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| Section | Weight | Objectives |
|---|---|---|
| Designing and Sharing APIs | 11% | - API design standards and best practices - API layering: Experience, Process, System APIs - API specification and documentation - Asset sharing and reuse via Anypoint Exchange |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Scalability and performance patterns - Event-driven and synchronous integration - Error handling and reliability patterns |
| Managing APIs | 12% | - Rate limiting and throttling - API policies and security enforcement - API lifecycle management - Versioning and deprecation strategies |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Monitoring strategies and tools - Logging and alerting configuration - Operational visibility and optimization |
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Governance and organizational structure - Center for Enablement (C4E) operating model |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - CI/CD and DevOps integration - Networking and security configuration - High availability and fault tolerance |
| Meeting API Quality Goals | 8% | - Security and compliance standards - Maintainability and testability - Reliability and availability targets - Performance and latency requirements |
| Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Worker sizing and resource planning - VPC and private space configuration - Deployment optimization and scaling |
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NEW QUESTION # 44
A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?
Answer: D
NEW QUESTION # 45
What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?
Answer: B
Explanation:
Correct Answe r: They must be deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction.
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>> As per legal regulations, all data processing to be performed within a certain jurisdiction. Meaning, the data in USA should reside within USA and should not go out. Same way, the data in EU should reside within EU and should not go out.
>> So, just encrypting the data in transit and at rest does not help to be compliant with the rules. We need to make sure that data does not go out too.
>> The data that we are talking here is not just about the messages that are published to Anypoint MQ. It includes the apps running, transaction states, application logs, events, metric info and any other metadata. So, just replacing Anypoint MQ with a locally hosted ActiveMQ does NOT help.
>> The data that we are talking here is not just about the key/value pairs that are stored in Object Store. It includes the messages published, apps running, transaction states, application logs, events, metric info and any other metadata. So, just avoiding using Object Store does NOT help.
>> The only option left and also the right option in the given choices is to deploy application on runtime and control planes that are both within the jurisdiction.
NEW QUESTION # 46
An established communications company is beginning its API-led connectivity journey, The company has been using a successful Enterprise Data Model for many years. The company has identified a self-service account management app as the first effort for API-led, and it has identified the following APIs.
Experience layer: Mobile Account Management EAPI, Browser Account Management EAPI Process layer: Customer Lookup PAPI, Service Lookup PAPI, Account Lookup PAPI System layer: Customer SAPI, Account SAPI, Product SAPI, Service SAPI According to MuleSoft's API-led connectivity approach, which API would not be served by the Enterprise Data Model?
Answer: B
Explanation:
In the API-led connectivity approach, APIs are categorized into Experience, Process, and System layers:
Enterprise Data Model Scope:
The Enterprise Data Model (EDM) generally supports System APIs and some Process APIs by defining standard data structures used across the organization. Experience APIs, however, are tailored to specific applications or interfaces and are less likely to be served directly by the EDM, as they may require customized data representations to meet the unique needs of each user interface.
Why Option C is Correct:
The Mobile Account Management EAPI serves mobile-specific needs and often requires data formatted differently from the standardized data models. Thus, it would be outside the direct scope of the EDM and might employ custom mappings to fit mobile application requirements.
of Incorrect Options:
Option A (Customer SAPI), Option B (Customer Lookup PAPI), and Option D (Service SAPI) would typically align with the EDM as they are closer to the core data and services the EDM supports.
Reference
For additional guidance, review MuleSoft's best practices on API-led connectivity and data modeling.
NEW QUESTION # 47
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
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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 # 48
When can CloudHub Object Store v2 be used?
Answer: C
Explanation:
CloudHub Object Store v2 is a managed key-value store provided by MuleSoft to support various use cases where temporary data storage is required. Here's why Option D is correct:
Key Length Support: Object Store v2 allows storage of keys with a length of up to 300 characters, making it suitable for applications needing flexible and descriptive keys.
Limitations on Size:
Object Store v2 is not intended for large payload storage and has a recommended size limit below 10 MB for each value. Payloads exceeding 15 MB may cause performance issues and are better suited to a file storage system or database.
Option B is incorrect because storing payloads above 15 MB exceeds Object Store's optimal usage specifications.
Key-Value Limits: Object Store v2 is designed for moderate, transient storage needs, and does not support unlimited storage. Thus, Option A is incorrect.
Backward Compatibility: Object Store v2 does not support Mule 4 applications running Object Store v1. Option C is incorrect as Object Store v1 and v2 are distinct.
Reference
For more on CloudHub Object Store v2, refer to MuleSoft documentation on Object Store limitations and configuration.
NEW QUESTION # 49
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