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Salesforce MuleSoft-Platform-Architect-I Questions - Shortcut To Success 2025

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

Topic
Details

Topic 1

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 2

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 3

Architecting and Deploying API Implementations: It covers important aspects like using auto-discovery, identifying VPC requirements, comparing hosting options and understanding testing methods. The topic also involves automated building, testing, and deploying in a DevOps setting.

Topic 4

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.

Topic 5

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 6

Explaining Application Network Basics: This topic includes sub-topics related to identifying and differentiating between technologies for API-led connectivity, describing the role and characteristics of web APIs, assigning APIs to tiers, and understanding Anypoint Platform components.

Topic 7

Deploying API Implementations to CloudHub: Understanding Object Store usage, selecting worker sizes, predicting app reliability and performance, and comparing load balancers. Avoiding single points of failure in deployments is also its sub-topic.

Topic 8

Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q139-Q144):

NEW QUESTION # 139
What is a best practice when building System APIs?

A. Document the API using an easily consumable asset like a RAML definition
B. Model all API resources and methods to closely mimic the operations of the backend system
C. Expose to API clients all technical details of the API implementation's interaction wifch the backend system
D. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs

Answer: B

Explanation:
Correct Answer : Model all API resources and methods to closely mimic the operations of the backend system.
*****************************************
>> There are NO fixed and straight best practices while opting data models for APIs. They are completly contextual and depends on number of factors. Based upon those factors, an enterprise can choose if they have to go with Enterprise Canonical Data Model or Bounded Context Model etc.
>> One should NEVER expose the technical details of API implementation to their API clients. Only the API interface/ RAML is exposed to API clients.
>> It is true that the RAML definitions of APIs should be as detailed as possible and should reflect most of the documentation. However, just that is NOT enough to call your API as best documented API. There should be even more documentation on Anypoint Exchange with API Notebooks etc. to make and create a developer friendly API and repository..
>> The best practice always when creating System APIs is to create their API interfaces by modeling their resources and methods to closely reflect the operations and functionalities of that backend system.

NEW QUESTION # 140
Which statement is true about Spike Control policy and Rate Limiting policy?

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

Answer: A

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 # 141
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

A. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design
B. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
C. The FQDNs are determined by both the application name and the Anypoint Platform organization
D. The FQDNs are determined by the application name, but can be modified by an administrator after deployment

Answer: B

Explanation:
Correct Answer : The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
*****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.

NEW QUESTION # 142
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 producer should be contacted to understand the change to existing functionality
C. The API client code only needs to be changed if it needs to take advantage of the new features
D. The API clients need to update the code on their side and need to do full regression

Answer: C

NEW QUESTION # 143
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

A. Create API Notebooks and include them in the relevant Anypoint Exchange entries
B. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
C. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry
D. Make relevant APIs discoverable via an Anypoint Exchange entry

Answer: A

Explanation:
Correct Answe r: 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 Reference:
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NEW QUESTION # 144
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