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MCPA-Level-1 Actual Test Guide Boosts Most efficient Exam Questions for Your MuleSoft Certified Platform Architect - Level 1 Exam

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q19-Q24):

NEW QUESTION # 19
The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?

A. Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
B. Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged
C. Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation
D. Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition

Answer: D

NEW QUESTION # 20
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?

A. Redis distributed cache
B. File-based storage
C. Persistent Object Store
D. java.util.WeakHashMap

Answer: C

Explanation:
Correct answer: Persistent Object Store
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>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from scratch using Java code and is limited to the JVM where it is running. Which means the state in the cache is not worker aware when running on multiple workers. This type of cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform which is performant as well as worker aware among multiple workers running on CloudHub. https://docs.mulesoft.com/object-store/ So, Persistent Object Store is the right answer.

NEW QUESTION # 21
What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?

A. They must use a Jurisdiction-local external messaging system such as Active MQ rather than Anypoint MQ
B. They must te deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction
C. They must ensure ALL data is encrypted both in transit and at rest
D. They must avoid using the Object Store as it depends on services deployed ONLY to the US East region

Answer: B

Explanation:
Correct answer: They must be deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction.
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>> As per legal regulations, all data processing to be performed within a certain jurisdiction. Meaning, the data in USA should reside within USA and should not go out. Same way, the data in EU should reside within EU and should not go out.
>> So, just encrypting the data in transit and at rest does not help to be compliant with the rules. We need to make sure that data does not go out too.
>> The data that we are talking here is not just about the messages that are published to Anypoint MQ. It includes the apps running, transaction states, application logs, events, metric info and any other metadata. So, just replacing Anypoint MQ with a locally hosted ActiveMQ does NOT help.
>> The data that we are talking here is not just about the key/value pairs that are stored in Object Store. It includes the messages published, apps running, transaction states, application logs, events, metric info and any other metadata. So, just avoiding using Object Store does NOT help.
>> The only option left and also the right option in the given choices is to deploy application on runtime and control planes that are both within the jurisdiction.

NEW QUESTION # 22
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 x-ratelimit-* response headers with description, type, and example
B. By refining the resource definitions by adding a description of the rate limiting policy behavior
C. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
D. By refining the request definitions by adding a remaining Requests query parameter with description, type, and example

Answer: A

Explanation:
Correct answer: By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
*****************************************

References:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers

NEW QUESTION # 23
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. Invoke the system API deployed to the primary environment, and if it fails, invoke the system API deployed to the DR environment
B. 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
C. Invoke ONLY the system API deployed to the primary environment, and add timeout and retry logic to avoid intermittent failures
D. 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

Answer: D

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.
*****************************************
>> 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 # 24
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