Salesforce MuleSoft-Integration-Architect-I Exam With Confidence Using Practice Dumps

Before API developers implement the API specification, it is crucial for the API designer to publish the API specification to Anypoint Exchange and solicit feedback from the API's consumers. This step aligns with MuleSoft's recommended approach to full lifecycle API development, which emphasizes collaboration and feedback to ensure the API meets the needs and expectations of its consumers.

Generating test cases, creating an API portal, and versioning the API specification are important steps in the development lifecycle, but soliciting feedback ensures that any potential issues or improvements are identified early in the process. This collaborative approach helps in building a more effective and consumer-friendly API.

References

MuleSoft API Design Best Practices

Anypoint Platform Documentation on API Development Lifecycle

Explanation

We need to note few things about the scenario which will help us in reaching the correct solution.

Point 1 : The APIs are all publicly available and are associated with several mobile applications and web applications. This means Apply an IP blacklist policy is not viable option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from mobile application

Point 2 : The organization does NOT want to use any authentication or compliance policies for these APIs. This means we can not apply HTTPS mutual authentication scheme.

Header injection or removal will not help the purpose.

By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object, the malicious code inflicts its damages. An inordinate increase in the size and depth of the JSON payload can indicate injection. Applying the JSON threat protection policy can limit the size of your JSON payload and thwart recursive additions to the JSON hierarchy.

Hence correct answer is Apply a JSON threat protection policy to all APIs to detect potential threat vectors

Explanation

* Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of your Mule applications and gateways.

* Runtime Fabric runs on customer-managed infrastructure on AWS, Azure, virtual machines (VMs) or bare-metal servers.

* As none of the Mule applications use Mule domain projects. applications are not required to be rewritten. Also when applications are deployed on RTF, by default ingress is allowed only on 8081.

* Hence port conflicts are not required to be managed by DevOps team