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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q35-Q40):

NEW QUESTION # 35
Refer to the exhibit.

What is a valid API in the sense of API-led connectivity and application networks?
A)Java RMI over TCP

B)Java RMI over TCP

C)CORBA over HOP

D)XML over UDP

A. Option C
B. Option A
C. Option D
D. Option B

Answer: C

Explanation:
XML over HTTP
*****************************************
>> API-led connectivity and Application Networks urge to have the APIs on HTTP based protocols for building most effective APIs and networks on top of them.
>> The HTTP based APIs allow the platform to apply various varities of policies to address many NFRs
>> The HTTP based APIs also allow to implement many standard and effective implementation patterns that adhere to HTTP based w3c rules.

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NEW QUESTION # 36
When using CloudHub with the Shared Load Balancer, what is managed EXCLUSIVELY by the API implementation (the Mule application) and NOT by Anypoint Platform?

A. The logging configuration that enables log entries to be visible in Runtime Manager
B. The assignment of each HTTP request to a particular CloudHub worker
C. The number of DNS entries allocated to the API implementation
D. The SSL certificates used by the API implementation to expose HTTPS endpoints

Answer: D

Explanation:
Correct answer: The SSL certificates used by the API implementation to expose HTTPS endpoints
*****************************************
>> The assignment of each HTTP request to a particular CloudHub worker is taken care by Anypoint Platform itself. We need not manage it explicitly in the API implementation and in fact we CANNOT manage it in the API implementation.
>> The logging configuration that enables log entries to be visible in Runtime Manager is ALWAYS managed in the API implementation and NOT just for SLB. So this is not something we do EXCLUSIVELY when using SLB.
>> We DO NOT manage the number of DNS entries allocated to the API implementation inside the code. Anypoint Platform takes care of this.
It is the SSL certificates used by the API implementation to expose HTTPS endpoints that is to be managed EXCLUSIVELY by the API implementation. Anypoint Platform does NOT do this when using SLBs.

NEW QUESTION # 37
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?

A. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
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 resource definitions by adding a description of the rate limiting policy behavior

Answer: C

NEW QUESTION # 38
A customer has an ELA contract with MuleSoft. An API deployed to CloudHub is consistently experiencing performance issues. Based on the root cause analysis, it is determined that autoscaling needs to be applied.
How can this be achieved?

A. Configure a policy based on CPU usage so that CloudHub auto-adjusts the number of workers/replicas (horizontal scaling)
B. Configure a policy so that when the response time reaches a certain threshold the worker/replica type increases (vertical scaling)
C. Configure two separate policies: When CPU and memory reach certain threshold, increase the worker
/replica type (vertical sealing) and the number of workers/replicas (horizontal sealing)
D. Configure a policy so that when the number of HTTP requests reaches a certain threshold the number of workers/replicas increases (horizontal scaling)

Answer: A

Explanation:
In MuleSoft CloudHub, autoscaling is essential to managing application load efficiently. CloudHub supports horizontal scaling based on CPU usage, which is well-suited to applications experiencing variable demand and needing responsive resource allocation.
* Autoscaling on CloudHub:
* Horizontal scaling increases the number of workers in response to CPU usage thresholds, allowing the application to handle higher loads dynamically. This approach improves performance without downtime or manual intervention.
* Why Option C is Correct:
* Setting up autoscaling based on CPU usage aligns with MuleSoft's best practices for scalable and responsive applications on CloudHub, particularly in an environment with fluctuating load patterns.
* Option C correctly leverages CloudHub's autoscaling features based on resource metrics, which are part of CloudHub's managed scaling solutions.
* Explanation of Incorrect Options:
* Option A (based on HTTP request thresholds) and Option B (separate policies for CPU and memory) do not represent CloudHub's recommended scaling practices.
* Option D suggests vertical scaling based on response time, which is not how CloudHub handles autoscaling.
ReferencesFor more on CloudHub's autoscaling configuration, refer to MuleSoft documentation on CloudHub autoscaling policies.

NEW QUESTION # 39
An API implementation is deployed on a single worker on CloudHub and invoked by external API clients (outside of CloudHub). How can an alert be set up that is guaranteed to trigger AS SOON AS that API implementation stops responding to API invocations?

A. Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond
B. Create an alert for when the API receives no requests within a specified time period
C. Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable
D. Configure a "worker not responding" alert in Anypoint Runtime Manager

Answer: D

Explanation:
Configure a "Worker not responding" alert in Anypoint Runtime Manager.
*****************************************
>> All the options eventually helps to generate the alert required when the application stops responding.
>> However, handling exceptions within calling API and then raising alert from API client is inappropriate and silly. There could be many API clients invoking the API implementation and it is not ideal to have this setup consistently in all of them. Not a realistic way to do.
>> Implementing a health check/ heartbeat with in the API and calling from outside to detmine the health sounds OK but needs extra setup for it and same time there are very good chances of generating false alarms when there are any intermittent network issues between external tool calling the health check API on API implementation. The API implementation itself may not have any issues but due to some other factors some false alarms may go out.
>> Creating an alert in API Manager when the API receives no requests within a specified time period would actually generate realistic alerts but even here some false alarms may go out when there are genuinely no requests from API clients.
The best and right way to achieve this requirement is to setup an alert on Runtime Manager with a condition
"Worker not responding". This would generate an alert AS SOON AS the workers become unresponsive.

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NEW QUESTION # 40
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