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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploying API Implementations to CloudHub | 11% | - VPC and private space configuration - Worker sizing and resource planning - CloudHub architecture and capabilities - Deployment optimization and scaling |
| Topic 2: Meeting API Quality Goals | 8% | - Maintainability and testability - Reliability and availability targets - Security and compliance standards - Performance and latency requirements |
| Topic 3: Establishing Organizational and Platform Foundations | 17% | - Governance and organizational structure - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model |
| Topic 4: Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Networking and security configuration - CI/CD and DevOps integration - Runtime architecture and deployment options |
| Topic 5: Managing APIs | 12% | - API lifecycle management - API policies and security enforcement - Rate limiting and throttling - Versioning and deprecation strategies |
| Topic 6: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Scalability and performance patterns - Event-driven and synchronous integration - Error handling and reliability patterns |
| Topic 7: Monitoring and Analyzing Application Networks | 8% | - Operational visibility and optimization - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools |
| Topic 8: Explaining Application Network Basics | 11% | - Benefits of modern API design - API-led connectivity principles - Core concepts of application networks |
| Topic 9: Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API design standards and best practices |
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NEW QUESTION # 72
An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?
Answer: A
Explanation:
Correct Answe r: Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
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>> Canonical models are not an option here as the organization has already put in efforts and created bounded-context models for Experience and Process APIs.
>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned that experience and process APIs share same bounded-context model. It is just the System layer APIs that need to choose their approach now.
>> So, having an anti-corruption layer just between the process and system layers will work well. Also to speed up the approach, system APIs can mimic the backend system data model.
NEW QUESTION # 73
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?
Answer: C
Explanation:
Correct Answe r: Convince the development team of the product API to adopt the API data model of the Order API such that integration logic of the Order API can work with one consistent internal data model
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Key details to note from the given scenario:
>> Power relationship between Order API and Product API is customer/supplier So, as per below rules of "Power Relationships", the caller (in this case Order API) would request for features to the called (Product API team) and the Product API team would need to accomodate those requests.
NEW QUESTION # 74
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?
Answer: D
Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 75
What Anypoint Platform Capabilities listed below fall under APIs and API Invocations/Consumers category? Select TWO.
Answer: A
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
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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
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks
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NEW QUESTION # 76
What should be ensured before sharing an API through a public Anypoint Exchange portal?
Answer: C
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 # 77
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