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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?
A. Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream anddownstream data models
B. Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.
C. 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 cooperateacross the system and process layers
D. Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexityand overhead of building canonical models
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstreamAPI has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
A. An SLA for the upstream API CANNOT be provided
B. The invocation of the downstream API will run to completion without timing out
C. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
D. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
An organization wants to make sure only known partners can invoke the organization's APIs. To achieve this security goal, the organization wants to enforce a Client ID Enforcement policy in API Manager so that only registered partner applications can invoke the organization's APIs. In what type of API implementation does MuleSoft recommend adding an API proxy to enforce the Client ID Enforcement policy, rather than embedding the policy directly in the application's JVM?
A. A Mule 3 application using APIkit
B. A Mule 3 or Mule 4 application modified with custom Java code
C. A Mule 4 application with an API specification
D. A Non-Mule application
What are the major benefits of MuleSoft proposed IT Operating Model?
A.1. Decrease the IT delivery gap 2. Meet various business demands without increasing the IT capacity 3. Focus on creation of reusable assets first. Upon finishing creation of all the possibleassets then inform the LOBs in the organization to start using them
B. 1. Decrease the IT delivery gap 2. Meet various business demands by increasing the IT capacity and forming various IT departments 3. Make consumption of assets at the rate of production
C. 1. Decrease the IT delivery gap 2. Meet various business demands without increasing the IT capacity 3. Make consumption of assets at the rate of production
Which of the following sequence is correct?
A. API Client implementes logic to call an API >> API Consumer requests access to API >> API Implementation routes the request to >> API
B. API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation
C. API Consumer implementes logic to call an API >> API Client requests access to API >> API Implementation routes the request to >> API
D. API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to >> API Implementation
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API toavoid overloading the backend system?
A. Rate limiting
B. HTTP caching
C. Rate limiting - SLA based
D. Spike control
A company requires Mule applications deployed to CloudHub to be isolated between nonproduction and production environments. This is so Mule applications deployed to nonproduction environments can only access backend systems running in their customerhosted non-production environment, and so Mule applications deployed to production environments can only access backend systems running in their customer-hosted production environment. How does MuleSoft recommend modifying Mule applications, configuring environments, or changing infrastructure to support this type of perenvironment isolation between Mule applications and backend systems?
A. Modify properties of Mule applications deployed to the production Anypoint Platform environments to prevent access from non-production Mule applications
B. Configure firewall rules in the infrastructure inside each customer-hosted environment so that only IP addresses from the corresponding Anypoint Platform environments are allowedto communicate with corresponding backend systems
C. Create non-production and production environments in different Anypoint Platform business groups
D. Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hostedenvironments
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 APIimplementation 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?
A. Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment usingAnypoint CLI or the Anypoint Platform REST APIsB.
B. Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager
C. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime M
D. Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to theProduction environment
A REST API is being designed to implement a Mule application. What standard interface definition language can be used to define REST APIs?
A. Web Service Definition Language(WSDL)
B. OpenAPI Specification (OAS)
D. AsyncAPI Specification
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client tothe system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limitingoffered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?
A. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployedto the DR environment
B. Invoke the system API deployed to the primary environment; add retry logic to the process API to handle intermittent failures by invoking the system API deployed to the DRenvironment
C. In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment; add timeout and retry logic to the process API to avoidintermittent failures; add logic to the process API to combine the results
D. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke a copy of the process APIdeployed to the DR environment