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Salesforce Mule-Arch-201 Exam Syllabus Topics:

SectionObjectives
Data Integration and Transformation- Batch vs real-time integration patterns
- Data mapping and transformation strategies
API Management and Governance- Governance frameworks and best practices
- API lifecycle management
- API security policies and enforcement
Performance and Scalability- Scaling Mule applications
- High availability design patterns
Anypoint Platform Architecture- Deployment models (CloudHub, hybrid, on-premises)
- Runtime Fabric architecture overview
- Anypoint Platform components and capabilities
Security and Compliance- Authentication and authorization mechanisms
- Secure API exposure and threat protection
Integration Architecture Strategy- System, process, and experience APIs
- API-led connectivity principles
- Designing enterprise integration architecture

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最新的 Salesforce MuleSoft Mule-Arch-201 免費考試真題 (Q24-Q29):

問題 #24
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?

答案:B

解題說明:
Correct Answe r: Persistent Object Store
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>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from scratch using Java code and is limited to the JVM where it is running. Which means the state in the cache is not worker aware when running on multiple workers. This type of cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform which is performant as well as worker aware among multiple workers running on CloudHub. https://docs.mulesoft.com/object-store/ So, Persistent Object Store is the right answer.


問題 #25
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?

答案:B

解題說明:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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問題 #26
Which of the following best fits the definition of API-led connectivity?

答案:B

解題說明:
Correct Answe r: API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization.
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Reference:


問題 #27
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?

答案:D

解題說明:
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.


問題 #28
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?

答案:C

解題說明:
Correct Answe r: Spike control
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>> First things first, HTTP Caching policy is for purposes different than avoiding the backend system from overloading. So this is OUT.
>> Rate Limiting and Throttling/ Spike Control policies are designed to limit API access, but have different intentions.
>> Rate limiting protects an API by applying a hard limit on its access.
>> Throttling/ Spike Control shapes API access by smoothing spikes in traffic.
That is why, Spike Control is the right option.


問題 #29
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