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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Governance and organizational structure - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model |
| Topic 2: Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
| Topic 3: Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Worker sizing and resource planning - VPC and private space configuration - Deployment optimization and scaling |
| Topic 4: Designing and Sharing APIs | 11% | - API specification and documentation - API design standards and best practices - API layering: Experience, Process, System APIs - Asset sharing and reuse via Anypoint Exchange |
| Topic 5: Meeting API Quality Goals | 8% | - Performance and latency requirements - Security and compliance standards - Reliability and availability targets - Maintainability and testability |
| Topic 6: Architecting and Deploying API Implementations | 11% | - Networking and security configuration - High availability and fault tolerance - CI/CD and DevOps integration - Runtime architecture and deployment options |
| Topic 7: Monitoring and Analyzing Application Networks | 8% | - Monitoring strategies and tools - Logging and alerting configuration - Operational visibility and optimization - Analytics and insight generation |
| Topic 8: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Event-driven and synchronous integration - Error handling and reliability patterns - Scalability and performance patterns |
| Topic 9: Managing APIs | 12% | - Rate limiting and throttling - API lifecycle management - API policies and security enforcement - Versioning and deprecation strategies |
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質問 # 149
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?
正解：B
解説：
Correct Answe r: When the response time of API invocations exceeds a threshold
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>> Alerts can be setup for all the given options using the default Anypoint Platform functionality
>> However, the question insists on an alert whose conditions depend on the end-to-end request processing of the API implementation.
>> Alert w.r.t "Response Times" is the only one which requires end-to-end request processing of API implementation in order to determine if the threshold is exceeded or not.
質問 # 150
A large organization with an experienced central IT department is getting started using MuleSoft. There is a project to connect a siloed back-end system to a new Customer Relationship Management (CRM) system. The Center for Enablement is coaching them to use API-led connectivity.
What action would support the creation of an application network using API-led connectivity?
正解：A
解説：
For an organization starting with API-led connectivity to integrate a siloed back-end system with a new CRM, the following approach aligns with best practices and MuleSoft's Center for Enablement (C4E) guidance:
API-led Connectivity: This model organizes APIs into distinct layers (System, Process, and Experience) to improve reusability, modularity, and manageability.
System APIs are used to expose and unlock data from core systems (such as back-end applications or databases).
Process APIs orchestrate data across multiple systems and transform it as needed.
Experience APIs format the data specifically for consumption by applications or devices, such as the CRM in this case.
Step to Support Application Network:
Create a System API for the back-end system. This API should expose the necessary data to support integration with the CRM.
By creating a System API with a RESTful interface, data can be accessed in a standardized way, making it easier to integrate with other systems and supporting future scalability.
Why Option D is Correct:
Creating a System API aligns with the principle of API-led connectivity, ensuring that data is exposed in a reusable manner. This API can then be orchestrated by Process APIs as needed to meet CRM requirements and can easily be extended to other applications.
of Incorrect Options:
Option A (creating a business process model) does not directly enable connectivity or expose back-end data through APIs.
Option B is unnecessary at this stage; assessing CRM capabilities like OAuth 2.0 support is not directly related to creating the application network via System APIs.
Option C contradicts API-led best practices by suggesting a point-to-point integration, which API-led connectivity seeks to avoid due to its lack of flexibility and scalability.
Reference
Refer to MuleSoft's API-led Connectivity resources for a detailed framework on building scalable integration layers using System, Process, and Experience APIs.
質問 # 151
Once an API Implementation is ready and the API is registered on API Manager, who should request the access to the API on Anypoint Exchange?
正解：C
解説：
Correct Answe r: API Consumer
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>> API clients are piece of code or programs that use the client credentials of API consumer but does not directly interact with Anypoint Exchange to get the access
>> API consumer is the one who should get registered and request access to API and then API client needs to use those client credentials to hit the APIs So, API consumer is the one who needs to request access on the API from Anypoint Exchange
質問 # 152
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?
正解：D
解説：
Correct Answe r: By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
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Reference:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers
質問 # 153
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?
正解：B
解説：
Correct Answe r: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
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>> 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.
質問 # 154
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