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Salesforce Mule-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Architecting and Deploying API Implementations11%- CI/CD and DevOps integration
- Networking and security configuration
- High availability and fault tolerance
- Runtime architecture and deployment options
Establishing Organizational and Platform Foundations17%- Platform strategy and roadmap definition
- Center for Enablement (C4E) operating model
- Anypoint Platform architecture and components
- Governance and organizational structure
Meeting API Quality Goals8%- Performance and latency requirements
- Security and compliance standards
- Reliability and availability targets
- Maintainability and testability
Monitoring and Analyzing Application Networks8%- Logging and alerting configuration
- Monitoring strategies and tools
- Analytics and insight generation
- Operational visibility and optimization
Designing and Sharing APIs11%- API specification and documentation
- Asset sharing and reuse via Anypoint Exchange
- API layering: Experience, Process, System APIs
- API design standards and best practices
Explaining Application Network Basics11%- Core concepts of application networks
- API-led connectivity principles
- Benefits of modern API design
Deploying API Implementations to CloudHub11%- Deployment optimization and scaling
- VPC and private space configuration
- Worker sizing and resource planning
- CloudHub architecture and capabilities
Applying Integration Patterns11%- Event-driven and synchronous integration
- Scalability and performance patterns
- Error handling and reliability patterns
- Common integration patterns and use cases
Managing APIs12%- Versioning and deprecation strategies
- API policies and security enforcement
- API lifecycle management
- Rate limiting and throttling

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Salesforce Certified MuleSoft Platform Architect Sample Questions (Q136-Q141):

NEW QUESTION # 136
The application network is recomposable: it is built for change because it "bends but does not break"

Answer: A

Explanation:
*****************************************
>> Application Network is a disposable architecture.
>> Which means, it can be altered without disturbing entire architecture and its components.
>> It bends as per requirements or design changes but does not break


NEW QUESTION # 137
What are the major benefits of MuleSoft proposed IT Operating Model?

Answer: A

Explanation:
Correct Answe r:
1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Make consumption of assets at the rate of production.
*****************************************


NEW QUESTION # 138
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

Answer: C

Explanation:
Correct Answe r: From the Mule runtime irrespective of the deployment model
*****************************************
>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.
>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).
>> Similarly all API Implementations also run on Mule Runtimes.
So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.


NEW QUESTION # 139
Refer to the exhibit.
What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs) D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

Answer: A

Explanation:
Correct Answe r: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.
*****************************************
>> All customizations for the end-user application should be handled in "Experience API" only. Not in Process API
>> We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.
>> Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.
So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.


NEW QUESTION # 140
What do the API invocation metrics provided by Anypoint Platform provide?

Answer: A

Explanation:
Correct Answe r: Data on past API invocations to help identify anomalies and usage patterns across various APIs
*****************************************
API Invocation metrics provided by Anypoint Platform:
>> Does NOT provide any Return Of Investment (ROI) related information. So the option suggesting it is OUT.
>> Does NOT provide any information w.r.t how APIs are reused, whether there is effective usage of APIs or not etc...
>> Does NOT prodive any prediction information as such to help us proactively identify any future policy violations.
So, the kind of data/information we can get from such metrics is on past API invocations to help identify anomalies and usage patterns across various APIs.


NEW QUESTION # 141
......

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