MuleSoft MCPA-Level-1 Exam Dumps

The CloudHub shared load balancer

Explanation: Explanation
Correct Answer: The CloudHub shared load balancer
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The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to
handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer loadbalancing
solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among
the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there
are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective
(needs custom load balancer to maintain and licensing) and same time the Mule App is not
having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or
load balancing.
So, the only right option to go with and fits the purpose of scenario being most costeffective
is - using a CloudHub Shared Load Balancer

Create API Notebooks and include them in the relevant Anypoint Exchange entries

Explanation: Explanation
Correct Answer: Create API Notebooks and Include them in the relevant Anypoint
exchange entries
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>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric
API documentation
: https://docs.mulesoft.com/exchange/to-use-api-notebook
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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

Explanation: Explanation
Correct Answer: 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

4.0.0

Explanation: Explanation
Correct Answer: 4.0.0
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As per semver.org semantic versioning specification:
Given a version number MAJOR.MINOR.PATCH, increment the:
- MAJOR version when you make incompatible API changes.
- MINOR version when you add functionality in a backwards compatible manner.
- PATCH version when you make backwards compatible bug fixes.
As per the scenario given in the question, the API implementation is completely changing
its behavior. Although the format of the time is still being maintained as hh:mm:ss and there
is no change in schema w.r.t format, the API will start functioning different after this change
as the times are going to come completely different.
Example: Before the change, say, time is going as 09:00:00 representing the PST. Now on,
after the change, the same time will go as 18:00:00 as Central European Summer Time is
9 hours ahead of Pacific Time.
>> This may lead to some uncertain behavior on API clients depending on how they are
handling the times in the API response. All the API clients need to be informed that the API
functionality is going to change and will return in CEST format. So, this considered as a
MAJOR change and the version of API for this new change would be 4.0.0

It makes API Manager aware of API implementations and hence enables it to enforce policies

Explanation: Explanation
Correct Answer: It makes API Manager aware of API implementations and hence enables it
to enforce policies.
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>> API Autodiscovery is a mechanism that manages an API from API Manager by pairing
the deployed application to an API created on the platform.
>> API Management includes tracking, enforcing policies if you apply any, and reporting
API analytics.
>> Critical to the Autodiscovery process is identifying the API by providing the API name
and version.
References:
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
https://docs.mulesoft.com/api-manager/1.x/api-auto-discovery
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept