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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	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	Governing Web APIs on Anypoint Platform: This topic includes subtopics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.
Topic 4	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 5	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 6	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 subtopics.
Topic 7	Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst's structure, comparing Identity and Client Management options, and identifying data residency types are essential subtopics.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q71-Q76):

NEW QUESTION # 71
Refer to the exhibit.
Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities

B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices C) Build all API data models using XML schema to drive consistency and reuse across the organization D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant

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

Answer: D

Explanation:
Correct Answe r: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
*****************************************
>> The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
>> Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.

NEW QUESTION # 72
Refer to the exhibit.

A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?

A. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
B. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
C. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
D. The client ID and secret for the Anypoint Platform account's STAGING environment

Answer: C

Explanation:
Correct Answer : The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
*****************************************
>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
Reference:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies

NEW QUESTION # 73
A manufacturing company has deployed an API implementation to CloudHub and has not configured it to be automatically restarted by CloudHub when the worker is not responding.
Which statement is true when no API Client invokes that API implementation?

A. Alerts on the API invocations are raised but no alerts on the API implementation can be raised
B. Alerts on the APT invocation and API implementation can be raised
C. No alert on the API invocations and APT implementation can be raised
D. No alert on the API invocations is raised but alerts on the API implementation can be raised

Answer: D

Explanation:
When an API implementation is deployed on CloudHub without configuring automatic restarts in case of worker non-responsiveness, MuleSoft's monitoring and alerting behavior is as follows:
API Invocation Alerts:
If no clients are invoking the API, there will be no invocation alerts triggered, as alerts related to invocations depend on actual client requests.
Implementation-Level Alerts:
Even without invocation, CloudHub can still monitor the state of the API implementation. If the worker becomes unresponsive, an alert related to the API implementation's health or availability could still be raised.
Why Option C is Correct:
This option correctly identifies that no invocation-related alerts would be triggered in the absence of client requests, while implementation-level alerts could still be generated based on the worker's state.
Reference
For additional information, check MuleSoft documentation on CloudHub monitoring and alert configurations to understand worker status alerts versus invocation alerts.

NEW QUESTION # 74
Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?

A. Process Layer
B. Experience Layer
C. System Layer

Answer: C

Explanation:
Correct Answer : System Layer

The APIs used in an API-led approach to connectivity fall into three categories:
System APIs - these usually access the core systems of record and provide a means of insulating the user from the complexity or any changes to the underlying systems. Once built, many users, can access data without any need to learn the underlying systems and can reuse these APIs in multiple projects.
Process APIs - These APIs interact with and shape data within a single system or across systems (breaking down data silos) and are created here without a dependence on the source systems from which that data originates, as well as the target channels through which that data is delivered.
Experience APIs - Experience APIs are the means by which data can be reconfigured so that it is most easily consumed by its intended audience, all from a common data source, rather than setting up separate point-to-point integrations for each channel. An Experience API is usually created with API-first design principles where the API is designed for the specific user experience in mind.

NEW QUESTION # 75
A Platinum customer uses the U.S. control plane and deploys applications to CloudHub in Singapore with a default log configuration.
The compliance officer asks where the logs and monitoring data reside?

A. Logs and monitoring data are held in Singapore
B. Logs are held in:Singapore and monitoring data is held in the United States
C. Logs and monitoring data are held in the United States
D. Logs are held in the United States and monitoring data is held in Singapore

Answer: C

Explanation:
For applications deployed on CloudHub in a foreign region (e.g., Singapore), MuleSoft handles log and monitoring data in the region where the control plane resides. This data storage policy is standard for CloudHub deployments to maintain centralized log and monitoring data.
Data Location:
For a U.S.-based control plane, all logs and monitoring data are stored in the United States, regardless of the deployment region.
Although the application itself runs in Singapore, data related to application performance and logs is not localized to the deployment region.
of Correct Answer (B):
Since the control plane is based in the United States, all operational data like logs and monitoring will also be stored there, ensuring compliance with MuleSoft's data handling policies.
of Incorrect Options:
Option A and D are incorrect because MuleSoft does not store logs or monitoring data in the application deployment region when the control plane is located in the United States.
Option C suggests mixed storage, which does not align with MuleSoft's data policy structure.
Reference
For details on data residency in CloudHub deployments, refer to MuleSoft's documentation on CloudHub control planes and data handling policies.

NEW QUESTION # 76
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