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| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Analyzing Application Networks | 8% | - Monitoring strategies and tools - Operational visibility and optimization - Logging and alerting configuration - Analytics and insight generation |
| Meeting API Quality Goals | 8% | - Maintainability and testability - Security and compliance standards - Performance and latency requirements - Reliability and availability targets |
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure |
| Managing APIs | 12% | - API lifecycle management - Versioning and deprecation strategies - API policies and security enforcement - Rate limiting and throttling |
| Designing and Sharing APIs | 11% | - Asset sharing and reuse via Anypoint Exchange - API design standards and best practices - API specification and documentation - API layering: Experience, Process, System APIs |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Error handling and reliability patterns - Scalability and performance patterns - Event-driven and synchronous integration |
| Architecting and Deploying API Implementations | 11% | - CI/CD and DevOps integration - High availability and fault tolerance - Runtime architecture and deployment options - 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 |
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NEW QUESTION # 55
An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?
Answer: D
NEW QUESTION # 56
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
Answer: C
Explanation:
Correct Answe r: By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
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>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately control access for some users to have Anypoint CLI and others to have Anypoint Platform APIs. With proper general roles/permissions (API Owner, Cloudhub Admin etc..), one can use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or automation.
NEW QUESTION # 57
Which out-of-the-box key performance indicator measures the success of a typical Center for Enablement and is immediately available in responses from Anypoint Platform APIs?
Answer: C
Explanation:
Center for Enablement (C4E) KPIs:
A Center for Enablement (C4E) in MuleSoft focuses on enabling self-service and reuse by providing APIs that can be consumed across the organization. A key metric of success is how many consumers are utilizing the published APIs.
The number of consumers who have requested and received access to an API indicates the level of adoption and reuse, which aligns with the goals of a C4E.
Evaluating the Options:
Option A: This metric could indicate deployment automation, but it is not a direct measure of C4E's success in enabling API reuse and consumption.
Option B: Bandwidth usage per API implementation provides insight into API traffic but does not measure C4E enablement or consumer engagement.
Option C: The number of developers downloading an API specification can be an indicator of interest but does not confirm actual usage or enablement.
Option D (Correct Answer): The number of consumers who have requested and received access to an API in production is a key metric indicating API adoption and reuse, which aligns with C4E's goals.
Conclusion:
Option D is the correct answer as it provides a direct measure of consumer engagement and adoption, indicating the success of the C4E in promoting API usage across the organization.
Refer to MuleSoft's documentation on C4E KPIs and API usage metrics for additional insights.
NEW QUESTION # 58
A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?
Answer: B
Explanation:
Correct Answe r: When development is already organized into several independent initiatives or groups
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>> It would require lot of process effort in an organization to have a single C4E team coordinating with multiple already organized development teams which are into several independent initiatives. A single C4E works well with different teams having at least a common initiative. So, in this scenario, federated C4E works well instead of centralized C4E.
NEW QUESTION # 59
What is a best practice when building System APIs?
Answer: D
Explanation:
Correct Answe r: Model all API resources and methods to closely mimic the operations of the backend system.
*****************************************
>> There are NO fixed and straight best practices while opting data models for APIs. They are completly contextual and depends on number of factors. Based upon those factors, an enterprise can choose if they have to go with Enterprise Canonical Data Model or Bounded Context Model etc.
>> One should NEVER expose the technical details of API implementation to their API clients. Only the API interface/ RAML is exposed to API clients.
>> It is true that the RAML definitions of APIs should be as detailed as possible and should reflect most of the documentation. However, just that is NOT enough to call your API as best documented API. There should be even more documentation on Anypoint Exchange with API Notebooks etc. to make and create a developer friendly API and repository..
>> The best practice always when creating System APIs is to create their API interfaces by modeling their resources and methods to closely reflect the operations and functionalities of that backend system.
NEW QUESTION # 60
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