QUIZ MULESOFT-PLATFORM-ARCHITECT-I - USEFUL SALESFORCE CERTIFIED MULESOFT PLATFORM ARCHITECT I VALID EXAM DISCOUNT

Quiz MuleSoft-Platform-Architect-I - Useful Salesforce Certified MuleSoft Platform Architect I Valid Exam Discount

Quiz MuleSoft-Platform-Architect-I - Useful Salesforce Certified MuleSoft Platform Architect I Valid Exam Discount

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MuleSoft-Platform-Architect-I Test Questions | MuleSoft-Platform-Architect-I Actual Test Answers

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Salesforce MuleSoft-Platform-Architect-I Exam Syllabus Topics:

TopicDetails
Topic 1
  • Governing Web APIs on Anypoint Platform: This topic includes sub-topics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.
Topic 2
  • Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
Topic 3
  • Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.
Topic 4
  • Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its sub-topics.
Topic 5
  • Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which statement is true about Spike Control policy and Rate Limiting policy?

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

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 # 95
A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?

  • A. Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.
  • B. Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment
  • C. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager
  • D. Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager

Answer: A

Explanation:
Correct Answer : Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIs
*****************************************
>> Anypoint Exchange is for asset discovery and documentation. It has got no provision to modify the properties of Mule API implementations at all.
>> API Manager is for managing API instances, their contracts, policies and SLAs. It has also got no provision to modify the properties of API implementations.
>> API policies are to address Non-functional requirements of APIs and has again got no provision to modify the properties of API implementations.
So, the right way and recommended way to do this as part of development practice is to bundle properties files for each environment into the Mule API implementation and just point and refer to respective file per environment.


NEW QUESTION # 96
An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

  • A. The API producer should be requested to run the old version in parallel with the new one
  • B. The API client code only needs to be changed if it needs to take advantage of the new features
  • C. The API clients need to update the code on their side and need to do full regression
  • D. The API producer should be contacted to understand the change to existing functionality

Answer: B


NEW QUESTION # 97
What is typically NOT a function of the APIs created within the framework called API-led connectivity?

  • A. They allow for innovation at the user Interface level by consuming the underlying assets without being aware of how data Is being extracted from backend systems.
  • B. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
  • C. They can compose data from various sources and combine them with orchestration logic to create higher level value.
  • D. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.

Answer: B

Explanation:
Correct Answer : They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
*****************************************
In API-led connectivity,
>> Experience APIs - allow for innovation at the user interface level by consuming the underlying assets without being aware of how data is being extracted from backend systems.
>> Process APIs - compose data from various sources and combine them with orchestration logic to create higher level value
>> System APIs - reduce the dependency on the underlying backend systems by helping unlock data from backend systems in a reusable and consumable way.
However, they NEVER promise that they provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
https://dzone.com/articles/api-led-connectivity-with-mule


NEW QUESTION # 98
An organization has implemented a Customer Address API to retrieve customer address information. This API has been deployed to multiple environments and has been configured to enforce client IDs everywhere.
A developer is writing a client application to allow a user to update their address. The developer has found the Customer Address API in Anypoint Exchange and wants to use it in their client application.
What step of gaining access to the API can be performed automatically by Anypoint Platform?

  • A. Create a new application in Anypoint Exchange for requesting access to the API
  • B. Modify the client application to call the API using the client application's credentials
  • C. Request access to the appropriate API Instances deployed to multiple environments using the client application's credentials
  • D. Approve the client application request for the chosen SLA tier

Answer: D

Explanation:
Correct Answer : Approve the client application request for the chosen SLA tier
*****************************************
>> Only approving the client application request for the chosen SLA tier can be automated
>> Rest of the provided options are not valid


NEW QUESTION # 99
......

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