream API is offering its median SLA of 100ms, it means MOST of the time we would get the responses within that time. So, setting a timeout of 100ms would be ideal for MOST calls as it leaves enough room of 400ms for remaining 2 downstream API calls.
NEW QUESTION # 63*
What correctly characterizes unit tests of Mule applications?

  • A. They must be run in a unit testing environment with dedicated Mule runtimes for the environment
  • B. They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity
  • C. They test the validity of input and output of source and target systems
  • D. They must be triggered by an external client tool or event source

Answer: B Explanation:
They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity.
****************************************
Below TWO are characteristics of Integration Tests but NOT unit tests:
>> They test the validity of input and output of source and target systems.
>> They must be triggered by an external client tool or event source.
It is NOT TRUE that Unit Tests must be run in a unit testing environment with dedicated Mule runtimes for the environment.
MuleSoft offers MUnit for writing Unit Tests and they run in an embedded Mule Runtime without needing any separate/ dedicated Runtimes to execute them. They also do NOT need any external connectivity as MUnit supports mocking via stubs.
https://dzone.com/articles/munit-framework
NEW QUESTION # 64*
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

  • A. Make relevant APIs discoverable via an Anypoint Exchange entry
  • B. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • C. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
  • D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Answer: B Explanation:
Create API Notebooks and Include them in the relevant Anypoint exchange entries
****************************************
>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation
NEW QUESTION # 65
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