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MCPA-Level-1 Valid Exam Answers | Learning MCPA-Level-1 Materials

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q17-Q22):

NEW QUESTION # 17
What API policy would be LEAST LIKELY used when designing an Experience API that is intended to work with a consumer mobile phone or tablet application?

A. IPwhitellst
B. Client ID enforcement
C. JSON threat protection
D. OAuth 2.0 access token enforcement

Answer: C

NEW QUESTION # 18
A System API is designed to retrieve data from a backend system that has scalability challenges. What API policy can best safeguard the backend system?

A. Auth 2 token enforcement
B. IPwhitelist
C. Client ID enforcement
D. SLA-based rate limiting

Answer: A

NEW QUESTION # 19
An existing Quoting API is defined in RAML and used by REST clients for interacting with the quoting engine. Currently there is a resource defined in the RAML that allows the creation of quotes; however, a new requirement was just received to allow for the updating of existing quotes.
Which two actions need to be taken to facilitate this change so it can be processed?
Choose 2 answers

A. Add a new API policy to API Manager to allow access to the updated endpoint
B. Remove the old client applications and create new client applications to account for the changes
C. Update the RAML with new method details for the update request
D. Deprecate existing versions of the API in Exchange
E. Update the API implementation to accommodate the new update request

Answer: C,E

Explanation:
To accommodate the new requirement of allowing updates to existing quotes, the following actions should be taken:
* Update the RAML Definition (Option C):
* The RAML specification defines the structure and behavior of the API. Adding a new method (such as PUT or PATCH) for updating quotes requires modifying the RAML to include this new endpoint. This ensures the API specification is up-to-date and accurately reflects the new functionality.
* Update the API Implementation (Option A):
* Once the RAML is updated, the backend API implementation must also be modified to handle the new update requests. This could involve adding logic to process and validate update requests, connect to necessary backend resources, and apply the changes to existing quotes.
* Explanation of Incorrect Options:
* Option B (removing and creating new clients) is unnecessary; client applications can remain as they are, with no need for complete replacement.
* Option D (deprecating existing versions) may not be required if backward compatibility is maintained.
* Option E (adding a new policy) does not facilitate functional changes and is unrelated to implementing the update feature.
ReferencesFor more details on updating RAML definitions and API implementations, refer to MuleSoft's API Design documentation on RAML and RESTful API practices.

NEW QUESTION # 20
What is a key performance indicator (KPI) that measures the success of a typical C4E that is immediately apparent in responses from the Anypoint Platform APIs?

A. The fraction of API implementations deployed manually relative to those deployed using a CI/CD tool
B. The number of production outage incidents reported in the last 24 hours
C. The number of API implementations that have a publicly accessible HTTP endpoint and are being managed by Anypoint Platform
D. The number of API specifications in RAML or OAS format published to Anypoint Exchange

Answer: D

Explanation:
The number of API specifications in RAML or OAS format published to Anypoint Exchange
*****************************************
>> The success of C4E always depends on their contribution to the number of reusable assets that they have helped to build and publish to Anypoint Exchange.
>> It is NOT due to any factors w.r.t # of outages, Manual vs CI/CD deployments or Publicly accessible HTTP endpoints
>> Anypoint Platform APIs helps us to quickly run and get the number of published RAML/OAS assets to Anypoint Exchange. This clearly depicts how successful a C4E team is based on number of returned assets in the response.

NEW QUESTION # 21
Which statement is true about Spike Control policy and Rate Limiting policy?

A. To protect Experience APIs by limiting resource consumption, Rate Limiting policy must be applied
B. In a clustered environment, the Rate Limiting.and Spike Control policies are applied to each node in the cluster
C. In order to apply Rate Limiting and Spike Control policies, a contract to bind client application and API is needed for both
D. All requests are rejected after the limit is reached in Rate Limiting policy, whereas the requests are queued in Spike Control policy after the limit is reached

Answer: B

Explanation:
* Understanding Spike Control and Rate Limiting Policies:
* Spike Control Policy: Limits the number of requests processed by the API in a short time to handle sudden bursts of traffic. It does not queue requests but rejects any request that exceeds the allowed burst rate.
* Rate Limiting Policy: Sets a limit on the number of requests that an API can handle within a given timeframe. Once the limit is reached, additional requests are rejected.
* Evaluating the Options:
* Option A: Incorrect. In both Spike Control and Rate Limiting policies, requests are rejected once the limit is reached. Spike Control does not queue requests; it only controls the burst rate by rejecting excessive requests.
* Option B (Correct Answer): In a clustered environment, each node independently enforces the Rate Limiting and Spike Control policies, meaning that the limits apply to each node separately.
This ensures that each node can control its own resource usage independently within the cluster.
* Option C: This is partially correct, as Rate Limiting is often used to protect Experience APIs, but Spike Control could also be useful in limiting resource consumption under high burst conditions.
* Option D: Incorrect. Although a contract is required to enforce client-specific policies, Rate Limiting and Spike Control do not require a contract to function for general traffic control.
* Conclusion:
* Option B is the correct answer because, in a clustered environment, Rate Limiting and Spike Control policies apply separately to each node, helping each instance to manage its own load.
For more information, refer to MuleSoft's documentation on applying Rate Limiting and Spike Control policies in a clustered environment.

NEW QUESTION # 22
......

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Timothy Lewis Timothy Lewis

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