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| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Operational visibility and optimization - Logging and alerting configuration - Monitoring strategies and tools |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Scalability and performance patterns - Event-driven and synchronous integration - Error handling and reliability patterns |
| Architecting and Deploying API Implementations | 11% | - Networking and security configuration - Runtime architecture and deployment options - CI/CD and DevOps integration - High availability and fault tolerance |
| Managing APIs | 12% | - API policies and security enforcement - Rate limiting and throttling - Versioning and deprecation strategies - API lifecycle management |
| Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Governance and organizational structure - Platform strategy and roadmap definition - Anypoint Platform architecture and components |
| Deploying API Implementations to CloudHub | 11% | - VPC and private space configuration - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities |
| Designing and Sharing APIs | 11% | - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs - API design standards and best practices |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Reliability and availability targets - Security and compliance standards - Maintainability and testability |
| Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
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NEW QUESTION # 59
What Anypoint Platform Capabilities listed below fall under APIs and API Invocations/Consumers category? Select TWO.
Answer: B
Explanation:
Correct Answers: API Design and Development and API Runtime Execution and Hosting
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>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
Correct Answers: API Operations and Management and API Consumer Engagement
*****************************************
>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks
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Top of Form
NEW QUESTION # 60
Refer to the exhibit.
A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?
Answer: B
Explanation:
Correct Answe r: The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
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>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
Reference:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
NEW QUESTION # 61
An enterprise is embarking on the API-led digital transformation journey, and the central IT team has started to define System APIs. Currently there is no Enterprise Data Model being defined within the enterprise, and the definition of a clean Bounded Context Data Model requires too much effort.
According to MuleSoft's recommended guidelines, how should the System API data model be defined?
Answer: D
Explanation:
When defining data models for System APIs without an established Enterprise Data Model, MuleSoft recommends mirroring the back-end systems' data types to achieve quick and effective integration without adding complexity. This approach has several benefits:
Alignment with Backend Systems:
Mirroring data types ensures consistency with backend data sources, which simplifies integration, reduces mapping requirements, and minimizes potential data transformation issues.
Flexibility for Future Enhancements:
By retaining close alignment with backend data structures, System APIs can evolve to support an Enterprise Data Model in the future without immediate restructuring.
of Incorrect Options:
Option A (exposing misspellings) is not recommended as System APIs should still ensure a professional and coherent interface.
Option C (custom naming) complicates the API structure without adding immediate value in the absence of a clear data model.
Option D (exposing all fields) is unnecessary and can reduce performance and add complexity.
Reference
Refer to MuleSoft best practices for data modeling in System APIs for additional information on mirroring backend systems.
NEW QUESTION # 62
A company wants to move its Mule API implementations into production as quickly as possible. To protect access to all Mule application data and metadata, the company requires that all Mule applications be deployed to the company's customer-hosted infrastructure within the corporate firewall. What combination of runtime plane and control plane options meets these project lifecycle goals?
Answer: B
Explanation:
Correct Answe r: Manually provisioned customer-hosted runtime plane and customer-hosted control plane
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There are two key factors that are to be taken into consideration from the scenario given in the question.
>> Company requires both data and metadata to be resided within the corporate firewall
>> Company would like to go with customer-hosted infrastructure.
Any deployment model that is to deal with the cloud directly or indirectly (Mulesoft-hosted or Customer's own cloud like Azure, AWS) will have to share atleast the metadata.
Application data can be controlled inside firewall by having Mule Runtimes on customer hosted runtime plane. But if we go with Mulsoft-hosted/ Cloud-based control plane, the control plane required atleast some minimum level of metadata to be sent outside the corporate firewall.
As the customer requirement is pretty clear about the data and metadata both to be within the corporate firewall, even though customer wants to move to production as quickly as possible, unfortunately due to the nature of their security requirements, they have no other option but to go with manually provisioned customer-hosted runtime plane and customer-hosted control plane.
NEW QUESTION # 63
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: B
NEW QUESTION # 64
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