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Pass Guaranteed 2025 Salesforce Valid MuleSoft-Platform-Architect-I: Salesforce Certified MuleSoft Platform Architect I Exam Price

Pass Guaranteed 2025 Salesforce Valid MuleSoft-Platform-Architect-I: Salesforce Certified MuleSoft Platform Architect I Exam Price

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Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q41-Q46):

NEW QUESTION # 41
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

  • A. An SLA for the upstream API CANNOT be provided
  • B. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
  • C. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
  • D. The invocation of the downstream API will run to completion without timing out

Answer: A

Explanation:
Correct Answer : An SLA for the upstream API CANNOT be provided.
*****************************************
>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10 seconds). NOT 500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always guarantee that the invocation of the downstream API will run to completion without timing out due to its unreliable SLA times. If the response time crosses 10 seconds then the request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be provided.


NEW QUESTION # 42
Refer to the exhibit.

A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.
The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.
What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?
A) Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console

B) Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it D) Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass

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

Answer: A

Explanation:
Correct Answe r: Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
*****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.


NEW QUESTION # 43
What API policy would LEAST likely be applied to a Process API?

  • A. Custom circuit breaker
  • B. JSON threat protection
  • C. Rate limiting
  • D. Client ID enforcement

Answer: B

Explanation:
Correct Answer : JSON threat protection
*****************************************
Fact: Technically, there are no restrictions on what policy can be applied in what layer. Any policy can be applied on any layer API. However, context should also be considered properly before blindly applying the policies on APIs.
That is why, this question asked for a policy that would LEAST likely be applied to a Process API.
From the given options:
>> All policies except "JSON threat protection" can be applied without hesitation to the APIs in Process tier.
>> JSON threat protection policy ideally fits for experience APIs to prevent suspicious JSON payload coming from external API clients. This covers more of a security aspect by trying to avoid possibly malicious and harmful JSON payloads from external clients calling experience APIs.
As external API clients are NEVER allowed to call Process APIs directly and also these kind of malicious and harmful JSON payloads are always stopped at experience API layer only using this policy, it is LEAST LIKELY that this same policy is again applied on Process Layer API.


NEW QUESTION # 44
Which of the below, when used together, makes the IT Operational Model effective?

  • A. Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics
  • B. Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs
  • C. Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not

Answer: B

Explanation:
Correct Answer : Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.
*****************************************


NEW QUESTION # 45
Which statement is true about Spike Control policy and Rate Limiting policy?

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

Answer: C

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 # 46
......

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