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| Section | Weight | Objectives |
|---|---|---|
| Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Security and compliance standards - Maintainability and testability |
| Managing APIs | 12% | - Versioning and deprecation strategies - API policies and security enforcement - Rate limiting and throttling - API lifecycle management |
| Designing and Sharing APIs | 11% | - API design standards and best practices - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs |
| Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Runtime architecture and deployment options - CI/CD and DevOps integration - Networking and security configuration |
| Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - VPC and private space configuration - Deployment optimization and scaling - CloudHub architecture and capabilities |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Operational visibility and optimization - Logging and alerting configuration - Monitoring strategies and tools |
| Establishing Organizational and Platform Foundations | 17% | - Governance and organizational structure - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components - Platform strategy and roadmap definition |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Event-driven and synchronous integration - Error handling and reliability patterns - Scalability and performance patterns |
| Explaining Application Network Basics | 11% | - Benefits of modern API design - Core concepts of application networks - API-led connectivity principles |
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問題 #32
The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?
答案:D
解題說明:
Correct Answe r: Implement required changes to the Process API implementation so that, whenever possible, the Process API's RAML definition remains unchanged.
*****************************************
Key requirement in the question is:
>> Approach that minimizes the impact of this change on API clients
Based on above:
>> Updating the RAML definition would possibly impact the API clients if the changes require any thing mandatory from client side. So, one should try to avoid doing that until really necessary.
>> Implementing the changes as a completely different API and then redirectly the clients with 3xx status code is really upsetting design and heavily impacts the API clients.
>> Organisations and IT cannot simply postpone the changes required until all API consumers acknowledge they are ready to migrate to a new Process API or API version. This is unrealistic and not possible.
The best way to handle the changes always is to implement required changes to the API implementations so that, whenever possible, the API's RAML definition remains unchanged.
問題 #33
What CANNOT be effectively enforced using an API policy in Anypoint Platform?
答案:C
解題說明:
Correct Answe r: Guarding against Denial of Service attacks
*****************************************
>> Backend system overloading can be handled by enforcing "Spike Control Policy"
>> Logging HTTP requests and responses can be done by enforcing "Message Logging Policy"
>> Credentials can be tamper-proofed using "Security" and "Compliance" Policies However, unfortunately, there is no proper way currently on Anypoint Platform to guard against DOS attacks.
問題 #34
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?
答案:C
解題說明:
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.
問題 #35
An organization has built an application network following the API-led connectivity approach recommended by MuleSoft. To protect the application network against attacks from malicious external API clients, the organization plans to apply JSON Threat Protection policies.
To which API-led connectivity layer should the JSON Threat Protection policies most commonly be applied?
答案:C
解題說明:
Understanding JSON Threat Protection Policies:
JSON Threat Protection policies are used to protect APIs from attacks that exploit JSON payloads, such as oversized payloads, deeply nested objects, and excessive array elements. This helps prevent Denial of Service (DoS) attacks and other malicious payload-related threats.
These policies are typically applied to safeguard APIs that are directly exposed to external clients, where the risk of receiving malicious payloads is highest.
API-led Connectivity Layers:
Experience Layer: This layer is designed to expose APIs to end-users or external API clients, often acting as the interface that interacts with users or applications.
Process Layer: This layer is used for orchestration and aggregation of data from various System APIs, typically operating within a trusted environment and not directly exposed to external clients.
System Layer: This layer provides access to backend systems and databases, often within the organization's secure environment and not directly accessible to external clients.
Evaluating the Options:
Option A (All layers): While JSON Threat Protection can technically be applied to all layers, it is most commonly applied at the Experience layer, where APIs are exposed to external traffic and are more vulnerable to attacks.
Option B (System layer): The System layer is generally not exposed to external clients directly, so JSON Threat Protection is less critical here.
Option C (Process layer): Similar to the System layer, the Process layer is typically internal and not exposed directly to external clients, so JSON Threat Protection is less commonly applied.
Option D (Correct Answer): The Experience layer is the correct answer because it is the layer that directly interacts with external clients, making it the primary target for malicious payloads. Applying JSON Threat Protection here effectively protects the application network from external threats.
Conclusion:
Option D is the correct answer, as the Experience layer is the most common layer for applying JSON Threat Protection policies to protect against external attacks.
For further reference, consult MuleSoft's documentation on API security policies and best practices for securing APIs at the Experience layer.
問題 #36
Select the correct Owner-Layer combinations from below options
答案:A
解題說明:
Correct Answe r:
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs
Reference:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership/
問題 #37
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