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| Section | Weight | Objectives |
|---|---|---|
| Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Maintainability and testability - Security and compliance standards |
| Monitoring and Analyzing Application Networks | 8% | - Operational visibility and optimization - Logging and alerting configuration - Analytics and insight generation - Monitoring strategies and tools |
| Architecting and Deploying API Implementations | 11% | - CI/CD and DevOps integration - High availability and fault tolerance - Networking and security configuration - Runtime architecture and deployment options |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components - Governance and organizational structure - Platform strategy and roadmap definition |
| Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - VPC and private space configuration - Worker sizing and resource planning - Deployment optimization and scaling |
| Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API design standards and best practices - API specification and documentation - Asset sharing and reuse via Anypoint Exchange |
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Error handling and reliability patterns - Common integration patterns and use cases - Event-driven and synchronous integration |
| Managing APIs | 12% | - API lifecycle management - Versioning and deprecation strategies - API policies and security enforcement - Rate limiting and throttling |
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NEW QUESTION # 129
In which layer of API-led connectivity, does the business logic orchestration reside?
Answer: C
Explanation:
Correct Answe r: Process Layer
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>> Experience layer is dedicated for enrichment of end user experience. This layer is to meet the needs of different API clients/ consumers.
>> System layer is dedicated to APIs which are modular in nature and implement/ expose various individual functionalities of backend systems
>> Process layer is the place where simple or complex business orchestration logic is written by invoking one or many System layer modular APIs So, Process Layer is the right answer.
NEW QUESTION # 130
What should be ensured before sharing an API through a public Anypoint Exchange portal?
Answer: D
Explanation:
Correct Answe r: The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility.
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Reference:
https://docs.mulesoft.com/exchange/to-share-api-asset-to-portal
NEW QUESTION # 131
A developer from the Central IT team has created an initial version of the RAML definition in Design Center for an OAuth 2.0-protected System API and published it to Exchange. Another developer from LoB IT discovered the System API in Exchange and would like to leverage it in the Process API.
What is the MuleSoft-recommended approach for Process API to invoke the System API?
Answer: C
Explanation:
In MuleSoft's ecosystem, when a Process API needs to consume a System API (published to Exchange and protected by OAuth 2.0), the recommended approach is to utilize the REST Connect Connector. Here's how it aligns with best practices:
Automated Connector Generation:
When a RAML or OAS specification is published in Exchange, MuleSoft automatically generates a REST Connect Connector for that API. This connector simplifies integration as it abstracts the complexity of making HTTP requests and handling OAuth authentication.
Streamlined Integration:
The Process API can import this generated connector from Exchange and configure OAuth credentials, streamlining secure access to the System API without manual HTTP setup.
Why Option C is Correct:
Using the REST Connect Connector directly leverages MuleSoft's automated tooling, minimizing manual configurations and ensuring a more maintainable integration.
of Incorrect Options:
Option A (importing an OAuth module) is unnecessary; OAuth is handled within the connector's configuration.
Option B (property YAML files with HTTP requests) involves manual setup, which is more error-prone and not recommended.
Option D (manually updating POM file) does not directly aid in invoking an API through Exchange.
Reference
For more information on using REST Connect Connectors and OAuth integration in MuleSoft, refer to the MuleSoft documentation on API Management and Connectors.
NEW QUESTION # 132
What Mule application can have API policies applied by
Anypoint Platform to the endpoint exposed by that Mule application?
A) A Mule application that accepts requests over HTTP/1.x
B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response C) A Mute application that accepts JSON requests over WebSocket D) A Mule application that accepts gRPC requests over HTTP/2
Answer: A
Explanation:
Correct Answe r: Option A
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>> Anypoint API Manager and API policies are applicable to all types of HTTP/1.x APIs.
>> They are not applicable to WebSocket APIs, HTTP/2 APIs and gRPC APIs
NEW QUESTION # 133
Refer to the exhibit.
Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices C) Build all API data models using XML schema to drive consistency and reuse across the organization D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant
Answer: A
Explanation:
Correct Answe r: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
*****************************************
>> The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
>> Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
NEW QUESTION # 134
......
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